Abstract

Social networks are popular platforms for interaction, communication and collaboration between friends. Researchers have recently proposed an emerging class of applications that leverage relationships from social networks to improve security and performance in applications such as email, web browsing and overlay routing. While these applications often cite social network connectivity statistics to support their designs, researchers in psychology and sociology have repeatedly cast doubt on the practice of inferring meaningful relationships from social network connections alone.

Keywords

Computer scienceLeverage (statistics)Social network (sociolinguistics)World Wide WebData scienceClass (philosophy)Social computingSocial mediaArtificial intelligence

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Publication Info

Year
2009
Type
article
Pages
205-218
Citations
880
Access
Closed

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Cite This

Christo Wilson, Bryce Boe, Alessandra Sala et al. (2009). User interactions in social networks and their implications. , 205-218. https://doi.org/10.1145/1519065.1519089

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DOI
10.1145/1519065.1519089