The evolution of online social networks

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

Research output: Contribution to journalReview articleResearchpeer-review

14 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
Article number6153597
Pages (from-to)41-52
Number of pages12
JournalIEEE Signal Processing Magazine
Volume29
Issue number2
DOIs
StatePublished - 1 Jan 2012

Fingerprint

Blogs
Auctions
Ecosystems
Social Networks
Data acquisition
Sharing
Internet
Incentive Compatibility
Gaming
Experiments
Social Interaction
Proliferation
Data Acquisition
Ecosystem
Penetration
Instant
Web-based
Configuration
Experiment

Cite this

Leberknight, Christopher ; Inaltekin, Hazer ; Chiang, Mung ; Poor, H. Vincent. / The evolution of online social networks. In: IEEE Signal Processing Magazine. 2012 ; Vol. 29, No. 2. pp. 41-52.
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Leberknight, C, Inaltekin, H, Chiang, M & Poor, HV 2012, 'The evolution of online social networks', IEEE Signal Processing Magazine, vol. 29, no. 2, 6153597, pp. 41-52. https://doi.org/10.1109/MSP.2011.943158

The evolution of online social networks. / Leberknight, Christopher; Inaltekin, Hazer; Chiang, Mung; Poor, H. Vincent.

In: IEEE Signal Processing Magazine, Vol. 29, No. 2, 6153597, 01.01.2012, p. 41-52.

Research output: Contribution to journalReview articleResearchpeer-review

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