Trends in Social Network Analysis

Trends in Social Network Analysis Author : Rokia Missaoui
Release : 2017-04-29
Publisher : Springer
ISBN : 3319534203
File Size : 62.73 MB
Format : PDF, Docs
Download : 655
Read : 462

The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field.

Computational Social Network Analysis

Computational Social Network Analysis Author : Ajith Abraham
Release : 2009-12-10
Publisher : Springer Science & Business Media
ISBN : 9781848822290
File Size : 73.87 MB
Format : PDF, ePub, Mobi
Download : 585
Read : 850

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.

Recent Trends in Analysis of Images, Social Networks and Texts

Recent Trends in Analysis of Images, Social Networks and Texts Author : Wil M. P. van der Aalst
Release : 2021-03-25
Publisher : Springer
ISBN : 9783030712136
File Size : 38.3 MB
Format : PDF, ePub
Download : 280
Read : 1147

This book constitutes revised selected papers of the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held in Moscow, Russia, in october 2020. Due to the COVID-19 pandemic the conference was held online. The 14 full papers, 9 short papers and 4 poster papers were carefully reviewed and selected from 108 qualified submissions. The papers are organized in topical sections on ​natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; process mining; posters.

Computational Social Network Analysis

Computational Social Network Analysis Author : Ajith Abraham
Release : 2009-12-22
Publisher : Springer
ISBN : 9781848822283
File Size : 32.84 MB
Format : PDF, Docs
Download : 184
Read : 461

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.

Social Network Analysis Using R.

Social Network Analysis Using R. Author :
Release : 2017
Publisher :
ISBN :
File Size : 52.12 MB
Format : PDF, Docs
Download : 778
Read : 595

Examine the relationships and trends among social networks in new and exciting ways. Learn how to perform social network analysis with R.

Social Network Analysis for Startups

Social Network Analysis for Startups Author : Maksim Tsvetovat
Release : 2011-09-27
Publisher : "O'Reilly Media, Inc."
ISBN : 1449317626
File Size : 83.25 MB
Format : PDF, ePub
Download : 824
Read : 765

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

Social Network Mining, Analysis, and Research Trends: Techniques and Applications

Social Network Mining, Analysis, and Research Trends: Techniques and Applications Author : Ting, I-Hsien
Release : 2011-12-31
Publisher : IGI Global
ISBN : 1613505140
File Size : 63.78 MB
Format : PDF, ePub, Docs
Download : 791
Read : 1110

"This book covers current research trends in the area of social networks analysis and mining, sharing research from experts in the social network analysis and mining communities, as well as practitioners from social science, business, and computer science"--Provided by publisher.

Online Social Networks

Online Social Networks Author : Valerio Arnaboldi
Release : 2015-09-25
Publisher : Elsevier
ISBN : 0128030429
File Size : 79.36 MB
Format : PDF, ePub, Docs
Download : 195
Read : 763

Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior. As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis, the text discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties. Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments. Provides an analysis of the structural properties of ego networks in online social networks Presents quantitative evidence of the Dunbar’s number in online environments Discusses original structural and dynamic properties of human social network through OSN analysis

Challenges in Social Network Research

Challenges in Social Network Research Author : Giancarlo Ragozini
Release : 2019-12-06
Publisher : Springer Nature
ISBN : 3030314634
File Size : 60.87 MB
Format : PDF, Mobi
Download : 436
Read : 1257

The book includes both invited and contributed chapters dealing with advanced methods and theoretical development for the analysis of social networks and applications in numerous disciplines. Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis. Along with the new methodological developments, the book offers interesting applications to a wide set of fields, ranging from the organizational and economic studies, collaboration and innovation, to the less usual field of poetry. In addition, the case studies are related to local context, showing how the substantive reasoning is fundamental in social network analysis. The list of authors includes both top scholars in the field of social networks and promising young researchers. All chapters passed a double blind review process followed by the guest editors. This edited volume will appeal to students, researchers and professionals.

Computational Social Network Analysis

Computational Social Network Analysis Author : Kai Subel
Release : 2010-10-25
Publisher : GRIN Verlag
ISBN : 3640733061
File Size : 32.54 MB
Format : PDF, Docs
Download : 720
Read : 1310

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.

Applied Social Network Analysis With R: Emerging Research and Opportunities

Applied Social Network Analysis With R: Emerging Research and Opportunities Author : Gençer, Mehmet
Release : 2020-02-07
Publisher : IGI Global
ISBN : 1799819140
File Size : 52.15 MB
Format : PDF, Docs
Download : 835
Read : 663

Understanding the social relations within the fields of business and economics is vital for the promotion of success within a certain organization. Analytics and statistics have taken a prominent role in marketing and management practices as professionals are constantly searching for a competitive advantage. Converging these technological tools with traditional methods of business relations is a trending area of research. Applied Social Network Analysis With R: Emerging Research and Opportunities is an essential reference source that materializes and analyzes the issue of structure in terms of its effects on human societies and the state of the individuals in these communities. Even though the theme of the book is business-oriented, an approach underlining and strengthening the ties of this field of study with social sciences for further development is adopted throughout. Therefore, the knowledge presented is valid for analyzing not only the organization of the business world but also for the organization of any given community. Featuring research on topics such as network visualization, graph theory, and micro-dynamics, this book is ideally designed for researchers, practitioners, business professionals, managers, programmers, academicians, and students seeking coverage on analyzing social and business networks using modern methods of statistics, programming, and data sets.

Social Networking

Social Networking Author : Xin Ming Tu
Release : 2013-01-01
Publisher : Nova Science Pub Incorporated
ISBN : 9781628085297
File Size : 88.49 MB
Format : PDF, Docs
Download : 606
Read : 389

Social networking focuses on social relationships (e.g., friendships) diagrammed as nodes (points) and links (ties or edges between points). Social network analysis (SNA) examines features of such relationships within a social networking system, including how such social interactions change over time. SNA can measure and map "connectedness" or "flow" (e.g., information, resources, etc.) within and across individuals, groups, and organizations. SNA can examine these ties in virtual- or geo-temporal spaces - yielding rich mixed methods possibilities and wide application to a host of scientific phenomena. The advent of social media established a cultural meme that carries social network concepts to broader public audiences, and that reinforces SNA's path to be a powerful interdisciplinary approach. Google Ngram viewer shows the use of "social network analysis" in the corpus of books burgeoned in the late 1960s, and has continued to grow exponentially since the 1990s. The conceptual and methodological reach now extends both widely - across scientific disciplines - and deeply -- as field advances arise with the rapid pace of new inquiries. Facing this tremendous promulgation and diversification of SNA, this book distills essential frontiers across fields. Introducing emerging issues in the application of social network theory and SNA, and how these can or will be addressed, each chapter illuminates new trends or applications of a social network approach that can have wide potential impact in other disciplines. Conceptual advances (e.g., applying the concepts of social networks such as peer influence on disease management and treatment adherence), as well as novel analytic approaches for studying properties of social networks are highlighted.

Challenges in Social Network Research

Challenges in Social Network Research Author : Giancarlo Ragozini
Release : 2020-08-14
Publisher : Springer
ISBN : 9783030314651
File Size : 58.31 MB
Format : PDF, ePub, Mobi
Download : 812
Read : 557

The book includes both invited and contributed chapters dealing with advanced methods and theoretical development for the analysis of social networks and applications in numerous disciplines. Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis. Along with the new methodological developments, the book offers interesting applications to a wide set of fields, ranging from the organizational and economic studies, collaboration and innovation, to the less usual field of poetry. In addition, the case studies are related to local context, showing how the substantive reasoning is fundamental in social network analysis. The list of authors includes both top scholars in the field of social networks and promising young researchers. All chapters passed a double blind review process followed by the guest editors. This edited volume will appeal to students, researchers and professionals.

Social Network Analysis

Social Network Analysis Author : Xiaoming Fu
Release : 2017-03-31
Publisher : CRC Press
ISBN : 1498736688
File Size : 88.19 MB
Format : PDF, Docs
Download : 391
Read : 624

The book addresses the issue of interdisciplinary understanding of collaboration on the topic of social network studies. Researchers and practitioners from various disciplines including sociology, computer science, socio-psychology, public health, complex systems, and management science have worked largely independently, each with quite different principles, terminologies, theories. and methodologies. The book aims to fill the gap among these disciplines with a number of the latest interdisciplinary collaboration studies.

From Social Data Mining and Analysis to Prediction and Community Detection

From Social Data Mining and Analysis to Prediction and Community Detection Author : Mehmet Kaya
Release : 2017-03-21
Publisher : Springer
ISBN : 3319513672
File Size : 37.56 MB
Format : PDF, ePub, Docs
Download : 578
Read : 870

This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context of online social networks, it focuses on important and upcoming topics of social network analysis and mining such as the latest in sentiment trends research and a variety of techniques for community detection and analysis. The book collects chapters that are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2015), which was held in Paris, France in August 2015. All papers have been peer reviewed and checked carefully for overlap with the literature. The book will appeal to students and researchers in social network analysis/mining and machine learning.

Computational Social Network Analysis

Computational Social Network Analysis Author : Ajith Abraham
Release : 2010-04-29
Publisher : Springer
ISBN : 9781848822368
File Size : 60.70 MB
Format : PDF, ePub
Download : 312
Read : 418

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.

Recent Trends in Social and Behaviour Sciences

Recent Trends in Social and Behaviour Sciences Author : Ford Lumban Gaol
Release : 2014-02-27
Publisher : CRC Press
ISBN : 1315775530
File Size : 74.80 MB
Format : PDF, Kindle
Download : 634
Read : 900

The human aspect plays an important role in the social sciences. The behaviour of people has become a vital area of focus in the social sciences as well. Recent Trends in Social and Behaviour Sciences contains papers that were originally presented at the International Congress on Interdisciplinary Behavior and Social Sciences, held 4-5 November 201

Data Mining for Social Network Data

Data Mining for Social Network Data Author : Nasrullah Memon
Release : 2010-06-10
Publisher : Springer Science & Business Media
ISBN : 9781441962874
File Size : 74.15 MB
Format : PDF, ePub
Download : 192
Read : 1091

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range of recent studies in social networking analysis. It will focus on emerging trends and needs in discovery and analysis of communities, solitary and social activities, activities in open for a and commercial sites as well. It will also look at network modeling, infrastructure construction, dynamic growth and evolution pattern discovery using machine learning approaches and multi-agent based simulations. Editors are three rising stars in world of data mining, knowledge discovery, social network analysis, and information infrastructures, and are anchored by Springer author/editor Hsinchun Chen (Terrorism Informatics; Medical Informatics; Digital Government), who is one of the most prominent intelligence analysis and data mining experts in the world.

Developing Churn Models Using Data Mining Techniques and Social Network Analysis

Developing Churn Models Using Data Mining Techniques and Social Network Analysis Author : Klepac, Goran
Release : 2014-07-31
Publisher : IGI Global
ISBN : 1466662891
File Size : 87.33 MB
Format : PDF, ePub, Docs
Download : 914
Read : 389

"This book provides an in-depth analysis of attrition modeling relevant to business planning and management, offering insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytic tools"--Provided by publisher.