Online social networks : human cognitive constraints in Facebook and Twitter personal graphs / [electronic resource]
by Arnaboldi, Valerio [author.]; Passarella, Andrea [author.]; Conti, Marco [author.]; Dunbar, R. I. M. (Robin Ian MacDonald) [author.].
Material type:
BookSeries: Computer science reviews and trends: Publisher: Amsterdam, Netherlands : Elsevier, 2015.Description: 1 online resource (ix, 106 pages) : illustrations.ISBN: 9780128030424; 0128030429; 0128030232; 9780128030233.Subject(s): Online social networks | Social media | PSYCHOLOGY -- Social Psychology | COMPUTERS -- Web -- Social Networking | Online social networks | Social media | Electronic books | Electronic bookOnline resources: ScienceDirect Includes bibliographical references (pages 101-106).
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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. -- Edited summary from book.
Human social networks -- Tie strength and ego network structure in Facebook -- The structure of ego network in Twitter -- Evolutionary dynamics in Twitter ego networks.
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