Advances in Social Network Analysis

Research in the Social and Behavioral Sciences

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Author: Stanley Wasserman

Publisher: SAGE

ISBN: 9780803943032

Category: Social Science

Page: 299

View: 1020

In this book, leading methodologists address the issue of how effectively to apply the latest developments in social network analysis to behavioural and social science disciplines. Topics examined include: ways to specify the network contents to be studied; how to select the method for representing network structures; how social network analysis has been used to study interorganizational relations via the resource dependence model; how to use a contact matrix for studying the spread of disease in epidemiology; and how cohesion and structural equivalence network theories relate to studying social influence. The book also offers some statistical models for social support networks.

Advances in Social Network Mining and Analysis

Second International Workshop, SNAKDD 2008, Las Vegas, NV, USA, August 24-27, 2008. Revised Selected Papers

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Author: C. Lee Giles

Publisher: Springer Science & Business Media

ISBN: 3642149286

Category: Computers

Page: 131

View: 9497

This work constitutes the proceedings of the Second International Workshop on Advances in Social Network and Analysis, held in Las Vegas, NV, USA in August 2008.

Models and Methods in Social Network Analysis

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Author: Peter J. Carrington,John Scott,Stanley Wasserman

Publisher: Cambridge University Press

ISBN: 9781139443432

Category: Social Science

Page: N.A

View: 7942

Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Computational Social Network Analysis

Trends, Tools and Research Advances

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Author: Kai Subel,Michel Schultz

Publisher: GRIN Verlag

ISBN: 3640733061

Category: Computers

Page: 21

View: 5743

Studienarbeit aus dem Jahr 2010 im Fachbereich Informatik - Internet, neue Technologien, Universität Hamburg, Sprache: Deutsch, Abstract: Diese Ausarbeitung befasst sich mit dem Thema Computational Soical Network Analysis. Ziel ist es, dem Leser einen Einblick in diese Thematik zu verschaffen. Dabei werden Hintergründe, anwendbare Methoden und Tools vorgestellt, die hierbei Verwendung finden. Zunächst wird dabei näher auf den Hintergrund, also warum dieses Gebiet als Forschungsgegenstand so interessant ist, eingegangen. Anschließend werden verschiedene Aspekte, die man im Rahmen der Analyse sozialer Netzwerke untersuchen kann benannt. In diesem Zusammenhang werden auch zwei verschiedene Kategorien zur formalen Analyse benannt. Zur Verdeutlichung wird die Verwendung dieser am Ende des Kapitels auch noch einmal anhand eines Praxisbeispiels gezeigt. Das nächste Kapitel befasst sich mit der Fragstellung, wie Schlüsselfiguren in Netzwerken ermittelt werden können und was für Rollen diese spielen. Dabei werden auch die verschiedenen Arten von Schlüsselfiguren benannt. Eine weitere zentrale Rolle in der Analyse sozialer Netzwerke nehmen Gruppen ein. Die Bedeutung von Gruppen und wie man sie ermitteln kann wird im nächsten Kapitel erläutert. Aufbauend auf den Gruppen sollen Interaktionen innerhalb von Netzwerken untersucht werden. Hierfür werden zunächst die nötigen Werkzeuge, wie die SCAN oder DISSECT Methode vorgestellt und anschließend die Einsatzgebiete anhand von Beispielen verdeutlicht. Im 7. Kapitel wird eine eLearning Plattform näher betrachtet. Hierbei werden zunächst die Eigenschaften und Besonderheiten von eLearning Plattformen beschrieben und anschießend anhand eines Praxisbeispiels verschiedene Methoden zur Analyse sozialer Netzwerke angewendet.

Advances in Social Computing

Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, Bethesda, MD, USA, March 30-31, 2010, Proceedings

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Author: Sun-Ki Chai,John Salerno,Patricia L. Mabry

Publisher: Springer Science & Business Media

ISBN: 3642120784

Category: Business & Economics

Page: 426

View: 2941

This book constitutes the refereed proceedings of the Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, held in Bethseda, MD, USA, in March 2010. The 26 revised full papers and 23 revised poster papers presented together with 4 invited and keynote papers were carefully reviewed and selected from 78 initial submissions. The papers cover a wide range of interesting topics such as social network analysis, modeling, machine learning and data mining, social behaviors, public health, cultural aspects, effects and search.

Advances in Network Analysis and its Applications

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Author: Evangelos Kranakis

Publisher: Springer Science & Business Media

ISBN: 3642309038

Category: Mathematics

Page: 412

View: 5778

As well as highlighting potentially useful applications for network analysis, this volume identifies new targets for mathematical research that promise to provide insights into network systems theory as well as facilitating the cross-fertilization of ideas between sectors. Focusing on financial, security and social aspects of networking, the volume adds to the growing body of evidence showing that network analysis has applications to transportation, communication, health, finance, and social policy more broadly. It provides powerful models for understanding the behavior of complex systems that, in turn, will impact numerous cutting-edge sectors in science and engineering, such as wireless communication, network security, distributed computing and social networking, financial analysis, and cyber warfare. The volume offers an insider’s view of cutting-edge research in network systems, including methodologies with immense potential for interdisciplinary application. The contributors have all presented material at a series of workshops organized on behalf of Canada’s MITACS initiative, which funds projects and study grants in ‘mathematics for information technology and complex systems’. These proceedings include papers from workshops on financial networks, network security and cryptography, and social networks. MITACS has shown that the partly ghettoized nature of network systems research has led to duplicated work in discrete fields, and thus this initiative has the potential to save time and accelerate the pace of research in a number of areas of network systems research.

Advances in Service Network Analysis

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Author: Noel Scott,Eric Laws

Publisher: Routledge

ISBN: 1317995570

Category: Business & Economics

Page: 202

View: 2040

Advances in Service Network Analysis examines advances in the management and analysis of networks of organizations in service industries. In recent years recognition of the significance of inter-organizational networks for the provision of complex services, for example at tourist destinations, has stimulated discussion of numerous issues of theoretical and practical significance. These topics include governance, collaboration and partnerships between organizations of varying scale, sophistication and expertise, concern about leadership and trust in the management of service networks, and their overall contribution to social capital development in regions, sectors and in emergent economies. This book was originally published as a special issue of The Service Industries Journal.

Computational Social Network Analysis

Trends, Tools and Research Advances

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Author: Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel

Publisher: Springer

ISBN: 9781447125327

Category: Computers

Page: 485

View: 2848

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.

Advances in Research on Illicit Networks

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Author: Martin Bouchard

Publisher: Routledge

ISBN: 1317579763

Category: Social Science

Page: 208

View: 7171

Social network analysis finally reached a critical mass of scholars in the field of criminology. The proven track record of network theory and methods in fostering new advances in our understanding of crimes and criminals has extended the web of researchers willing to integrate this approach to their work. It is more than just a fad – once you adopt a network approach, it almost inevitably becomes the main lens through which you see crime. The insights learned from analysing matrices of relations among offenders, from exploiting the interdependence among actors instead of finding ways to avoid it are simply too great to ignore. This book provides a state of the art assessment into network research currently being conducted in criminology and beyond, pushing the field further in multiple ways. A series of contributions tackle themes and offending types that had yet to be previously empirically investigated, including political conspiracies, steroid distribution, methamphetamine production, illicit marketplaces on the Internet, and small arms trafficking. Advances are also found in the data sources used to extract illicit networks, and the methods used to analyse them. This book was originally published as a special issue of Global Crime.

Social Media Mining and Social Network Analysis: Emerging Research

Emerging Research

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Author: Xu, Guandong

Publisher: IGI Global

ISBN: 1466628073

Category: Computers

Page: 347

View: 1456

Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organization science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.

Einführung in die Netzwerkanalyse

Grundlagen, Methoden, Forschungsbeispiele

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Author: Dorothea Jansen

Publisher: Springer-Verlag

ISBN: 3663098753

Category: Social Science

Page: 302

View: 7864

Das in zweiter Auflage erscheinende Lehrbuch vermittelt dem Leser die Grundlagen und Methoden der Netzwerkanalyse. Die statistischen Instrumente zur Erhebung und Analyse von Netzwerkdaten werden vorgestellt und in den Bereichen der Policy- und Eliteforschung, der Organisationsforschung und der Forschung sozialer Ungleichheit demonstriert. Neben der Darstellung des statistischen Instrumentariums wird die Netzwerkanalyse als Theorieperspektive vorgestellt, mit der sich Aussagen über die Handlungsmöglichkeit von Akteuren mit Theorien über Institutionen, Strukturen und Systeme verbinden lassen.

Advances in Web Mining and Web Usage Analysis

9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007, Revised Papers

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Author: Haizheng Zhang,Myra Spiliopoulou,Bamshad Mobasher

Publisher: Springer Science & Business Media

ISBN: 3642005276

Category: Computers

Page: 155

View: 4521

This book constitutes the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Mining Web Data, WEBKDD 2007, and the 1st International Workshop on Social Network Analysis, SNA-KDD 2007, jointly held in St. Jose, CA, USA in August 2007 in conjunction with the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2007. The 8 revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were carefully selected from 23 initial submisssions. The enhanced papers address all current issues in Web mining and social network analysis, including traditional Web and semantic Web applications, the emerging applications of the Web as a social medium, as well as social network modeling and analysis.

Exploratory Social Network Analysis with Pajek

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Author: Wouter de Nooy,Andrej Mrvar,Vladimir Batagelj

Publisher: Cambridge University Press

ISBN: 1139501089

Category: Social Science

Page: N.A

View: 547

An extensively revised and expanded second edition of the successful textbook on social network analysis integrating theory, applications and network analysis using Pajek. The main structural concepts and their applications in social research are introduced with exercises. Pajek software and data sets are available so readers can learn network analysis through application and case studies. Readers will have the knowledge, skill and tools to apply social network analysis across the social sciences, from anthropology and sociology to business administration and history. This second edition has a new chapter on random network models, for example, scale-free and small-world networks and Monte Carlo simulation; discussion of multiple relations, islands and matrix multiplication; new structural indices such as eigenvector centrality, degree distribution and clustering coefficients; new visualization options that include circular layout for partitions and drawing a network geographically as a 3D surface; and using Unicode labels.

State of the Art Applications of Social Network Analysis

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Author: Fazli Can,Tansel Özyer,Faruk Polat

Publisher: Springer

ISBN: 3319059122

Category: Computers

Page: 372

View: 3239

Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often requires entirely different approaches for analysis including; graph theory, statistics, machine learning and data mining. This work covers frontier studies on social network analysis and mining from different perspectives such as social network sites, financial data, e-mails, forums, academic research funds, XML technology, blog content, community detection and clique finding, prediction of user’s- behavior, privacy in social network analysis, mobility from spatio-temporal point of view, agent technology and political parties in parliament. These topics will be of interest to researchers and practitioners from different disciplines including, but not limited to, social sciences and engineering.

Resonanz in der pluralen Gesellschaft: Netzwerke im systemtheoretischen Kontext

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Author: Pia-Johanna Schweizer

Publisher: BoD – Books on Demand

ISBN: 3867417474

Category:

Page: 172

View: 2984

Ein wichtiges Merkmal moderner demokratischer Gesellschaften ist deren Pluralit t. Dabei ist von Bedeutung, wie der Staat die pluralen Interessen weitestgehend zur Entfaltung kommen lassen kann. Es sollte also eine m glichst gro e bereinstimmung zwischen politischen Entscheidungen und gesellschaftlichen Desideraten gegeben sein, um demokratietheoretischen Anforderungen gerecht zu werden. "Resonanz in der pluralen Gesellschaft: Netzwerke im systemtheoretischen Kontext" behandelt die Themen Selbstorganisation, politische Steuerung, netzwerkartige Organisation der Gesellschaft und systemische Kommunikation. Die Aufs tze setzen sich folglich mit den Fragen der M glichkeit gesellschaftspolitischer Gestaltung durch den Staat, der Strukturanalogie von Netzwerk- und Autopoiese-Theorien sowie der Generierung gesellschaftlich relevanter Innovation durch Governance im Politikfeld Arbeitslosigkeit auseinander. Am Beispiel Bildung wird zudem aufgezeigt, wie auch hier die netzwerkartige Selbstorganisation der Akteure eine optimale Kommunikation und gute Ergebnisse erzielen - eine Einsicht, die durch empirische Ergebnisse gest tzt wird. Ebenso werden schlie lich die ideengeschichtlichen Wurzeln der Autopoiese-Theorien offen gelegt. Dr. Pia-Johanna Schweizer ist wissenschaftliche Angestellte am Interdisziplin ren Forschungsschwerpunkt Risiko und Nachhaltige Technikentwicklung (ZIRN) der Universit t Stuttgart. Dr. Stefan Schweizer ist Studienrat und Lehrbeauftragter f r Geschichte und Gemeinschaftskunde am Staatlichen Seminar f r Didaktik und Lehrerbildung (Berufliche Schulen) Stuttgart.

Social Network Analysis - Community Detection and Evolution

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Author: Rokia Missaoui,Idrissa Sarr

Publisher: Springer

ISBN: 331912188X

Category: Computers

Page: 272

View: 4690

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.

The Influence of Technology on Social Network Analysis and Mining

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Author: Tansel Özyer,Jon Rokne,Gerhard Wagner,Arno H.P. Reuser

Publisher: Springer Science & Business Media

ISBN: 3709113466

Category: Computers

Page: 643

View: 9168

The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social Web sites, email logs, phone logs and instant messaging systems, which are widely analyzed using graph theory and machine learning techniques. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of SNAM in academia, politics, homeland security and business. This follows the pattern of known entities of our society that have evolved into networks in which actors are increasingly dependent on their structural embedding General areas of interest to the book include information science and mathematics, communication studies, business and organizational studies, sociology, psychology, anthropology, applied linguistics, biology and medicine.

Network Intelligence Meets User Centered Social Media Networks

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Author: Reda Alhajj,H. Ulrich Hoppe,Tobias Hecking,Piotr Bródka,Przemyslaw Kazienko

Publisher: Springer

ISBN: 9783319903118

Category: Social Science

Page: 247

View: 3777

This edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. It contains the best papers of notable scientists from the 4th European Network Intelligence Conference (ENIC 2017) that have been peer reviewed and expanded into the present format. The aim of this text is to share knowledge and experience as well as to present recent advances in the field. The book is a nice mix of basic research topics such as data-based centrality measures along with intriguing applied topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis.

Recommendation and Search in Social Networks

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Author: Özgür Ulusoy,Abdullah Uz Tansel,Erol Arkun

Publisher: Springer

ISBN: 3319143794

Category: Computers

Page: 289

View: 7570

This edited volume offers a clear in-depth overview of research covering a variety of issues in social search and recommendation systems. Within the broader context of social network analysis it focuses on important and up-coming topics such as real-time event data collection, frequent-sharing pattern mining, improvement of computer-mediated communication, social tagging information, search system personalization, new detection mechanisms for the identification of online user groups, and many more. The twelve contributed chapters are extended versions of conference papers as well as completely new invited chapters in the field of social search and recommendation systems. This first-of-its kind survey of current methods will be of interest to researchers from both academia and industry working in the field of social networks.