| Description |
1 online resource (ix, 106 pages) : illustrations |
| Series |
Computer science reviews and trends |
|
Computer science reviews and trends.
|
| Bibliography |
Includes bibliographical references (pages 101-106). |
| 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. -- Edited summary from book. |
| Contents |
Human social networks -- Tie strength and ego network structure in Facebook -- The structure of ego network in Twitter -- Evolutionary dynamics in Twitter ego networks. |
| Subject |
Online social networks.
|
|
Social media.
|
|
Réseaux sociaux (Internet) |
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Médias sociaux. |
|
social media. |
|
Online social networks |
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Social media |
| Added Author |
Passarella, Andrea, author.
|
|
Conti, Marco, 1962- author.
|
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Dunbar, R. I. M. (Robin Ian MacDonald), 1947- author.
|
| Other Form: |
Print version: Arnaboldi, Valerio. Online social networks. Amsterdam, Netherlands : Elsevier, 2015 0128030232 (OCoLC)903596384 |
| ISBN |
9780128030424 (electronic bk.) |
|
0128030429 (electronic bk.) |
|
0128030232 |
|
9780128030233 |
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