Online Social Networks
Human Cognitive Constraints in Facebook and Twitter Personal Graphs
- 1st Edition - September 29, 2015
- Latest edition
- Authors: Valerio Arnaboldi, Andrea Passarella, Marco Conti, Robin I.M. Dunbar
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 0 3 0 2 3 - 3
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 0 3 0 4 2 - 4
Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mecha… Read more
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
Researchers working in the field of social network analysis, and undergraduate and graduate students studying the same topic. Professionals in the field of Online Social Networking service design
- Preface
- Acknowledgements
- Chapter 1: Introduction
- Abstract
- 1.1 Offline and Online Social Networks
- 1.2 OSNs in the Cyber-Physical Convergence Scenario
- 1.3 Ego Networks Analysis and the Social Brain Hypothesis
- 1.4 Aim of the Book
- 1.5 Book Structure
- Chapter 2: Human Social Networks
- Abstract
- 2.1 Introduction
- 2.2 Macroscopic Properties of Unweighted Social Networks
- 2.3 From Social Graphs to Interaction Graphs
- 2.4 Microscopic Properties of Social Networks
- 2.5 Bridging Microscopic and Macroscopic Properties of Social Networks
- 2.6 Chapter Summary and Discussion
- Chapter 3: Tie Strength and Ego Network Structure in Facebook
- Abstract
- 3.1 Introduction
- 3.2 Modelling Tie Strength in Facebook
- 3.3 The Structure of Ego Networks in Facebook
- 3.4 Chapter Summary and Discussion
- Chapter 4: The Structure of Ego Networks in Twitter
- Abstract
- 4.1 Introduction
- 4.2 Dataset for the Analysis of Twitter Ego Networks
- 4.3 Structural Properties of Ego Networks in Twitter
- 4.4 Chapter Summary and Discussion
- Chapter 5: Evolutionary Dynamics in Twitter Ego Networks
- Abstract
- 5.1 Introduction
- 5.2 Evolutionary Properties of Social Network Graphs
- 5.3 Methodology for the Analysis of the Dynamics of Twitter Ego Networks
- 5.4 Dynamics of Twitter Ego Networks
- 5.5 Chapter Summary and Discussion
- Chapter 6: Conclusion
- Abstract
- 6.1 Introduction
- 6.2 Ego Network Structure and Information Diffusion
- 6.3 Research Directions
- 6.4 Book Milestones
- References
- Edition: 1
- Latest edition
- Published: September 29, 2015
- Language: English
VA
Valerio Arnaboldi
Dr. Valerio Arnaboldi Ph.D is currently a Researcher in the field of social networks analysis with the Ubiquitous Internet group of the Institute for Informatics and Telematics (IIT) of the National Research Council of Italy (CNR). Previously, he worked as a visiting Ph.D. student at the Social and Evolutionary Neuroscience Research Group at the University of Oxford (UK), under the supervision of Prof. Robin I.M. Dunbar. His research interests include social network analysis, social relationships modeling and context- and social-based services for networking solutions on mobile platforms.
Affiliations and expertise
Institute for Informatics and Telematics, National Research Council (IIT-CNR), ItalyAP
Andrea Passarella
Dr. Andrea Passarella Ph.D is currently a Researcher at the Institute for Informatics and Telematics (IIT) of the National Research Council of Italy (CNR). He has published 100+ papers on Online and Mobile social networks, opportunistic, ad hoc and sensor networks, receiving the best paper award at IFIP Networking 2011 and IEEE WoWMoM 2013. He was Guest Co-Editor of several special sections in ACM and Elsevier Journals and of the book “Multi-hop Ad hoc Networks: From Theory to Reality” (2007).
Affiliations and expertise
Institute for Informatics and Telematics, National Research Council (IIT-CNR), ItalyMC
Marco Conti
Dr. Marco Conti is a Research Director of the Italian National Research Council (CNR). He has published in journals and conference proceedings more than 300 research papers (related to design, modelling, and performance evaluation of computer network, pervasive systems and social networks. He is Editor-in-Chief of Elsevier Computer Communications journal and Associate Editor in-Chief of Elsevier Pervasive and Mobile Computing journal. He received the Best Paper Award at IFIP TC6 Networking 2011, IEEE ISCC 2012 and IEEE WoWMoM 2013 He co-authored the book “Metropolitan Area Networks (MANs) (Wiley 2004) and “Mobile Ad hoc networking: the cutting edge technologies”, (IEEE-Wiley 2013).
Affiliations and expertise
Institute for Informatics and Telematics, National Research Council (IIT-CNR), ItalyRD
Robin I.M. Dunbar
Dr. Robin Dunbar is currently Professor of Evolutionary Psychology at the University of Oxford and a Fellow of Magdalen College. He is a Fellow of the British Academy. His principal research area focuses on the evolution of sociality. His current project funded by the ERC focus on the mechanisms of social cohesion. He has authored over 15 books including; The Trouble with Science (Harvard University Press) and Thinking Big: How the Evolution of Social Life Shaped the Human Mind (Thames) and over 300 research articles.
Affiliations and expertise
University of Oxford, England and Aalto University, FinlandRead Online Social Networks on ScienceDirect