Online 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 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

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  • Author : Valerio Arnaboldi
  • Publisher : Elsevier
  • Pages : 116 pages
  • ISBN : 0128030429
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKOnline Social Networks

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

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.

Techniques and Tools for Designing an Online Social Network Platform

Techniques and Tools for Designing an Online Social Network Platform
  • Author : Panagiotis Karampelas
  • Publisher : Springer Science & Business Media
  • Release : 13 December 2012
GET THIS BOOKTechniques and Tools for Designing an Online Social Network Platform

Following the introduction of Myspace, Linkedin and Facebook, social networks have become part of people’s everyday life. New online social networks appear almost daily developed to attract the attention of Internet users. However, design and implementation standards and guidelines are often sacrificed for innovation resulting in unusable social networking platforms destined to be doomed. Within this context, the present book recommends a design and implementation methodology which will allow future social networking platform designers and developers to work in

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.

Online Social Networking on Campus

Online Social Networking on Campus
  • Author : Ana M. Martínez-Alemán,Katherine Lynk Wartman
  • Publisher : Routledge
  • Release : 01 February 2008
GET THIS BOOKOnline Social Networking on Campus

In the era of such online spaces as Facebook, Instant Messenger, Live Journal, Blogger, Web Shots, and campus blogs, college students are using these resources and other online sites as a social medium. Inevitably, this medium presents students with ethical decisions about social propriety, self disclosure and acceptable behaviour. Because online social networking sites have proven problematic for college students and for college administrators, this book aims to offer professional guidance to Higher Education administrators and policy makers. Online Social

Online Social Networks

Online Social Networks
  • Author : Chee Wei Tan
  • Publisher : Nova Science Publishers
  • Release : 16 June 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

Online Social Media Analysis and Visualization

Online Social Media Analysis and Visualization
  • Author : Jalal Kawash
  • Publisher : Springer
  • Release : 14 January 2015
GET THIS BOOKOnline Social Media Analysis and Visualization

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

The Facebook Era

The Facebook Era
  • Author : Clara Shih
  • Publisher : Prentice Hall
  • Release : 12 March 2009
GET THIS BOOKThe Facebook Era

“People in all demographics and regions of the world are more connected than ever before to the products, issues, places, and individuals in their lives. This book recognizes that we’ve come to a place where people can represent their real identity--both personal and professional--and use the social filters on the Web to connect with the world around them.” --Sheryl Sandberg, Chief Operating Officer, Facebook “...A must-read for CEOs and other executives who want to understand Facebook and more importantly

Modeling Information Diffusion in Online Social Networks with Partial Differential Equations

Modeling Information Diffusion in Online Social Networks with Partial Differential Equations
  • Author : Haiyan Wang,Feng Wang,Kuai Xu
  • Publisher : Springer
  • Release : 17 March 2020
GET THIS BOOKModeling Information Diffusion in Online Social Networks with Partial Differential Equations

The book lies at the interface of mathematics, social media analysis, and data science. Its authors aim to introduce a new dynamic modeling approach to the use of partial differential equations for describing information diffusion over online social networks. The eigenvalues and eigenvectors of the Laplacian matrix for the underlying social network are used to find communities (clusters) of online users. Once these clusters are embedded in a Euclidean space, the mathematical models, which are reaction-diffusion equations, are developed based

The Law of Virtual Worlds and Internet Social Networks

The Law of Virtual Worlds and Internet Social Networks
  • Author : Mr Andrew Sparrow
  • Publisher : Gower Publishing, Ltd.
  • Release : 28 September 2012
GET THIS BOOKThe Law of Virtual Worlds and Internet Social Networks

Virtual worlds are the latest manifestation of the internet's inexorable appetite for development. Organisations of all kinds are enthusiastically pursuing the commercial opportunities offered by the growth of this phenomenon. But if you believe that there are no laws which govern internet social networks and virtual worlds this book will persuade you otherwise. There is law, and a good deal of it. Why would there not be? As with many other aspects of the world wide web, this new medium

Online Social Networks

Online Social Networks
  • Author : Chee Wei Tan
  • Publisher : Nova Science Publishers
  • Release : 16 June 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

The Open Knowledge Society

The Open Knowledge Society
  • Author : Miltiadis D. Lytras,John M. Carroll,Ernesto Damiani,Robert D. Tennyson,David Avison,Gottfried Vossen,Patricia Ordóñez de Pablos
  • Publisher : Springer Science & Business Media
  • Release : 24 September 2008
GET THIS BOOKThe Open Knowledge Society

It is a great pleasure to share with you the Springer CCIS proceedings of the First World Summit on the Knowledge Society - WSKS 2008 that was organized by the Open Research Society, NGO, http://www.open-knowledge-society.org, and hosted by the American College of Greece, http://www.acg.gr, during September 24–27, 2008, in Athens, Greece. The World Summit on the Knowledge Society Series is an international attempt to promote a dialogue on the main aspects of a knowledge society toward a

Online Social Media Content Delivery

Online Social Media Content Delivery
  • Author : Zhi Wang,Wenwu Zhu,Shiqiang Yang
  • Publisher : Springer
  • Release : 31 July 2018
GET THIS BOOKOnline Social Media Content Delivery

This book explains how to use a data-driven approach to design strategies for social media content delivery. It first introduces readers to how social information can be effectively gathered for big data analysis, which provides content delivery intelligence. Secondly, the book describes data-driven models to capture information diffusion in online social networks and social media content propagation and popularity, before presenting prediction models for social media content delivery. By addressing the resource allocation and content replication aspects of social media

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