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| networks crowds and markets: Networks, Crowds, and Markets David Easley, Jon Kleinberg, 2010-07-19 Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others. |
| networks crowds and markets: Introduction to High Performance Computing for Scientists and Engineers Georg Hager, Gerhard Wellein, 2010-07-02 Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author |
| networks crowds and markets: A Course in Networks and Markets Rafael Pass, 2019-04-16 A graduate-level, mathematically rigorous introduction to strategic behavior in a networked world. This introductory graduate-level text uses tools from game theory and graph theory to examine the role of network structures and network effects in economic and information markets. The goal is for students to develop an intuitive and mathematically rigorous understanding of how strategic agents interact in a connected world. The text synthesizes some of the central results in the field while also simplifying their treatment to make them more accessible to nonexperts. Thus, students at the introductory level will gain an understanding of key ideas in the field that are usually only taught at the advanced graduate level. The book introduces basic concepts from game theory and graph theory as well as some fundamental algorithms for exploring graphs. These tools are then applied to analyze strategic interactions over social networks, to explore different types of markets and mechanisms for networks, and to study the role of beliefs and higher-level beliefs (beliefs about beliefs). Specific topics discussed include coordination and contagion on social networks, traffic networks, matchings and matching markets, exchange networks, auctions, voting, web search, models of belief and knowledge, and how beliefs affect auctions and markets. An appendix offers a “Primer on Probability.” Mathematically rigorous, the text assumes a level of mathematical maturity (comfort with definitions and proofs) in the reader. |
| networks crowds and markets: Complex Networks Vito Latora, Vincenzo Nicosia, Giovanni Russo, 2017-09-28 Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems and metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social phenomena that shape our world. Rigorous and thorough, this textbook presents a detailed overview of the new theory and methods of network science. Covering algorithms for graph exploration, node ranking and network generation, among others, the book allows students to experiment with network models and real-world data sets, providing them with a deep understanding of the basics of network theory and its practical applications. Systems of growing complexity are examined in detail, challenging students to increase their level of skill. An engaging presentation of the important principles of network science makes this the perfect reference for researchers and undergraduate and graduate students in physics, mathematics, engineering, biology, neuroscience and the social sciences. |
| networks crowds and markets: Machine, Platform, Crowd: Harnessing Our Digital Future Andrew McAfee, Erik Brynjolfsson, 2017-06-27 “A clear and crisply written account of machine intelligence, big data and the sharing economy. But McAfee and Brynjolfsson also wisely acknowledge the limitations of their futurology and avoid over-simplification.” —Financial Times In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help readers make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments. |
| networks crowds and markets: Interfirm Networks Josef Windsperger, Gérard Cliquet, Thomas Ehrmann, Georg Hendrikse, 2014-12-01 The organization of interfirm networks, such as alliances, cooperatives, franchise and retail chains, has become an important research topic in the field of economics, marketing, strategic management, and organization theory. This book contributes to the literature on formal and informal inter-organizational governance by providing new insights on contract design, ownership, evolution of cooperation, role of social capital and performance in franchising networks; includes topics of loyalty, reputation and organizational form as well as performance of cooperatives, and discusses the relationship between formal and relational governance in alliances, governance structures of innovation activities, dynamics of interfirm conflicts, and network externalities and alliance formation. |
| networks crowds and markets: Graph Mining Deepayan Chakrabarti, Christos Faloutsos, 2022-05-31 What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks, computer-communication networks (intrusion detection, traffic management), protein-protein interaction networks in biology, document-text bipartite graphs in text retrieval, person-account graphs in financial fraud detection, and others. In this work, first we list several surprising patterns that real graphs tend to follow. Then we give a detailed list of generators that try to mirror these patterns. Generators are important, because they can help with what if scenarios, extrapolations, and anonymization. Then we provide a list of powerful tools for graph analysis, and specifically spectral methods (Singular Value Decomposition (SVD)), tensors, and case studies like the famous pageRank algorithm and the HITS algorithm for ranking web search results. Finally, we conclude with a survey of tools and observations from related fields like sociology, which provide complementary viewpoints. Table of Contents: Introduction / Patterns in Static Graphs / Patterns in Evolving Graphs / Patterns in Weighted Graphs / Discussion: The Structure of Specific Graphs / Discussion: Power Laws and Deviations / Summary of Patterns / Graph Generators / Preferential Attachment and Variants / Incorporating Geographical Information / The RMat / Graph Generation by Kronecker Multiplication / Summary and Practitioner's Guide / SVD, Random Walks, and Tensors / Tensors / Community Detection / Influence/Virus Propagation and Immunization / Case Studies / Social Networks / Other Related Work / Conclusions |
| networks crowds and markets: Networks, Crowds, and Markets David Easley, Jon Kleinberg, 2010-07-19 Over the past decade there has been a growing public fascination with the complex connectedness of modern society. This connectedness is found in many incarnations: in the rapid growth of the Internet, in the ease with which global communication takes place, and in the ability of news and information as well as epidemics and financial crises to spread with surprising speed and intensity. These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which our decisions can have subtle consequences for others. This introductory undergraduate textbook takes an interdisciplinary look at economics, sociology, computing and information science, and applied mathematics to understand networks and behavior. It describes the emerging field of study that is growing at the interface of these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected. |
| networks crowds and markets: Networks, Crowds, and Markets David Easley, Jon Kleinberg, 2010-07-19 Over the past decade there has been a growing public fascination with the complex connectedness of modern society. This connectedness is found in many incarnations: in the rapid growth of the Internet, in the ease with which global communication takes place, and in the ability of news and information as well as epidemics and financial crises to spread with surprising speed and intensity. These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which our decisions can have subtle consequences for others. This introductory undergraduate textbook takes an interdisciplinary look at economics, sociology, computing and information science, and applied mathematics to understand networks and behavior. It describes the emerging field of study that is growing at the interface of these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected. |
| networks crowds and markets: Games User Research Anders Drachen, Pejman Mirza-Babaei, Lennart E. Nacke, 2018 Games live and die commercially on the player experience. Games User Research is collectively the way we optimise the quality of the user experience (UX) in games, working with all aspects of a game from the mechanics and interface, visuals and art, interaction and progression, making sure every element works in concert and supports the game UX. This means that Games User Research is essential and integral to the production of games and to shape the experience of players. Today, Games User Research stands as the primary pathway to understanding players and how to design, build, and launch games that provide the right game UX. Until now, the knowledge in Games User Research and Game UX has been fragmented and there were no comprehensive, authoritative resources available. This book bridges the current gap of knowledge in Games User Research, building the go-to resource for everyone working with players and games or other interactive entertainment products. It is accessible to those new to Games User Research, while being deeply comprehensive and insightful for even hardened veterans of the game industry. In this book, dozens of veterans share their wisdom and best practices on how to plan user research, obtain the actionable insights from users, conduct user-centred testing, which methods to use when, how platforms influence user research practices, and much, much more. |
| networks crowds and markets: Computational Network Science Henry Hexmoor, 2014-09-23 The emerging field of network science represents a new style of research that can unify such traditionally-diverse fields as sociology, economics, physics, biology, and computer science. It is a powerful tool in analyzing both natural and man-made systems, using the relationships between players within these networks and between the networks themselves to gain insight into the nature of each field. Until now, studies in network science have been focused on particular relationships that require varied and sometimes-incompatible datasets, which has kept it from being a truly universal discipline. Computational Network Science seeks to unify the methods used to analyze these diverse fields. This book provides an introduction to the field of Network Science and provides the groundwork for a computational, algorithm-based approach to network and system analysis in a new and important way. This new approach would remove the need for tedious human-based analysis of different datasets and help researchers spend more time on the qualitative aspects of network science research. - Demystifies media hype regarding Network Science and serves as a fast-paced introduction to state-of-the-art concepts and systems related to network science - Comprehensive coverage of Network Science algorithms, methodologies, and common problems - Includes references to formative and updated developments in the field - Coverage spans mathematical sociology, economics, political science, and biological networks |
| networks crowds and markets: The Network Reshapes the Library Lorcan Dempsey, 2014-08-18 Since he began posting in 2003, Dempsey has used his blog to explore nearly every important facet of library technology, from the emergence of Web 2.0 as a concept to open source ILS tools and the push to web-scale library management systems. |
| networks crowds and markets: Transparency in Social Media Sorin Adam Matei, Martha G. Russell, Elisa Bertino, 2015-07-22 The volume presents, in a synergistic manner, significant theoretical and practical contributions in the area of social media reputation and authorship measurement, visualization, and modeling. The book justifies and proposes contributions to a future agenda for understanding the requirements for making social media authorship more transparent. Building on work presented in a previous volume of this series, Roles, Trust, and Reputation in Social Media Knowledge Markets, this book discusses new tools, applications, services, and algorithms that are needed for authoring content in a real-time publishing world. These insights may help people who interact and create content through social media better assess their potential for knowledge creation. They may also assist in analyzing audience attitudes, perceptions, and behavior in informal social media or in formal organizational structures. In addition, the volume includes several chapters that analyze the higher order ethical, critical thinking, and philosophical principles that may be used to ground social media authorship. Together, the perspectives presented in this volume help us understand how social media content is created and how its impact can be evaluated. The chapters demonstrate thought leadership through new ways of constructing social media experiences and making traces of social interaction visible. Transparency in Social Media aims to help researchers and practitioners design services, tools, or methods of analysis that encourage a more transparent process of interaction and communication on social media. Knowing who has added what content and with what authority to a specific online social media project can help the user community better understand, evaluate and make decisions and, ultimately, act on the basis of such information. |
| networks crowds and markets: Graph Databases Ian Robinson, Jim Webber, Emil Eifrem, 2013-06-10 Discover how graph databases can help you manage and query highly connected data. With this practical book, you’ll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries or build a database that can adapt as your business evolves, this book shows you how to apply the schema-free graph model to real-world problems. Learn how different organizations are using graph databases to outperform their competitors. With this book’s data modeling, query, and code examples, you’ll quickly be able to implement your own solution. Model data with the Cypher query language and property graph model Learn best practices and common pitfalls when modeling with graphs Plan and implement a graph database solution in test-driven fashion Explore real-world examples to learn how and why organizations use a graph database Understand common patterns and components of graph database architecture Use analytical techniques and algorithms to mine graph database information |
| networks crowds and markets: Social Avalanche Christian Borch, 2020-01-09 A compelling account of how crowd dynamics, or social avalanches, are central to cities and financial markets. Just as urban inhabitants are prone to being caught up in the city's flux, the same dynamic can cause traders on financial exchanges and even the algorithms of present-day financial markets to be captured by the maelstrom of the market. |
| networks crowds and markets: Decision Making in Complex Environments Jan Noyes, Malcolm Cook, Yvonne Masakowshi, 2017-09-18 Many complex systems in civil and military operations are highly automated with the intention of supporting human performance in difficult cognitive tasks. The complex systems can involve teams or individuals working on real-time supervisory control, command or information management tasks where a number of constraints must be satisfied. Decision Making in Complex Environments addresses the role of the human, the technology and the processes in complex socio-technical and technological systems. The aim of the book is to apply a multi-disciplinary perspective to the examination of the human factors in complex decision making. It contains more than 30 contributions on key subjects such as military human factors, team decision making issues, situation awareness, and technology support. In addition to the major application area of military human factors there are chapters on business, medical, governmental and aeronautical decision making. The book provides a unique blend of expertise from psychology, human factors, industry, commercial environments, the military, computer science, organizational psychology and training that should be valuable to academics and practitioners alike. |
| networks crowds and markets: The Wisdom of Crowds James Surowiecki, 2004 An analysis of how to understand the workings of the world as it is reflected by groups contends that large groups have more collective intelligence than a smaller number of experts, drawing on a wide range of disciplines to offer insight into such topics as politics, business, and the environment. |
| networks crowds and markets: Networked Life Mung Chiang, 2012-09-10 How does the internet really work? This book explains the technology behind it all, in simple question and answer format. |
| networks crowds and markets: Social Physics Alex Pentland, 2014 A landmark tour of the new science of idea flow outlines revolutionary insights into the mysteries of collective intelligence and social influence, explaining the virtually unlimited data sets of today's digital technologies and the considerable accuracy of information from social networks. |
| networks crowds and markets: Society and Economy Mark Granovetter, 2017-02-27 A work of exceptional ambition by the founder of modern economic sociology, this first full account of Mark Granovetter’s ideas stresses that the economy is not a sphere separate from other human activities but is deeply embedded in social relations and subject to the same emotions, ideas, and constraints as religion, science, politics, or law. |
| networks crowds and markets: Random Graphs and Complex Networks Remco van der Hofstad, 2017 This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises. |
| networks crowds and markets: Connected Nicholas A. Christakis, James H. Fowler, 2009-09-28 Celebrated scientists Nicholas Christakis and James Fowler explain the amazing power of social networks and our profound influence on one another's lives. Your colleague's husband's sister can make you fat, even if you don't know her. A happy neighbor has more impact on your happiness than a happy spouse. These startling revelations of how much we truly influence one another are revealed in the studies of Dr. Christakis and Fowler, which have repeatedly made front-page news nationwide. In Connected, the authors explain why emotions are contagious, how health behaviors spread, why the rich get richer, even how we find and choose our partners. Intriguing and entertaining, Connected overturns the notion of the individual and provides a revolutionary paradigm-that social networks influence our ideas, emotions, health, relationships, behavior, politics, and much more. It will change the way we think about every aspect of our lives. |
| networks crowds and markets: Twenty Lectures on Algorithmic Game Theory Tim Roughgarden, 2016-08-30 Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management. |
| networks crowds and markets: Behind Deep Blue Feng-hsiung Hsu, 2022-05-03 The riveting quest to construct the machine that would take on the world’s greatest human chess player—told by the man who built it On May 11, 1997, millions worldwide heard news of a stunning victory, as a machine defeated the defending world chess champion, Garry Kasparov. Behind Deep Blue tells the inside story of the quest to create the mother of all chess machines and what happened at the two historic Deep Blue vs. Kasparov matches. Feng-hsiung Hsu, the system architect of Deep Blue, reveals how a modest student project started at Carnegie Mellon in 1985 led to the production of a multimillion-dollar supercomputer. Hsu discusses the setbacks, tensions, and rivalries in the race to develop the ultimate chess machine, and the wild controversies that culminated in the final triumph over the world's greatest human player. With a new foreword by Jon Kleinberg and a new preface from the author, Behind Deep Blue offers a remarkable look at one of the most famous advances in artificial intelligence, and the brilliant toolmaker who invented it. |
| networks crowds and markets: Networks of Outrage and Hope Manuel Castells, 2015-06-04 Networks of Outrage and Hope is an exploration of the newforms of social movements and protests that are erupting in theworld today, from the Arab uprisings to the indignadas movement inSpain, from the Occupy Wall Street movement to the social protestsin Turkey, Brazil and elsewhere. While these and similar socialmovements differ in many important ways, there is one thing theyshare in common: they are all interwoven inextricably with thecreation of autonomous communication networks supported by theInternet and wireless communication. In this new edition of his timely and important book, ManuelCastells examines the social, cultural and political roots of thesenew social movements, studies their innovative forms ofself-organization, assesses the precise role of technology in thedynamics of the movements, suggests the reasons for the supportthey have found in large segments of society, and probes theircapacity to induce political change by influencing people’sminds. Two new chapters bring the analysis up-to-date and draw outthe implications of these social movements and protests forunderstanding the new forms of social change and politicaldemocracy in the global network society. |
| networks crowds and markets: Statistical Analysis of Network Data Eric D. Kolaczyk, 2010-12-06 In recent years there has been an explosion of network data – that is, measu- ments that are either of or from a system conceptualized as a network – from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ‘network science. |
| networks crowds and markets: Network Analysis Mac Elwyn Van Valkenburg, 1964 |
| networks crowds and markets: The Cluetrain Manifesto Rick Levine, 2011 |
| networks crowds and markets: Social and Economic Networks Matthew O. Jackson, 2010-11-01 Networks of relationships help determine the careers that people choose, the jobs they obtain, the products they buy, and how they vote. The many aspects of our lives that are governed by social networks make it critical to understand how they impact behavior, which network structures are likely to emerge in a society, and why we organize ourselves as we do. In Social and Economic Networks, Matthew Jackson offers a comprehensive introduction to social and economic networks, drawing on the latest findings in economics, sociology, computer science, physics, and mathematics. He provides empirical background on networks and the regularities that they exhibit, and discusses random graph-based models and strategic models of network formation. He helps readers to understand behavior in networked societies, with a detailed analysis of learning and diffusion in networks, decision making by individuals who are influenced by their social neighbors, game theory and markets on networks, and a host of related subjects. Jackson also describes the varied statistical and modeling techniques used to analyze social networks. Each chapter includes exercises to aid students in their analysis of how networks function. This book is an indispensable resource for students and researchers in economics, mathematics, physics, sociology, and business. |
| networks crowds and markets: Social Network Analysis for Startups Maksim Tsvetovat, Alexander Kouznetsov, 2011-10-06 Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks. You'll also learn how to use Python and other open source tools—such as NetworkX, NumPy, and Matplotlib—to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas. Discover how internal social networks affect a company’s ability to perform Follow terrorists and revolutionaries through the 1998 Khobar Towers bombing, the 9/11 attacks, and the Egyptian uprising Learn how a single special-interest group can control the outcome of a national election Examine relationships between companies through investment networks and shared boards of directors Delve into the anatomy of cultural fads and trends—offline phenomena often mediated by Twitter and Facebook |
| networks crowds and markets: Networks of the Brain Olaf Sporns, 2016-02-12 An integrative overview of network approaches to neuroscience explores the origins of brain complexity and the link between brain structure and function. Over the last decade, the study of complex networks has expanded across diverse scientific fields. Increasingly, science is concerned with the structure, behavior, and evolution of complex systems ranging from cells to ecosystems. In Networks of the Brain, Olaf Sporns describes how the integrative nature of brain function can be illuminated from a complex network perspective. Highlighting the many emerging points of contact between neuroscience and network science, the book serves to introduce network theory to neuroscientists and neuroscience to those working on theoretical network models. Sporns emphasizes how networks connect levels of organization in the brain and how they link structure to function, offering an informal and nonmathematical treatment of the subject. Networks of the Brain provides a synthesis of the sciences of complex networks and the brain that will be an essential foundation for future research. |
| networks crowds and markets: A First Course in Network Science Filippo Menczer, Santo Fortunato, Clayton A. Davis, 2020-01-30 Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science. |
| networks crowds and markets: Handbook of Social Economics SET: 1A, 1B Jess Benhabib, Alberto Bisin, Matthew O. Jackson, 2011 How can economists define and measure social preferences and interactions? Through the use of new economic data and tools, our contributors survey an array of social interactions and decisions that typify homo economicus. Identifying economic strains in activities such as learning, group formation, discrimination, and the creation of peer dynamics, they demonstrate how they tease out social preferences from the influences of culture, familial beliefs, religion, and other forces. Advances our understanding about quantifying social interactions and the effects of culture Summarizes research on theoretical and applied economic analyses of social preferences Explores the recent willingness among economists to consider new arguments in the utility function |
| networks crowds and markets: Networks Mark Newman, 2010-03-25 The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks. The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas. Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks. |
| networks crowds and markets: Community detection and mining in social media Lei Tang, Huan Liu, 2022-06-01 The past decade has witnessed the emergence of participatory Web and social media, bringing people together in many creative ways. Millions of users are playing, tagging, working, and socializing online, demonstrating new forms of collaboration, communication, and intelligence that were hardly imaginable just a short time ago. Social media also helps reshape business models, sway opinions and emotions, and opens up numerous possibilities to study human interaction and collective behavior in an unparalleled scale. This lecture, from a data mining perspective, introduces characteristics of social media, reviews representative tasks of computing with social media, and illustrates associated challenges. It introduces basic concepts, presents state-of-the-art algorithms with easy-to-understand examples, and recommends effective evaluation methods. In particular, we discuss graph-based community detection techniques and many important extensions that handle dynamic, heterogeneous networks in social media. We also demonstrate how discovered patterns of communities can be used for social media mining. The concepts, algorithms, and methods presented in this lecture can help harness the power of social media and support building socially-intelligent systems. This book is an accessible introduction to the study of \emph{community detection and mining in social media}. It is an essential reading for students, researchers, and practitioners in disciplines and applications where social media is a key source of data that piques our curiosity to understand, manage, innovate, and excel. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, some toy data sets used in the book, and the source code of representative algorithms. The readers are encouraged to visit the book website for the latest information. Table of Contents: Social Media and Social Computing / Nodes, Ties, and Influence / Community Detection and Evaluation / Communities in Heterogeneous Networks / Social Media Mining |
| networks crowds and markets: Introduction to Game Theory Stef Tijs, 2003-01-01 |
| networks crowds and markets: The Science of Science Dashun Wang, Albert-László Barabási, 2021-03-25 This is the first comprehensive overview of the exciting field of the 'science of science'. With anecdotes and detailed, easy-to-follow explanations of the research, this book is accessible to all scientists, policy makers, and administrators with an interest in the wider scientific enterprise. |
| networks crowds and markets: Social Networking Mrutyunjaya Panda, Satchidananda Dehuri, Gi-Nam Wang, 2014-07-08 With the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining. |
| networks crowds and markets: The Human Network Matthew O. Jackson, 2019-03-05 Here is a fresh, intriguing, and, above all, authoritative book about how our sometimes hidden positions in various social structures—our human networks—shape how we think and behave, and inform our very outlook on life. Inequality, social immobility, and political polarization are only a few crucial phenomena driven by the inevitability of social structures. Social structures determine who has power and influence, account for why people fail to assimilate basic facts, and enlarge our understanding of patterns of contagion—from the spread of disease to financial crises. Despite their primary role in shaping our lives, human networks are often overlooked when we try to account for our most important political and economic practices. Matthew O. Jackson brilliantly illuminates the complexity of the social networks in which we are—often unwittingly—positioned and aims to facilitate a deeper appreciation of why we are who we are. Ranging across disciplines—psychology, behavioral economics, sociology, and business—and rich with historical analogies and anecdotes, The Human Network provides a galvanizing account of what can drive success or failure in life. |
List of United States radio networks - Wikipedia
Alabama Radio Network, a subsidiary of iHeartMedia.; Arizona News Radio, a subsidiary of Skyview Networks. Arkansas Radio Network, a subsidiary of Cumulus Media; California …
What is a Network? - Computer Hope
Jul 18, 2024 · A network is a collection of computers, servers, mainframes, peripherals, or other devices connected to facilitate communication and data sharing.Essentially, it is a system that …
Basics of Computer Networking - GeeksforGeeks
Feb 15, 2025 · Number of ports: 65,536 Range: 0 – 65535 Type “ netstat -a ” in the command prompt and press ‘Enter’, this lists all the ports being used. List of Ports. Socket: The unique …
What is a network? Definition, explanation, and examples
Oct 5, 2020 · The Wireless LAN (Wireless Local Area Network, i.e. the Wi-Fi network) in your home is a good example of a small client-server network.The various devices in your home are …
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Oct 24, 2024 · What are the different types of networks? Networks come in various forms, each tailored to specific needs and scales, from local area networks (LANs) that connect devices …
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Jul 1, 2024 · Before we delve into more complex networking topics, it’s important to understand fundamental networking components, including: IP address: An IP address is the unique …
What Is Computer Networking? - Cisco
How does a computer network work. Specialized devices such as switches, routers, and access points form the foundation of computer networks. Switches connect and help to internally …
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Mar 28, 2023 · Network topologies include the following types: Star network. A star network topology connects all nodes to a common central computer.; Ring network. Network devices …
Computer network | Definition & Types | Britannica
Apr 24, 2025 · Two basic network types are local area networks (LANs) and wide area networks (WANs). LANs connect computers and peripheral devices in a limited physical area, such as a …
What is Computer Networking + Basics - Codecademy
Feb 17, 2022 · Computer networks: Who hasn’t heard of them? We connect to them all the time, whether we’re at home, school, or work. But what exactly is a computer network, and what do …
List of United States radio networks - Wikipedia
Alabama Radio Network, a subsidiary of iHeartMedia.; Arizona News Radio, a subsidiary of Skyview Networks. Arkansas Radio Network, a subsidiary of Cumulus Media; California …
What is a Network? - Computer Hope
Jul 18, 2024 · A network is a collection of computers, servers, mainframes, peripherals, or other devices connected to facilitate communication and data sharing.Essentially, it is a system that …
Basics of Computer Networking - GeeksforGeeks
Feb 15, 2025 · Number of ports: 65,536 Range: 0 – 65535 Type “ netstat -a ” in the command prompt and press ‘Enter’, this lists all the ports being used. List of Ports. Socket: The unique …
What is a network? Definition, explanation, an…
Oct 5, 2020 · The Wireless LAN (Wireless Local Area Network, i.e. the Wi-Fi network) in your home is a good example of a small client-server network.The various devices in your …
11 Types of Networks: Understanding the Difference…
Oct 24, 2024 · What are the different types of networks? Networks come in various forms, each tailored to specific needs and scales, from local area networks (LANs) that connect …
