大葉大學圖書館 |

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

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	302.30285
書名/作者:	Online social networks : : human cognitive constraints in Facebook and Twitter personal graphs // Valerio Arnaboldi, Andrea Passarella, Marco Conti, Robin I.M. Dunbar.
作者:	Arnaboldi, Valerio,
其他作者:	Passarella, Andrea,
面頁冊數:	1 online resource (ix, 106 pages) : : illustrations.
標題:	Online social networks.
標題:	Social media.
ISBN:	9780128030424
ISBN:	0128030429
ISBN:	9780128030233
ISBN:	0128030232
書目註:	Includes bibliographical references (pages 101-106).
內容註:	Human social networks -- Tie strength and ego network structure in Facebook -- The structure of ego network in Twitter -- Evolutionary dynamics in Twitter ego networks.
摘要、提要註:	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. --
電子資源:	https://www.sciencedirect.com/science/book/9780128030233

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

LCCN: 2017303371Subjects--Topical Terms:

337142
Online social networks.
Index Terms--Genre/Form:

336502
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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245 1 0 $a Online social networks : $b human cognitive constraints in Facebook and Twitter personal graphs / $c Valerio Arnaboldi, Andrea Passarella, Marco Conti, Robin I.M. Dunbar.
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504 $a Includes bibliographical references (pages 101-106).
505 0 $a Human social networks -- Tie strength and ego network structure in Facebook -- The structure of ego network in Twitter -- Evolutionary dynamics in Twitter ego networks.
520 $a 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. -- $c Edited summary from book.
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