Computational Social Network Analysis

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Computational Social Network Analysis

Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel
Computational Social Network Analysis Book PDF

Author : Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel
Publisher : Springer
Page : 0 pages
File Size : 44,5 Mb
Release : 2012-03-01
Category : Computers
ISBN : 1447125320

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Computational Social Network Analysis by Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel Pdf

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.

Computational Social Networks

Ajith Abraham,Aboul-Ella Hassanien
Computational Social Networks Book PDF

Author : Ajith Abraham,Aboul-Ella Hassanien
Publisher : Springer Science & Business Media
Page : 474 pages
File Size : 49,7 Mb
Release : 2012-06-28
Category : Computers
ISBN : 9781447140481

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Computational Social Networks by Ajith Abraham,Aboul-Ella Hassanien Pdf

This book is the first of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on practical tools, applications, and open avenues for further research (the other two volumes review issues of Security and Privacy, and Mining and Visualization in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage by applying these ideas in real-world scenarios; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, the representation and analysis of social networks, and the use of semantic networks in knowledge discovery and visualization; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.

Social Network Analytics

Nilanjan Dey,Samarjeet Borah,Rosalina Babo,Amira S. Ashour
Social Network Analytics Book PDF

Author : Nilanjan Dey,Samarjeet Borah,Rosalina Babo,Amira S. Ashour
Publisher : Academic Press
Page : 267 pages
File Size : 53,7 Mb
Release : 2018-11-16
Category : Computers
ISBN : 9780128156414

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Social Network Analytics by Nilanjan Dey,Samarjeet Borah,Rosalina Babo,Amira S. Ashour Pdf

Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more. Examines a variety of data analytic techniques that can be applied to social networks Discusses various methods of visualizing, modeling and tracking network patterns, organization, growth and change Covers the most recent research on social network analysis and includes applications to a number of domains

Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

Nitin Agarwal,Nima Dokoohaki,Serpil Tokdemir
Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining Book PDF

Author : Nitin Agarwal,Nima Dokoohaki,Serpil Tokdemir
Publisher : Springer
Page : 0 pages
File Size : 50,8 Mb
Release : 2018-12-13
Category : Social Science
ISBN : 3030067971

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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining by Nitin Agarwal,Nima Dokoohaki,Serpil Tokdemir Pdf

The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.

Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

Nitin Agarwal,Nima Dokoohaki,Serpil Tokdemir
Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining Book PDF

Author : Nitin Agarwal,Nima Dokoohaki,Serpil Tokdemir
Publisher : Springer
Page : 278 pages
File Size : 43,5 Mb
Release : 2018-09-17
Category : Social Science
ISBN : 9783319941059

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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining by Nitin Agarwal,Nima Dokoohaki,Serpil Tokdemir Pdf

The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.

Practical Social Network Analysis with Python

Krishna Raj P.M.,Ankith Mohan,K.G. Srinivasa
Practical Social Network Analysis with Python Book PDF

Author : Krishna Raj P.M.,Ankith Mohan,K.G. Srinivasa
Publisher : Springer
Page : 329 pages
File Size : 45,8 Mb
Release : 2018-08-25
Category : Computers
ISBN : 9783319967462

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Practical Social Network Analysis with Python by Krishna Raj P.M.,Ankith Mohan,K.G. Srinivasa Pdf

This book focuses on social network analysis from a computational perspective, introducing readers to the fundamental aspects of network theory by discussing the various metrics used to measure the social network. It covers different forms of graphs and their analysis using techniques like filtering, clustering and rule mining, as well as important theories like small world phenomenon. It also presents methods for identifying influential nodes in the network and information dissemination models. Further, it uses examples to explain the tools for visualising large-scale networks, and explores emerging topics like big data and deep learning in the context of social network analysis. With the Internet becoming part of our everyday lives, social networking tools are used as the primary means of communication. And as the volume and speed of such data is increasing rapidly, there is a need to apply computational techniques to interpret and understand it. Moreover, relationships in molecular structures, co-authors in scientific journals, and developers in a software community can also be understood better by visualising them as networks. This book brings together the theory and practice of social network analysis and includes mathematical concepts, computational techniques and examples from the real world to offer readers an overview of this domain.

Computational Social Network Analysis

Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel
Computational Social Network Analysis Book PDF

Author : Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel
Publisher : Springer Science & Business Media
Page : 487 pages
File Size : 48,6 Mb
Release : 2009-12-10
Category : Computers
ISBN : 9781848822290

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Computational Social Network Analysis by Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel Pdf

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

Mohammad Gouse Galety,Chiai Al Atroshi,Buni Balabantaray,Sachi Nandan Mohanty
Social Network Analysis Book PDF

Author : Mohammad Gouse Galety,Chiai Al Atroshi,Buni Balabantaray,Sachi Nandan Mohanty
Publisher : John Wiley & Sons
Page : 260 pages
File Size : 43,7 Mb
Release : 2022-05-24
Category : Technology & Engineering
ISBN : 9781119836230

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Social Network Analysis by Mohammad Gouse Galety,Chiai Al Atroshi,Buni Balabantaray,Sachi Nandan Mohanty Pdf

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.

Computational Social Network Analysis

Kai Subel,Michel Schultz
Computational Social Network Analysis Book PDF

Author : Kai Subel,Michel Schultz
Publisher : GRIN Verlag
Page : 27 pages
File Size : 44,9 Mb
Release : 2010-10-25
Category : Computers
ISBN : 9783640733064

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Computational Social Network Analysis by Kai Subel,Michel Schultz Pdf

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.

The Oxford Handbook of Social Networks

Ryan Light,James Moody
The Oxford Handbook of Social Networks Book PDF

Author : Ryan Light,James Moody
Publisher : Oxford University Press, USA
Page : 697 pages
File Size : 46,6 Mb
Release : 2020-12-04
Category : Social Science
ISBN : 9780190251765

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The Oxford Handbook of Social Networks by Ryan Light,James Moody Pdf

"Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others"--

Social Network Analysis

Mohammad Gouse Galety,Chiai Al Atroshi,Buni Balabantaray,Sachi Nandan Mohanty
Social Network Analysis Book PDF

Author : Mohammad Gouse Galety,Chiai Al Atroshi,Buni Balabantaray,Sachi Nandan Mohanty
Publisher : John Wiley & Sons
Page : 260 pages
File Size : 44,8 Mb
Release : 2022-04-28
Category : Technology & Engineering
ISBN : 9781119836735

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Social Network Analysis by Mohammad Gouse Galety,Chiai Al Atroshi,Buni Balabantaray,Sachi Nandan Mohanty Pdf

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.

Social Network Analysis in Predictive Policing

Mohammad A. Tayebi,Uwe Glässer
Social Network Analysis in Predictive Policing Book PDF

Author : Mohammad A. Tayebi,Uwe Glässer
Publisher : Springer
Page : 133 pages
File Size : 42,8 Mb
Release : 2016-10-11
Category : Computers
ISBN : 9783319414928

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Social Network Analysis in Predictive Policing by Mohammad A. Tayebi,Uwe Glässer Pdf

This book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to fully understand criminal collaboration patterns. Co-offending networks—networks of offenders who have committed crimes together—have long been recognized by law enforcement and intelligence agencies as a major factor in the design of crime prevention and intervention strategies. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature. This book extensively and systematically studies co-offending network analysis as effective tool for predictive policing. The formal representation of criminological concepts presented here allow computer scientists to think about algorithmic and computational solutions to problems long discussed in the criminology literature. For each of the studied problems, we start with well-founded concepts and theories in criminology, then propose a computational method and finally provide a thorough experimental evaluation, along with a discussion of the results. In this way, the reader will be able to study the complete process of solving real-world multidisciplinary problems.

Computational Network Analysis with R

Matthias Dehmer,Yongtang Shi,Frank Emmert-Streib
Computational Network Analysis with R Book PDF

Author : Matthias Dehmer,Yongtang Shi,Frank Emmert-Streib
Publisher : John Wiley & Sons
Page : 364 pages
File Size : 42,6 Mb
Release : 2016-12-12
Category : Medical
ISBN : 9783527339587

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Computational Network Analysis with R by Matthias Dehmer,Yongtang Shi,Frank Emmert-Streib Pdf

This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.

Applications of Social Media and Social Network Analysis

Przemysław Kazienko,Nitesh Chawla
Applications of Social Media and Social Network Analysis Book PDF

Author : Przemysław Kazienko,Nitesh Chawla
Publisher : Springer
Page : 240 pages
File Size : 46,6 Mb
Release : 2015-05-28
Category : Computers
ISBN : 9783319190037

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Applications of Social Media and Social Network Analysis by Przemysław Kazienko,Nitesh Chawla Pdf

This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis. Various methodologies were utilized in the twelve individual chapters including static, dynamic and real-time approaches to graph, textual and multimedia data analysis. The topics apply to reputation computation, emotion detection, topic evolution, rumor propagation, evaluation of textual opinions, friend ranking, analysis of public transportation networks, diffusion in dynamic networks, analysis of contributors to communities of open source software developers, biometric template generation as well as analysis of user behavior within heterogeneous environments of cultural educational centers. Addressing these challenging applications is what makes this edited volume of interest to researchers and students focused on social media and social network analysis.

Trends in Social Network Analysis

Rokia Missaoui,Talel Abdessalem,Matthieu Latapy
Trends in Social Network Analysis Book PDF

Author : Rokia Missaoui,Talel Abdessalem,Matthieu Latapy
Publisher : Springer
Page : 255 pages
File Size : 51,9 Mb
Release : 2017-04-29
Category : Computers
ISBN : 9783319534206

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Trends in Social Network Analysis by Rokia Missaoui,Talel Abdessalem,Matthieu Latapy Pdf

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.