- Table View
- List View
Social Network Analysis - Community Detection and Evolution (Lecture Notes in Social Networks)
by Rokia Missaoui Idrissa SarrThis book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis.
Social Network Analysis in Action: Basic Methods and Applications (Lecture Notes in Social Networks)
by Song YangThis book offers a balanced view between a basic introduction of Social Network Analysis (SNA) in its methods and application, and advanced topics of data mining techniques and the subsequent SNA analyses. The book stands out as uniquely important contribution to the SNA field because it moves beyond the stage of basic SNA methods. It describes data mining techniques, introducing an online discourse collection platform, ICAS, which is developed by an interdisciplinary team involving Sociologists and Computer Engineer teams with supports of NSF funds.Targeted audiences of this book are students and scholars interested in using SNA techniques to advance their analytics of their respective research areas. This book provides particular utilities to students at the beginner stage of learning SNA basics, and those in their intermediary careers looking to advance their knowledges of what SNA has to offer. The unique features of this book lie in its descriptions of data mining techniques, data processing, and data analytics. The discussions of an online discourse network platform and data processing capabilities present tremendous benefits to those who aspire to mine the massive data of online social networking.
Social Network Analysis in Predictive Policing: Concepts, Models and Methods (Lecture Notes in Social Networks)
by Mohammad A. Tayebi Uwe GlässerThis 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.
Social Network Analysis of Disaster Response, Recovery, and Adaptation
by Eric C. Jones A. J. FaasSocial Network Analysis of Disaster Response, Recovery, and Adaptation covers systematic social network analysis and how people and institutions function in disasters, after disasters, and the ways they adapt to hazard settings. As hazards become disasters, the opportunities and constraints for maintaining a safe and secure life and livelihood become too strained for many people. Anecdotally, and through many case studies, we know that social interactions exacerbate or mitigate those strains, necessitating a concerted, intellectual effort to understand the variation in how ties within, and outside, communities respond and are affected by hazards and disasters. - Examines the role of societal relationships in a disaster context, incorporating theory and case studies by experts in the field - Integrates research in the areas of social network analysis and inter-organizational networks - Presents a range of studies from around the world, employing different approaches to network analysis in disaster contexts
Social Network Analytics: Computational Research Methods and Techniques
by Nilanjan Dey Amira S. Ashour Rosalina Babo Samarjeet BorahSocial 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 networksDiscusses various methods of visualizing, modeling and tracking network patterns, organization, growth and changeCovers the most recent research on social network analysis and includes applications to a number of domains
Social Network Based Big Data Analysis and Applications (Lecture Notes in Social Networks)
by Mehmet Kaya Jalal Kawash Suheil Khoury Min-Yuh DayThis book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2016), which was held in August 2016. The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field.
Social Network-Based Recommender Systems
by Daniel SchallThis book introduces novel techniques and algorithms necessary to support the formation of social networks. Concepts such as link prediction, graph patterns, recommendation systems based on user reputation, strategic partner selection, collaborative systems and network formation based on ‘social brokers’ are presented. Chapters cover a wide range of models and algorithms, including graph models and a personalized PageRank model. Extensive experiments and scenarios using real world datasets from GitHub, Facebook, Twitter, Google Plus and the European Union ICT research collaborations serve to enhance reader understanding of the material with clear applications. Each chapter concludes with an analysis and detailed summary. Social Network-Based Recommender Systems is designed as a reference for professionals and researchers working in social network analysis and companies working on recommender systems. Advanced-level students studying computer science, statistics or mathematics will also find this books useful as a secondary text.
Social Network Computing
by Jiang WuIn the era of digital economy with highly-connected world, the ability to comprehend social network computing has become an indispensable skill. This book serves as a vital guide for academics and professionals engaged in research within this rapidly expanding field. The book is organized into three parts, each dedicated to different facets of social network computing. The journey commences with an exploration of foundational principles, encompassing triadic closure, strong and weak ties, network homophily, and positive and negative balance. This lays the groundwork for an in-depth examination of fundamental theories governing social networks. Subsequently, the focus shifts to the laws dictating social networks, elucidating phenomena like the small world effect, power law distribution, community detection, diffusion processes, game theory dynamics, and hypernetworks, also including multiplex networks, multi-mode networks and temporal networks. The final section of the book centers on the practical aspects of social network analysis, delving into topics such as link prediction, influence evaluation, dynamic analysis, random experiments, modeling and simulation, and representation learning. This provides a comprehensive exploration of the applicability of social network analysis in real-world scenarios. This book seamlessly integrates theory with practice by incorporating popular social network computing software, including igraph, Gephi, Ucinet, and Netlogo. By mastering the computational thinking methods presented in this book, readers will deepen their understanding of social network computing and acquire the skills to effectively apply it in various real-world contexts.
Social Network Data Analytics
by Charu C. AggarwalSocial network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.
Social Network Forensics, Cyber Security, and Machine Learning (SpringerBriefs in Applied Sciences and Technology)
by P. Venkata Krishna Sasikumar Gurumoorthy Mohammad S. ObaidatThis book discusses the issues and challenges in Online Social Networks (OSNs). It highlights various aspects of OSNs consisting of novel social network strategies and the development of services using different computing models. Moreover, the book investigates how OSNs are impacted by cutting-edge innovations.
Social Networking: Mining, Visualization, and Security (Intelligent Systems Reference Library #65)
by Mrutyunjaya Panda Satchidananda Dehuri Gi-Nam WangWith the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining.
Social Networking and Education: Global Perspectives (Lecture Notes in Social Networks)
by Tomayess Issa Pedro Isaias Piet KommersThe present work is intended to assist academics, researchers and proponents of online learning and teaching. Academics will be able to share the findings presented in this book, and the Social Networking and Education Model (SNEM), with their students (i.e. Masters and PhD). It is envisaged that this book will assist researchers and anyone interested in online learning to understand the opportunities and risks associated with the use of Social Networking in the education sector, and assist them to implement SN by means of the new SNEM model. The reader will benefit from our examinations of the risks and opportunities associated with the use of Social Networking in the education sector in various regions around the world: Asia-Pacific, Europe, Mediterranean, America, Middle East and the Caribbean. In addition, a Social Networking and Education Model (SNEM) will be developed to promote and implement Social Networking in the education sector.
Social Networking for Language Education (New Language Learning and Teaching Environments)
by Marie-Noëlle Lamy and Katerina ZourouSocial networking is now one of the ways in which anyone can set out to learn or improve their language skills. This collection brings together different sets of learning experiences and shows that success depends on the wider environment of the learner, the kind of activity the learner engages in and the type of learning priorities he or she has.
Social Networking for the Older and Wiser: Connect with Family and Friends, Old and New (The\third Age Trust (u3a)/older And Wiser Ser.)
by Sean McManusSocial networks enable anyone with a computer and Internet connection to stay in touch with friends and family across the globe, and rediscover old acquaintances. Social Networking for the Older and Wiser starts with the basics of social networks, before moving onto intermediate topics, all whilst highlighting ways to protect your privacy and keep your details secure. The book is packed with step-by-step instructions on how to use Facebook, Twitter, Friends Reunited, Saga Zone, and other social networks to: Create an account on your chosen social network Reconnect and stay-in-touch with old friends Find others who share your interests and hobbies Share messages and photos Create your own social groups and clubs online So what are you waiting for? Join in on the social networking phenomenon that is sweeping the globe!
Social Networking in Recruitment
by Amanda BeltonBecome a professional social networking expert and give your organization a cost-effective advantage in the hiring market. Social networks have opened up whole new channels of communication between prospective employees and employers. They provide perfect opportunities to build a strong relationship with potential employees that ensures investment in recruitment is targeted towards a successful, cost effective hire. Social networks also allow an organization to build a strong employer brand that reaches the digital natives of the world, enabling the recruiter to achieve a competitive advantage.
Social Networking Spaces: From Facebook to Twitter and Everything In Between
by Todd KelseyWhat the heck is Facebook? Twitter? Blogging? This book answers these questions and explains how to use a variety of social networking sites to keep in touch, stay in business, and have fun. This book covers the main social networking “spaces,” and introduces some of the ways people are enjoying them within a family or business context. It includes information on posting pictures, using add-ons, and working with Facebook and LinkedIn groups. It also covers the phenomenon of Twitter, including how it has grown and the road ahead. This book also covers how you can use the various networks together, such as sending a Twitter message that updates your Facebook status, or exporting your LinkedIn contact list and using it to invite people to Facebook. It also includes discussion of how to use social networks for both personal and business use, and how to keep them separate. How to use Facebook, Twitter, and other social networking sites for family, friends, and business How to make your sites talk to each other How to make the most of social networking and stay out of trouble
Social Networks: Modelling and Analysis (Advanced Research in Reliability and System Assurance Engineering)
by Niyati Aggrawal Adarsh AnandThe goal of this book is to provide a reference for applications of mathematical modelling in social media and related network analysis and offer a theoretically sound background with adequate suggestions for better decision-making. Social Networks: Modelling and Analysis provides the essential knowledge of network analysis applicable to real-world data, with examples from today's most popular social networks such as Facebook, Twitter, Instagram, YouTube, etc. The book provides basic notation and terminology used in social media and its network science. It covers the analysis of statistics for social network analysis such as degree distribution, centrality, clustering coefficient, diameter, and path length. The ranking of the pages using rank algorithms such as Page Rank and HITS are also discussed. Written as a reference this book is for engineering and management students, research scientists, as well as academicians involved in complex networks, mathematical sciences, and marketing research.
Social Networks: Modelling and Analysis (Advanced Research in Reliability and System Assurance Engineering)
by Niyati Aggrawal Adarsh AnandThe goal of this book is to provide a reference for applications of mathematical modelling in social media and related network analysis and offer a theoretically sound background with adequate suggestions for better decision-making. Social Networks: Modelling and Analysis provides the essential knowledge of network analysis applicable to real-world data, with examples from today's most popular social networks such as Facebook, Twitter, Instagram, YouTube, etc. The book provides basic notation and terminology used in social media and its network science. It covers the analysis of statistics for social network analysis such as degree distribution, centrality, clustering coefficient, diameter, and path length. The ranking of the pages using rank algorithms such as Page Rank and HITS are also discussed. Written as a reference this book is for engineering and management students, research scientists, as well as academicians involved in complex networks, mathematical sciences, and marketing research.
Social Networks: Models of Information Influence, Control and Confrontation (Studies in Systems, Decision and Control #189)
by Alexander G. Chkhartishvili Dmitry A. Gubanov Dmitry A. NovikovThis book surveys the well-known results and also presents a series of original results on the mathematical modeling of social networks, focusing on models of informational influence, control and confrontation. Online social networks are intended for communication, opinion exchange and information acquisition for their members, but recently, online social networks have been intensively used as the objects and means of informational control and an arena of informational confrontation. They have become a powerful informational influence tool, particularly for the manipulation of individuals, social groups and society as a whole, as well as a battlefield of information warfare (cyberwars). This book aimed at under- and postgraduate university students as well as experts in information technology and modeling of social systems and processes.
Social Networks: Analysis And Case Studies (Lecture Notes in Social Networks)
by Şule Gündüz-Öğüdücü A. Şima Etaner-UyarThe present volume provides a comprehensive resource for practitioners and researchers alike-both those new to the field as well as those who already have some experience. The work covers Social Network Analysis theory and methods with a focus on current applications and case studies applied in various domains such as mobile networks, security, machine learning and health. With the increasing popularity of Web 2.0, social media has become a widely used communication platform. Parallel to this development, Social Network Analysis gained in importance as a research field, while opening up many opportunities in different application domains. Forming a bridge between theory and applications makes this work appealing to both academics and practitioners as well as graduate students.
Social Networks and the Life Course: Integrating the Development of Human Lives and Social Relational Networks (Frontiers in Sociology and Social Research #2)
by Duane F. Alwin Diane H. Felmlee Derek A. KreagerThis volume engages the interface between the development of human lives and social relational networks. It focuses on the integration of two subfields of sociology/social science--the life course and social networks. Research practitioners studying social networks typically focus on social structure or social organization, ignoring the complex lives of the people in those networks. At the same time, life course researchers tend to focus on individual lives without necessarily studying the contexts of social relationships in which lives are embedded and “linked” to one another through social networks. These patterns are changing and this book creates an audience of researchers who will better integrate the two subfields. It covers the role of social networks across the life span, from childhood and adolescence, to midlife, through old age.
Social Networks and the Semantic Web (Semantic Web and Beyond #5)
by Peter MikaSocial Networks and the Semantic Web offers valuable information to practitioners developing social-semantic software for the Web. It provides two major case studies. The first case study shows the possibilities of tracking a research community over the Web. It reveals how social network mining from the web plays an important role for obtaining large scale, dynamic network data beyond the possibilities of survey methods. The second case study highlights the role of the social context in user-generated classifications in content, such as the tagging systems known as folksonomies.
Social Networks as the New Frontier of Terrorism: #Terror (Routledge Research in Information Technology and E-Commerce Law)
by Laura ScaifeTerrorism. Why does this word grab our attention so? Propaganda machines have adopted modern technology as a means to always have their content available. Regardless of the hour or time zone, information is being shared by somebody, somewhere. Social media is a game changer influencing the way in which terror groups are changing their tactics and also how their acts of terror are perceived by the members of the public they intend to influence. This book explores how social media adoption by terrorists interacts with privacy law, freedom of expression, data protection and surveillance legislation through an exploration of the fascinating primary resources themselves, covering everything from the Snowden Leaks, the rise of ISIS to Charlie Hebdo. The book also covers lesser worn paths such as the travel guide that proudly boasts that you can get Bounty and Twix bars mid-conflict, and the best local hair salons for jihadi brides. These vignettes, amongst the many others explored in this volume bring to life the legal, policy and ethical debates considered in this volume, representing an important part in the development of understanding terrorist narratives on social media, by framing the legislative debate. This book represents an invaluable guide for lawyers, government bodies, the defence services, academics, students and businesses.
Social Networks as the New Frontier of Terrorism: #Terror (Routledge Research in Information Technology and E-Commerce Law)
by Laura ScaifeTerrorism. Why does this word grab our attention so? Propaganda machines have adopted modern technology as a means to always have their content available. Regardless of the hour or time zone, information is being shared by somebody, somewhere. Social media is a game changer influencing the way in which terror groups are changing their tactics and also how their acts of terror are perceived by the members of the public they intend to influence. This book explores how social media adoption by terrorists interacts with privacy law, freedom of expression, data protection and surveillance legislation through an exploration of the fascinating primary resources themselves, covering everything from the Snowden Leaks, the rise of ISIS to Charlie Hebdo. The book also covers lesser worn paths such as the travel guide that proudly boasts that you can get Bounty and Twix bars mid-conflict, and the best local hair salons for jihadi brides. These vignettes, amongst the many others explored in this volume bring to life the legal, policy and ethical debates considered in this volume, representing an important part in the development of understanding terrorist narratives on social media, by framing the legislative debate. This book represents an invaluable guide for lawyers, government bodies, the defence services, academics, students and businesses.
Social Networks: A Framework of Computational Intelligence (Studies in Computational Intelligence #526)
by Witold Pedrycz Shyi-Ming ChenThis volume provides the audience with an updated, in-depth and highly coherent material on the conceptually appealing and practically sound information technology of Computational Intelligence applied to the analysis, synthesis and evaluation of social networks. The volume involves studies devoted to key issues of social networks including community structure detection in networks, online social networks, knowledge growth and evaluation, and diversity of collaboration mechanisms. The book engages a wealth of methods of Computational Intelligence along with well-known techniques of linear programming, Formal Concept Analysis, machine learning, and agent modeling. Human-centricity is of paramount relevance and this facet manifests in many ways including personalized semantics, trust metric, and personal knowledge management; just to highlight a few of these aspects. The contributors to this volume report on various essential applications including cyber attacks detection, building enterprise social networks, business intelligence and forming collaboration schemes. Given the subject area, this book is aimed at a broad audience of researchers and practitioners. Owing to the nature of the material being covered and a way it is organized, the volume will appeal to the well-established communities including those active in various disciplines in which social networks, their analysis and optimization are of genuine relevance. Those involved in operations research, management, various branches of engineering, and economics will benefit from the exposure to the subject matter.