Understanding The Process Of Social Network Evolution

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Understanding the Process of Social Network Evolution

Author : Doyeon Kwak
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Understanding the Process of Social Network Evolution by : Doyeon Kwak

Download or read book Understanding the Process of Social Network Evolution written by Doyeon Kwak and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is important to consider the interweaving nature of online and offline social networks when we examine social network evolution. However, it is difficult to find any research that examines the process of social tie formation from an integrated perspective. In our study, we quantitatively measure offline interactions and examine the corresponding evolution of online social network in order to understand the significance of interrelationship between online and offline social factors in generating social ties. We analyze the radio signal strength indicator sensor data from a series of social events to understand offline interactions among the participants and measure the structural attributes of their existing online Facebook social networks. By monitoring the changes in their online social networks before and after offline interactions in a series of social events, we verify that the ability to develop an offline interaction into an online friendship is tied to the number of social connections that participants previously had, while the presence of shared mutual friends between a pair of participants disrupts potential new connections within the pre-designed offline social events. Thus, while our integrative approach enables us to confirm the theory of preferential attachment in the process of network formation, the common neighbor theory is not supported. Our dual-dimensional network analysis allows us to observe the actual process of social network evolution rather than to make predictions based on the assumption of self-organizing networks.

Evolution of Social Networks

Author : Patrick Doreian
Publisher : Routledge
ISBN 13 : 1136647325
Total Pages : 272 pages
Book Rating : 4.1/5 (366 download)

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Book Synopsis Evolution of Social Networks by : Patrick Doreian

Download or read book Evolution of Social Networks written by Patrick Doreian and published by Routledge. This book was released on 2013-02-01 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book answers the question of whether we can apply evolutionary theories to our understanding of the development of social structures. Social networks have increasingly become the focus of many social scientists as a way of analyzing these social structures. While many powerful network analytic tools have been developed and applied to a wide range of empirical phenomena, understanding the evolution of social organization still requires theories and analyses of social network evolutionary processes. Researchers from a variety of disciplines have combined their efforts in what is an indication of some very promising future research and the work represented in this volume provides a basis for a sustained analysis of the evolution of social life.

Understanding Social Networks

Author : Charles Kadushin
Publisher : Oxford University Press
ISBN 13 : 0195379462
Total Pages : 265 pages
Book Rating : 4.1/5 (953 download)

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Book Synopsis Understanding Social Networks by : Charles Kadushin

Download or read book Understanding Social Networks written by Charles Kadushin and published by Oxford University Press. This book was released on 2012-01-19 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding Social Networks explains the big ideas that underlie social networks, covering fundamental concepts then discussing networks and their core themes in increasing order of complexity.

Animal Social Networks

Author : Dr. Jens Krause
Publisher : Oxford University Press
ISBN 13 : 0199679045
Total Pages : 279 pages
Book Rating : 4.1/5 (996 download)

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Book Synopsis Animal Social Networks by : Dr. Jens Krause

Download or read book Animal Social Networks written by Dr. Jens Krause and published by Oxford University Press. This book was released on 2015 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scientific study of networks - computer, social, and biological - has received an enormous amount of interest in recent years. However, the network approach has been applied to the field of animal behaviour relatively late compared to many other biological disciplines. Understanding social network structure is of great importance for biologists since the structural characteristics of any network will affect its constituent members and influence a range of diverse behaviours. These include finding and choosing a sexual partner, developing and maintaining cooperative relationships, and engaging in foraging and anti-predator behavior. This novel text provides an overview of the insights that network analysis has provided into major biological processes, and how it has enhanced our understanding of the social organisation of several important taxonomic groups. It brings together researchers from a wide range of disciplines with the aim of providing both an overview of the power of the network approach for understanding patterns and process in animal populations, as well as outlining how current methodological constraints and challenges can be overcome. Animal Social Networks is principally aimed at graduate level students and researchers in the fields of ecology, zoology, animal behaviour, and evolutionary biology but will also be of interest to social scientists.

Temporal Network Theory

Author : Petter Holme
Publisher : Springer Nature
ISBN 13 : 3031303997
Total Pages : 486 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Temporal Network Theory by : Petter Holme

Download or read book Temporal Network Theory written by Petter Holme and published by Springer Nature. This book was released on 2023-11-20 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for epidemic modeling, optimization of transportation and logistics, as well as understanding biological phenomena. Over the past 20 years, network theory has proven to be one of the most powerful tools for studying and analyzing complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the “big data” sets. This book appeals to students, researchers, and professionals interested in theory and temporal networks—a field that has grown tremendously over the last decade. This second edition of Temporal Network Theory extends the first with three chapters highlighting recent developments in the interface with machine learning.

Social Network Analysis

Author : Mohammad Gouse Galety
Publisher : John Wiley & Sons
ISBN 13 : 1119836239
Total Pages : 260 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Social Network Analysis by : Mohammad Gouse Galety

Download or read book Social Network Analysis written by Mohammad Gouse Galety and published by John Wiley & Sons. This book was released on 2022-05-24 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: SOCIAL NETWORK ANALYSIS As social media dominates our lives in increasing intensity, the need for developers to understand the theory and applications is ongoing as well. This book serves that purpose. Social network analysis is the solicitation of network science on social networks, and social occurrences are denoted and premeditated by data on coinciding pairs as the entities of opinion. The book features: Social network analysis from a computational perspective using python to show the significance of fundamental facets of network theory and the various metrics used to measure the social network. An understanding of network analysis and motivations to model phenomena as networks. Real-world networks established with human-related data frequently display social properties, i.e., patterns in the graph from which human behavioral patterns can be analyzed and extracted. Exemplifies information cascades that spread through an underlying social network to achieve widespread adoption. Network analysis that offers an appreciation method to health systems and services to illustrate, diagnose, and analyze networks in health systems. The social web has developed a significant social and interactive data source that pays exceptional attention to social science and humanities research. The benefits of artificial intelligence enable social media platforms to meet an increasing number of users and yield the biggest marketplace, thus helping social networking analysis distribute better customer understanding and aiding marketers to target the right customers. Audience The book will interest computer scientists, AI researchers, IT and software engineers, mathematicians.

The Social Organism

Author : Oliver Luckett
Publisher : Hachette Books
ISBN 13 : 0316359548
Total Pages : 336 pages
Book Rating : 4.3/5 (163 download)

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Book Synopsis The Social Organism by : Oliver Luckett

Download or read book The Social Organism written by Oliver Luckett and published by Hachette Books. This book was released on 2016-11-15 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A must-read for business leaders and anyone who wants to understand all the implications of a social world." -- Bob Iger, Chairman and Chief Executive Officer of The Walt Disney Company From tech visionaries Oliver Luckett and Michael J. Casey, a groundbreaking, must-read theory of social media -- how it works, how it's changing human life, and how we can master it for good and for profit. In barely a decade, social media has positioned itself at the center of twenty-first century life. The combined power of platforms like Facebook, Twitter, Instagram, Snapchat, and Vine have helped topple dictators and turned anonymous teenagers into celebrities overnight. In the social media age, ideas spread and morph through shared hashtags, photos, and videos, and the most compelling and emotive ones can transform public opinion in mere days and weeks, even attitudes and priorities that had persisted for decades. How did this happen? The scope and pace of these changes have left traditional businesses -- and their old-guard marketing gatekeepers -- bewildered. We simply do not comprehend social media's form, function, and possibilities. It's time we did. In The Social Organism, Luckett and Casey offer a revolutionary theory: social networks -- to an astonishing degree--mimic the rules and functions of biological life. In sharing and replicating packets of information known as memes, the world's social media users are facilitating an evolutionary process just like the transfer of genetic information in living things. Memes are the basic building blocks of our culture, our social DNA. To master social media -- and to make online content that impacts the world -- you must start with the Social Organism. With the scope and ambition of The Second Machine Age and James Gleick's The Information, The Social Organism is an indispensable guide for business leaders, marketing professionals, and anyone serious about understanding our digital world -- a guide not just to social media, but to human life today and where it is headed next.

Understanding Large Temporal Networks and Spatial Networks

Author : Vladimir Batagelj
Publisher : John Wiley & Sons
ISBN 13 : 0470714522
Total Pages : 464 pages
Book Rating : 4.4/5 (77 download)

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Book Synopsis Understanding Large Temporal Networks and Spatial Networks by : Vladimir Batagelj

Download or read book Understanding Large Temporal Networks and Spatial Networks written by Vladimir Batagelj and published by John Wiley & Sons. This book was released on 2014-11-03 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores social mechanisms that drive network change and link them to computationally sound models of changing structure to detect patterns. This text identifies the social processes generating these networks and how networks have evolved. Reviews: "this book is easy to read and entertaining, and much can be learned from it. Even if you know just about everything about large-scale and temporal networks, the book is a worthwhile read; you will learn a lot about SNA literature, patents, the US Supreme Court, and European soccer." (Social Networks) "a clear and accessible textbook, balancing symbolic maths, code, and visual explanations. The authors’ enthusiasm for the subject matter makes it enjoyable to read" (JASSS)

Behavior and Evolutionary Dynamics in Crowd Networks

Author : Yan Chen
Publisher : Springer Nature
ISBN 13 : 9811571600
Total Pages : 148 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Behavior and Evolutionary Dynamics in Crowd Networks by : Yan Chen

Download or read book Behavior and Evolutionary Dynamics in Crowd Networks written by Yan Chen and published by Springer Nature. This book was released on 2020-07-28 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a holistic framework to study behavior and evolutionary dynamics in large-scale, decentralized, and heterogeneous crowd networks. In the emerging crowd cyber-ecosystems, millions of deeply connected individuals, smart devices, government agencies, and enterprises actively interact with each other and influence each other’s decisions. It is crucial to understand such intelligent entities’ behaviors and to study their strategic interactions in order to provide important guidelines on the design of reliable networks capable of predicting and preventing detrimental events with negative impacts on our society and economy. This book reviews the fundamental methodologies to study user interactions and evolutionary dynamics in crowd networks and discusses recent advances in this emerging interdisciplinary research field. Using information diffusion over social networks as an example, it presents a thorough investigation of the impact of user behavior on the network evolution process and demonstrates how this can help improve network performance. Intended for graduate students and researchers from various disciplines, including but not limited to, data science, networking, signal processing, complex systems, and economics, the book encourages researchers in related research fields to explore the many untouched areas in this domain, and ultimately to design crowd networks with efficient, effective, and reliable services.

Social Network Analysis for Startups

Author : Maksim Tsvetovat
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449306462
Total Pages : 191 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Social Network Analysis for Startups by : Maksim Tsvetovat

Download or read book Social Network Analysis for Startups written by Maksim Tsvetovat and published by "O'Reilly Media, Inc.". This book was released on 2011-10-06 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Encyclopedia of Social Network Analysis and Mining

Author : Reda Alhajj
Publisher : Springer
ISBN 13 : 9781493971305
Total Pages : 0 pages
Book Rating : 4.9/5 (713 download)

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Book Synopsis Encyclopedia of Social Network Analysis and Mining by : Reda Alhajj

Download or read book Encyclopedia of Social Network Analysis and Mining written by Reda Alhajj and published by Springer. This book was released on 2018-05-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Encyclopedia of Social Network Analysis and Mining (ESNAM) is the first major reference work to integrate fundamental concepts and research directions in the areas of social networks and applications to data mining. The second edition of ESNAM is a truly outstanding reference appealing to researchers, practitioners, instructors and students (both undergraduate and graduate), as well as the general public. This updated reference integrates all basics concepts and research efforts under one umbrella. Coverage has been expanded to include new emerging topics such as crowdsourcing, opinion mining, and sentiment analysis. Revised content of existing material keeps the encyclopedia current. The second edition is intended for college students as well as public and academic libraries. It is anticipated to continue to stimulate more awareness of social network applications and research efforts. The advent of electronic communication, and in particular on-line communities, have created social networks of hitherto unimaginable sizes. Reflecting the interdisciplinary nature of this unique field, the essential contributions of diverse disciplines, from computer science, mathematics, and statistics to sociology and behavioral science, are described among the 300 authoritative yet highly readable entries. Students will find a world of information and insight behind the familiar façade of the social networks in which they participate. Researchers and practitioners will benefit from a comprehensive perspective on the methodologies for analysis of constructed networks, and the data mining and machine learning techniques that have proved attractive for sophisticated knowledge discovery in complex applications. Also addressed is the application of social network methodologies to other domains, such as web networks and biological networks.

Social Network Analysis - Community Detection and Evolution

Author : Rokia Missaoui
Publisher : Springer
ISBN 13 : 331912188X
Total Pages : 282 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Social Network Analysis - Community Detection and Evolution by : Rokia Missaoui

Download or read book Social Network Analysis - Community Detection and Evolution written by Rokia Missaoui and published by Springer. This book was released on 2015-01-13 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis.

Social Network Analysis and Education

Author : Brian V. Carolan
Publisher : SAGE Publications
ISBN 13 : 1483303519
Total Pages : 345 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Social Network Analysis and Education by : Brian V. Carolan

Download or read book Social Network Analysis and Education written by Brian V. Carolan and published by SAGE Publications. This book was released on 2013-03-14 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Network Analysis and Education: Theory, Methods & Applications provides an introduction to the theories, methods, and applications that constitute the social network perspective. Unlike more general texts, this applied title is designed for those current and aspiring educational researchers learning how to study, conceptualize, and analyze social networks. Brian V. Carolan's main intent is to encourage you to consider the social network perspective in light of your emerging research interests and evaluate how well this perspective illuminates the social complexities surrounding educational phenomena. Relying on diverse examples drawn from the educational research literature, this book makes explicit how the theories and methods associated with social network analysis can be used to better describe and explain the social complexities surrounding varied educational phenomena.

Social and Economic Networks

Author : Matthew O. Jackson
Publisher : Princeton University Press
ISBN 13 : 140083399X
Total Pages : 519 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Social and Economic Networks by : Matthew O. Jackson

Download or read book Social and Economic Networks written by Matthew O. Jackson and published by Princeton University Press. This book was released on 2010-11-01 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Opinion Dynamics and the Evolution of Social Power in Social Networks

Author : Mengbin Ye
Publisher : Springer
ISBN 13 : 3030106063
Total Pages : 209 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Opinion Dynamics and the Evolution of Social Power in Social Networks by : Mengbin Ye

Download or read book Opinion Dynamics and the Evolution of Social Power in Social Networks written by Mengbin Ye and published by Springer. This book was released on 2019-02-19 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uses rigorous mathematical analysis to advance opinion dynamics models for social networks in three major directions. First, a novel model is proposed to capture how a discrepancy between an individual’s private and expressed opinions can develop due to social pressures that arise in group situations or through extremists deliberately shaping public opinion. Detailed theoretical analysis of the final opinion distribution is followed by use of the model to study Asch’s seminal experiments on conformity, and the phenomenon of pluralistic ignorance. Second, the DeGroot-Friedkin model for evolution of an individual’s social power (self-confidence) is developed in a number of directions. The key result establishes that an individual’s initial social power is forgotten exponentially fast, even when the network changes over time; eventually, an individual’s social power depends only on the (changing) network structure. Last, a model for the simultaneous discussion of multiple logically interdependent topics is proposed. To ensure that a consensus across the opinions of all individuals is achieved, it turns out that the interpersonal interactions must be weaker than an individual’s introspective cognitive process for establishing logical consistency among the topics. Otherwise, the individual may experience cognitive overload and the opinion system becomes unstable. Conclusions of interest to control engineers, social scientists, and researchers from other relevant disciplines are discussed throughout the thesis with support from both social science and control literature.

The Oxford Handbook of Social Networks

Author : Ryan Light
Publisher : Oxford University Press
ISBN 13 : 0190251778
Total Pages : 768 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis The Oxford Handbook of Social Networks by : Ryan Light

Download or read book The Oxford Handbook of Social Networks written by Ryan Light and published by Oxford University Press. This book was released on 2020-11-20 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: While some social scientists may argue that we have always been networked, the increased visibility of networks today across economic, political, and social domains can hardly be disputed. Social networks fundamentally shape our lives and social network analysis has become a vibrant, interdisciplinary field of research. In The Oxford Handbook of Social Networks, Ryan Light and James Moody have gathered forty leading scholars in sociology, archaeology, economics, statistics, and information science, among others, to provide an overview of the theory, methods, and contributions in the field of social networks. Each of the thirty-three chapters in this Handbook moves through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. They cover both a succinct background to, and future directions for, distinctive approaches to analyzing social networks. The first section of the volume consists of theoretical and methodological approaches to social networks, such as visualization and network analysis, statistical approaches to networks, and network dynamics. Chapters in the second section outline how network perspectives have contributed substantively across numerous fields, including public health, political analysis, and organizational studies. Despite the rapid spread of interest in social network analysis, few volumes capture the state-of-the-art theory, methods, and substantive contributions featured in this volume. This Handbook therefore offers a valuable resource for graduate students and faculty new to networks looking to learn new approaches, scholars interested in an overview of the field, and network analysts looking to expand their skills or substantive areas of research.

Evolution of Social Networks

Author : Patrick Doreian
Publisher : Routledge
ISBN 13 : 1136647252
Total Pages : 271 pages
Book Rating : 4.1/5 (366 download)

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Book Synopsis Evolution of Social Networks by : Patrick Doreian

Download or read book Evolution of Social Networks written by Patrick Doreian and published by Routledge. This book was released on 2013-02-01 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book answers the question of whether we can apply evolutionary theories to our understanding of the development of social structures. Social networks have increasingly become the focus of many social scientists as a way of analyzing these social structures. While many powerful network analytic tools have been developed and applied to a wide range of empirical phenomena, understanding the evolution of social organization still requires theories and analyses of social network evolutionary processes. Researchers from a variety of disciplines have combined their efforts in what is an indication of some very promising future research and the work represented in this volume provides a basis for a sustained analysis of the evolution of social life.