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Online Social Networks

Online Social Networks
  • Author : Valerio Arnaboldi,Andrea Passarella,Marco Conti,Robin I.M. Dunbar
  • Publisher : Elsevier
  • Release : 25 September 2015
GET THIS BOOKOnline Social Networks

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


Online Social Networks

Online Social Networks
  • Author : Chee Wei Tan
  • Publisher : Nova Science Publishers
  • Release : 08 March 2021
GET THIS BOOKOnline Social Networks

This book consists of contributions from preeminent experts in the field of network science, signal processing and machine learning, focusing on the theoretical and algorithmic aspects of online social networking technologies. As online social networks provide an important and diverse medium for spreading and disseminating various types of information, this book offers new perspectives and applications of these large-scale networks in engineering cyber intelligence.The book introduces and explains how to design predictive analytics and computational tools, but also presents


Mining Lurkers in Online Social Networks

Mining Lurkers in Online Social Networks
  • Author : Andrea Tagarelli,Roberto Interdonato
  • Publisher : Springer
  • Release : 09 November 2018
GET THIS BOOKMining Lurkers in Online Social Networks

This SpringerBrief brings order to the wealth of research studies that contribute to shape our understanding of on-line social networks (OSNs) lurking phenomena. This brief also drives the development of computational approaches that can be effectively applied to answer questions related to lurking behaviors, as well as to the engagement of lurkers in OSNs. All large-scale online social networks (OSNs) are characterized by a participation inequality principle, i.e., the crowd of an OSN does not actively contribute, rather it



Security and Trust in Online Social Networks

Security and Trust in Online Social Networks
  • Author : Barbara Carminati,Elena Ferrari,Marco Viviani
  • Publisher : Morgan & Claypool Publishers
  • Release : 01 December 2013
GET THIS BOOKSecurity and Trust in Online Social Networks

The enormous success and diffusion that online social networks (OSNs) are encountering nowadays is vastly apparent. Users' social interactions now occur using online social media as communication channels; personal information and activities are easily exchanged both for recreational and business purposes in order to obtain social or economic advantages. In this scenario, OSNs are considered critical applications with respect to the security of users and their resources, for their characteristics alone: the large amount of personal information they manage, big



Security and Privacy in Social Networks

Security and Privacy in Social Networks
  • Author : Yaniv Altshuler,Yuval Elovici,Armin B. Cremers,Nadav Aharony,Alex Pentland
  • Publisher : Springer Science & Business Media
  • Release : 14 August 2012
GET THIS BOOKSecurity and Privacy in Social Networks

Security and Privacy in Social Networks brings to the forefront innovative approaches for analyzing and enhancing the security and privacy dimensions in online social networks, and is the first comprehensive attempt dedicated entirely to this field. In order to facilitate the transition of such methods from theory to mechanisms designed and deployed in existing online social networking services, the book aspires to create a common language between the researchers and practitioners of this new area- spanning from the theory of


New Directions in Web Data Management 1

New Directions in Web Data Management 1
  • Author : Athena Vakali,Lakhmi C. Jain
  • Publisher : Springer Science & Business Media
  • Release : 19 January 2011
GET THIS BOOKNew Directions in Web Data Management 1

This book addresses the major issues in the Web data management related to technologies and infrastructures, methodologies and techniques as well as applications and implementations. Emphasis is placed on Web engineering and technologies, Web graph managing, searching and querying and the importance of social Web.


Online Social Networks

Online Social Networks
  • Author : Laurie Collier Hillstrom
  • Publisher : Greenhaven Publishing LLC
  • Release : 03 May 2010
GET THIS BOOKOnline Social Networks

Author Laurie Collier Hillstrom examines the development and amazing growth of online social networking. She explains the basic technology, and examines how it has impacted many facets of life, including politics, activism, charity, business, and science. Readers will explore the emerging problems of identity theft, privacy issues, sexual predators, cyber-bullying, and fraud. Lastly, this book provides an overview of future trends and related technological advancements.


Machine Learning Techniques for Online Social Networks

Machine Learning Techniques for Online Social Networks
  • Author : Tansel Özyer,Reda Alhajj
  • Publisher : Springer
  • Release : 30 May 2018
GET THIS BOOKMachine Learning Techniques for Online Social Networks

The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields.


Machine Learning Techniques for Online Social Networks

Machine Learning Techniques for Online Social Networks
  • Author : Tansel Özyer,Reda Alhajj
  • Publisher : Springer
  • Release : 30 May 2018
GET THIS BOOKMachine Learning Techniques for Online Social Networks

The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields.



Privacy Risk Analysis of Online Social Networks

Privacy Risk Analysis of Online Social Networks
  • Author : Sourya Joyee De,Abdessamad Imine
  • Publisher : Morgan & Claypool Publishers
  • Release : 22 October 2020
GET THIS BOOKPrivacy Risk Analysis of Online Social Networks

The social benefit derived from Online Social Networks (OSNs) can lure users to reveal unprecedented volumes of personal data to an online audience that is much less trustworthy than their offline social circle. Even if a user hides his personal data from some users and shares with others, privacy settings of OSNs may be bypassed, thus leading to various privacy harms such as identity theft, stalking, or discrimination. Therefore, users need to be assisted in understanding the privacy risks of


Design to Thrive

Design to Thrive
  • Author : Tharon Howard
  • Publisher : Morgan Kaufmann
  • Release : 08 December 2009
GET THIS BOOKDesign to Thrive

Social networks and online communities are reshaping the way people communicate, both in their personal and professional lives. What makes some succeed and others fail? What draws a user in? What makes them join? What keeps them coming back? Entrepreneurs and businesses are turning to user experience practitioners to figure this out. Though they are well-equipped to evaluate and create a variety of interfaces, social networks require a different set of design principles and ways of thinking about the user


Social Networks and Surveillance for Society

Social Networks and Surveillance for Society
  • Author : Tansel Özyer,Sambit Bakshi,Reda Alhajj
  • Publisher : Springer
  • Release : 03 August 2018
GET THIS BOOKSocial Networks and Surveillance for Society

This book focuses on recent technical advancements and state-of-the art technologies for analyzing characteristic features and probabilistic modelling of complex social networks and decentralized online network architectures. Such research results in applications related to surveillance and privacy, fraud analysis, cyber forensics, propaganda campaigns, as well as for online social networks such as Facebook. The text illustrates the benefits of using advanced social network analysis methods through application case studies based on practical test results from synthetic and real-world data. This