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Author: Dongyoung Sohn
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 190
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Book Description
The Internet creates a very unique environment where numerous individuals and widely distributed organizations can communicate and even collaborate for common interests. Virtual communities, shared information databases, and online forums are visible examples of the self-organizing social collectivities, which emerge from the many-to-many interactions among voluntary participants. Online social communities exemplified by blogs and social networking sites are getting more and more attention nowadays from the business sector, and companies are eager to find ways to use them for business opportunities. Despite the mushrooming hype regarding the unlimited potentials of virtual community, little is known about its complex nature-how virtual communities are born, sustained, and under what circumstances they collapse. A virtual community is an aggregate of voluntary participants, in which individual behaviors are in conjunction with the behaviors of others. People decide to contribute or free-ride in response to the contributing or free-riding behaviors of others. If many people already are contributing to the community, for example, one may be strongly tempted to free-ride, while this may not be the case if there are very few contributors. Understanding this social interdependence is the key to grasping the collective dynamics underlying virtual communities. This book aims at illuminating the implications of the collective social dynamics in a computer-mediated environment on advertising, business, and communication in general. Along with conceptual discussions, this book shows some experimental findings related to the psychological and social-structural factors affecting individuals' communicative motivations. "This pioneering book should be valuable to read since it is one of the first academic attempts to shed light on how network structures influence the behaviors of individuals on the Internet." - John D. Leckenby, Professor and Everett D. Collier Centennial Chair in Communication, The University of Texas at Austin
Author: Dongyoung Sohn
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 190
Get Book
Book Description
The Internet creates a very unique environment where numerous individuals and widely distributed organizations can communicate and even collaborate for common interests. Virtual communities, shared information databases, and online forums are visible examples of the self-organizing social collectivities, which emerge from the many-to-many interactions among voluntary participants. Online social communities exemplified by blogs and social networking sites are getting more and more attention nowadays from the business sector, and companies are eager to find ways to use them for business opportunities. Despite the mushrooming hype regarding the unlimited potentials of virtual community, little is known about its complex nature-how virtual communities are born, sustained, and under what circumstances they collapse. A virtual community is an aggregate of voluntary participants, in which individual behaviors are in conjunction with the behaviors of others. People decide to contribute or free-ride in response to the contributing or free-riding behaviors of others. If many people already are contributing to the community, for example, one may be strongly tempted to free-ride, while this may not be the case if there are very few contributors. Understanding this social interdependence is the key to grasping the collective dynamics underlying virtual communities. This book aims at illuminating the implications of the collective social dynamics in a computer-mediated environment on advertising, business, and communication in general. Along with conceptual discussions, this book shows some experimental findings related to the psychological and social-structural factors affecting individuals' communicative motivations. "This pioneering book should be valuable to read since it is one of the first academic attempts to shed light on how network structures influence the behaviors of individuals on the Internet." - John D. Leckenby, Professor and Everett D. Collier Centennial Chair in Communication, The University of Texas at Austin
Author: Barry Wellman
Publisher: CUP Archive
ISBN: 9780521286879
Category : Social Science
Languages : en
Pages : 536
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Book Description
This study of social structures looks at the network approach. It contains non-technical articles that contrast structural analysis with other social scientific approaches. It deals with individual behaviour and identity and with neighbourhood and community ties. It examines the relationships within and between organizations, discussing how firms occupy strategically appropriate niches. It also explores the impact of the growth of the Internet, equating computer networks as social networks connecting people in virtual communities and collaborative work.
Author: Ajith Abraham
Publisher: Springer
ISBN: 9781447125327
Category : Computers
Languages : en
Pages : 0
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Book Description
Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems. Topics and Features: Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites, surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information, reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities, examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation, discusses team selection based on members’ social context, presents social network applications, including music recommendation and face recognition in photographs, explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services. This useful and comprehensive volume will be indispensible to senior undergraduate and postgraduate students taking courses in Social Intelligence, as well as to researchers, developers, and postgraduates interested in intelligent-social-networks research and related areas.
Author: Ajith Abraham
Publisher: Springer Science & Business Media
ISBN: 1848822294
Category : Computers
Languages : en
Pages : 487
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Book Description
Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems. Topics and Features: Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites, surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information, reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities, examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation, discusses team selection based on members’ social context, presents social network applications, including music recommendation and face recognition in photographs, explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services. This useful and comprehensive volume will be indispensible to senior undergraduate and postgraduate students taking courses in Social Intelligence, as well as to researchers, developers, and postgraduates interested in intelligent-social-networks research and related areas.
Author: David Easley
Publisher: Cambridge University Press
ISBN: 1139490303
Category : Computers
Languages : en
Pages : 745
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Book Description
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.
Author: Athena Vakali
Publisher: Springer Science & Business Media
ISBN: 3642175503
Category : Computers
Languages : en
Pages : 357
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Book Description
This book addresses the major issues in the Web data management related to technologies and infrastructures, methodologies and techniques as well as applications and implementations. Emphasis is placed on Web engineering and technologies, Web graph managing, searching and querying and the importance of social Web.
Author: Jennifer Golbeck
Publisher: Newnes
ISBN: 0124058566
Category : Computers
Languages : en
Pages : 291
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Book Description
Analyzing the Social Web provides a framework for the analysis of public data currently available and being generated by social networks and social media, like Facebook, Twitter, and Foursquare. Access and analysis of this public data about people and their connections to one another allows for new applications of traditional social network analysis techniques that let us identify things like who are the most important or influential people in a network, how things will spread through the network, and the nature of peoples' relationships. Analyzing the Social Web introduces you to these techniques, shows you their application to many different types of social media, and discusses how social media can be used as a tool for interacting with the online public. Presents interactive social applications on the web, and the types of analysis that are currently conducted in the study of social media Covers the basics of network structures for beginners, including measuring methods for describing nodes, edges, and parts of the network Discusses the major categories of social media applications or phenomena and shows how the techniques presented can be applied to analyze and understand the underlying data Provides an introduction to information visualization, particularly network visualization techniques, and methods for using them to identify interesting features in a network, generate hypotheses for analysis, and recognize patterns of behavior Includes a supporting website with lecture slides, exercises, and downloadable social network data sets that can be used can be used to apply the techniques presented in the book
Author: Charu C. Aggarwal
Publisher: Springer Science & Business Media
ISBN: 1441984623
Category : Computers
Languages : en
Pages : 502
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Book Description
Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.
Author: Borko Furht
Publisher: Springer Science & Business Media
ISBN: 1441971424
Category : Computers
Languages : en
Pages : 718
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Book Description
Social networking is a concept that has existed for a long time; however, with the explosion of the Internet, social networking has become a tool for people to connect and communicate in ways that were impossible in the past. The recent development of Web 2.0 has provided many new applications, such as Myspace, Facebook, and LinkedIn. The purpose of Handbook of Social Network Technologies and Applications is to provide comprehensive guidelines on the current and future trends in social network technologies and applications in the field of Web-based Social Networks. This handbook includes contributions from world experts in the field of social networks from both academia and private industry. A number of crucial topics are covered including Web and software technologies and communication technologies for social networks. Web-mining techniques, visualization techniques, intelligent social networks, Semantic Web, and many other topics are covered. Standards for social networks, case studies, and a variety of applications are covered as well.
Author: Maksim Tsvetovat
Publisher: "O'Reilly Media, Inc."
ISBN: 1449306462
Category : Business & Economics
Languages : en
Pages : 191
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Book Description
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
