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  • 1
    Online Resource
    Online Resource
    Amsterdam, [Netherlands] :Elsevier,
    UID:
    almafu_9960074029902883
    Format: 1 online resource (0 p.)
    Edition: First edition.
    ISBN: 9780128030424 , 0128030429
    Series Statement: Computer Science Reviews and Trends
    Content: Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new 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, the text 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. Provides an analysis of the structural properties of ego networks in online social networks Presents quantitative evidence of the Dunbar’s number in online environments Discusses original structural and dynamic properties of human social network through OSN analysis
    Note: Description based upon print version of record. , Human social networks -- Tie strength and ego network structure in Facebook -- The structure of ego network in Twitter -- Evolutionary dynamics in Twitter ego networks , English
    Additional Edition: ISBN 9780128030233
    Additional Edition: ISBN 0128030232
    Language: English
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