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Online social networks :human cognit...
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Arnaboldi, Valerio,
Online social networks :human cognitive constraints in Facebook and Twitter personal graphs /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Online social networks :Valerio Arnaboldi, Andrea Passarella, Marco Conti, Robin I.M. Dunbar.
Reminder of title:
human cognitive constraints in Facebook and Twitter personal graphs /
Author:
Arnaboldi, Valerio,
other author:
Passarella, Andrea,
Description:
1 online resource (ix, 106 pages) :illustrations.
Subject:
Online social networks.
Online resource:
https://www.sciencedirect.com/science/book/9780128030233
ISBN:
9780128030424$q(electronic bk.)
Online social networks :human cognitive constraints in Facebook and Twitter personal graphs /
Arnaboldi, Valerio,
Online social networks :
human cognitive constraints in Facebook and Twitter personal graphs /Valerio Arnaboldi, Andrea Passarella, Marco Conti, Robin I.M. Dunbar. - 1 online resource (ix, 106 pages) :illustrations. - Computer science reviews and trends. - Computer science reviews and trends..
Includes bibliographical references (pages 101-106).
Human social networks -- Tie strength and ego network structure in Facebook -- The structure of ego network in Twitter -- Evolutionary dynamics in Twitter ego networks.
This book provides insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior. As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis. It discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties. Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments. It presents quantitative evidence of the Dunbar's number in online environments and discusses original structural and dynamic properties of human social network through OSN analysis. --
ISBN: 9780128030424$q(electronic bk.)
LCCN: 2017303371Subjects--Topical Terms:
281852
Online social networks.
Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: HM742
Dewey Class. No.: 302.30285
Online social networks :human cognitive constraints in Facebook and Twitter personal graphs /
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human cognitive constraints in Facebook and Twitter personal graphs /
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Valerio Arnaboldi, Andrea Passarella, Marco Conti, Robin I.M. Dunbar.
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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. --
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https://www.sciencedirect.com/science/book/9780128030233
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000000169945
電子館藏
1圖書
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EB HM742
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1 records • Pages 1 •
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https://www.sciencedirect.com/science/book/9780128030233
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