Online social networks human cognitive constraints in Facebook and Twitter personal graphs

This book provides 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. It discuss...

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Bibliographic Details
Main Authors: Arnaboldi, Valerio, Passarella, Andrea (Author), Conti, Marco (Author), Dunbar, R. I. M. (Author)
Format: eBook
Language:English
Published: Amsterdam, Netherlands Elsevier 2015
Series:Computer science reviews and trends
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:This book provides 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. It 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. It presents quantitative evidence of the Dunbar's number in online environments and discusses original structural and dynamic properties of human social network through OSN analysis. --
Physical Description:ix, 106 pages illustrations
ISBN:9780128030424
0128030232
0128030429