Challenges In Social Network Research


Challenges In Social Network Research
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Challenges In Social Network Research


Challenges In Social Network Research
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Author : Giancarlo Ragozini
language : en
Publisher: Springer Nature
Release Date : 2019-12-06

Challenges In Social Network Research written by Giancarlo Ragozini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-06 with Computers categories.


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.



Emerging Research Challenges And Opportunities In Computational Social Network Analysis And Mining


Emerging Research Challenges And Opportunities In Computational Social Network Analysis And Mining
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Author : Nitin Agarwal
language : en
Publisher: Springer
Release Date : 2018-09-17

Emerging Research Challenges And Opportunities In Computational Social Network Analysis And Mining written by Nitin Agarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-17 with Social Science categories.


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.



Social Networks Science Design Implementation Security And Challenges


Social Networks Science Design Implementation Security And Challenges
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Author : Nilanjan Dey
language : en
Publisher: Springer
Release Date : 2018-06-18

Social Networks Science Design Implementation Security And Challenges written by Nilanjan Dey and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-18 with Computers categories.


The main target of this book is to raise the awareness about social networking systems design, implementation, security requirements, and approaches. The book entails related issues including computing, engineering, security, management, and organization policy. It interprets the design, implementation and security threats in the social networks and offers some solutions in this concern. It clarifies the authentication concept between servers to identity users. Most of the models that focus on protecting users’ information are also included. This book introduces the Human-Interactive Security Protocols (HISPs) efficiently. Presenting different types of the social networking systems including the internet and mobile devices is one of the main targets of this book. This book includes the social network performance evaluation metrics. It compares various models and approaches used in the design of the social networks. This book includes various applications for the use of the social networks in the healthcare, e-commerce, crisis management, and academic applications. The book provides an extensive background for the development of social network science and its challenges. This book discusses the social networks integration to offer online services, such as instant messaging, email, file sharing, transferring patients’ medical reports/images, location-based recommendations and many other functions. This book provides users, designers, engineers and managers with the valuable knowledge to build a better secured information transfer over the social networks. The book gathers remarkable materials from an international experts’ panel to guide the readers during the analysis, design, implementation and security achievement for the social network systems. In this book, theories, practical guidance, and challenges are included to inspire designers and researchers. The book guides the engineers, designers, and researchers to exploit the intrinsic design of the social network systems.



Principles Of Social Networking


Principles Of Social Networking
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Author : Anupam Biswas
language : en
Publisher: Springer Nature
Release Date : 2021-08-18

Principles Of Social Networking written by Anupam Biswas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-18 with Technology & Engineering categories.


This book presents new and innovative current discoveries in social networking which contribute enough knowledge to the research community. The book includes chapters presenting research advances in social network analysis and issues emerged with diverse social media data. The book also presents applications of the theoretical algorithms and network models to analyze real-world large-scale social networks and the data emanating from them as well as characterize the topology and behavior of these networks. Furthermore, the book covers extremely debated topics, surveys, future trends, issues, and challenges.



Doing Social Network Research


Doing Social Network Research
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Author : Garry Robins
language : en
Publisher: SAGE
Release Date : 2015-01-16

Doing Social Network Research written by Garry Robins and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-16 with Social Science categories.


Are you struggling to design your social network research? Are you looking for a book that covers more than social network analysis? If so, this is the book for you! With straight-forward guidance on research design and data collection, as well as social network analysis, this book takes you start to finish through the whole process of doing network research. Open the book and you′ll find practical, ′how to′ advice and worked examples relevant to PhD students and researchers from across the social and behavioural sciences. The book covers: Fundamental network concepts and theories Research questions and study design Social systems and data structures Network observation and measurement Methods for data collection Ethical issues for social network research Network visualization Methods for social network analysis Drawing conclusions from social network results This is a perfect guide for all students and researchers looking to do empirical social network research.



Prediction And Inference From Social Networks And Social Media


Prediction And Inference From Social Networks And Social Media
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Author : Jalal Kawash
language : en
Publisher: Springer
Release Date : 2017-03-16

Prediction And Inference From Social Networks And Social Media written by Jalal Kawash and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-16 with Computers categories.


This book addresses the challenges of social network and social media analysis in terms of prediction and inference. The chapters collected here tackle these issues by proposing new analysis methods and by examining mining methods for the vast amount of social content produced. Social Networks (SNs) have become an integral part of our lives; they are used for leisure, business, government, medical, educational purposes and have attracted billions of users. The challenges that stem from this wide adoption of SNs are vast. These include generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, and behavior detection. This text has applications to widely used platforms such as Twitter and Facebook and appeals to students, researchers, and professionals in the field.



Online Social Media Analysis And Visualization


Online Social Media Analysis And Visualization
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Author : Jalal Kawash
language : en
Publisher: Springer
Release Date : 2015-01-14

Online Social Media Analysis And Visualization written by Jalal Kawash and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-14 with Computers categories.


This edited volume addresses the vast challenges of adapting Online Social Media (OSM) to developing research methods and applications. The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehension tools, and many others. Each of the ten chapters tackle one or more of these issues by proposing new analysis methods or new visualization techniques, or both, for famous OSM applications such as Twitter and Facebook. This collection of contributed chapters address these challenges. Online Social Media has become part of the daily lives of hundreds of millions of users generating an immense amount of 'social content'. Addressing the challenges that stem from this wide adaptation of OSM is what makes this book a valuable contribution to the field of social networks.



Computational Social Networks


Computational Social Networks
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Author : Ajith Abraham
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-06-28

Computational Social Networks written by Ajith Abraham and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-28 with Computers categories.


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.



Perspectives On Social Network Research


Perspectives On Social Network Research
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Author : Paul W. Holland
language : en
Publisher: Elsevier
Release Date : 2013-10-22

Perspectives On Social Network Research written by Paul W. Holland and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Social Science categories.


Perspectives on Social Network Research covers the proceedings of the Mathematical Social Science Board's Advanced Research Symposium on Social Networks held at Dartmouth College, Hanover, New Hampshire, on September 18-21, 1975. This symposium was organized to survey research on social networks as well as review and criticize major research thrusts involving network studies of social behavior. The book covers topics such as the Davis/Holland/Leinhardt studies, structural sociometry, network analysis of the diffusion of innovations, and the deterministic models of social networks. Also covered are topics such as structural control models for group processes, social clusters and opinion clusters, equilibrating processes in social networks, and estimation of population totals by use of snowball samples. The text is recommended for sociologists, anthropologists, and psychologists, especially those who would like to know more about social network and are currently engaged in research in that particular field.



Computational Social Network Analysis


Computational Social Network Analysis
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Author : Ajith Abraham
language : en
Publisher: Springer
Release Date : 2012-03-01

Computational Social Network Analysis written by Ajith Abraham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-01 with Computers categories.


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.