The evolution of online social networks

Christopher Leberknight, Hazer Inaltekin, Mung Chiang, H. Vincent Poor

Research output: Contribution to journalReview articlepeer-review

17 Citations (Scopus)

Abstract

Recent developments in Internet and Web technologies, such as the high penetration and proliferation of online social networks, online gaming platforms, blogs, and instant messaging services in many aspects of human life, have generated a new wave of interest in the field of sociology in general and in the study of social networks in particular. Two key methods for conducting quantitative and analytical research in social networks and interactions at large scales are Web-based experiments and computerized online data acquisition. The Sharing-Mart system provides the opportunity to examine several different sociological complex problems, but it also offers the ability to investigate different configurations for designing auctions such as single winner and multi-winner package auctions. Incentive compatibility is an important feature of Sharing-Mart auctions since it induces all bidders to bid only once with their true values to buy content in the Sharing-Mart ecosystem.

Original languageEnglish
Pages (from-to)41-52
Number of pages12
JournalIEEE Signal Processing Magazine
Volume29
Issue number2
DOIs
Publication statusPublished - Mar 2012
Externally publishedYes

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