Online social networks : human cognitive constraints in Facebook and Twitter personal graphs / Valerio Arnaboldi, Andrea Passarella, Marco Conti, Robin I.M. Dunbar.
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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Full Text (via O'Reilly/Safari) |
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| Main Authors: | , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Amsterdam, Netherlands :
Elsevier,
[2015]
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| Series: | Computer science reviews and trends.
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| Subjects: |
| 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. -- |
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| Physical Description: | 1 online resource (ix, 106 pages) : illustrations |
| Bibliography: | Includes bibliographical references (pages 101-106). |
| ISBN: | 9780128030424 0128030429 0128030232 9780128030233 |
| Source of Description, Etc. Note: | Vendor-supplied metadata. |