Abstract
We propose and investigate a gossip based, social principles and behavior inspired decentralized mechanism (GoDisco) to disseminate information in online social community networks, using exclusively social links and exploiting semantic context to keep the dissemination process selective to relevant nodes. Such a designed dissemination scheme using gossiping over a egocentric social network is unique and is arguably a concept whose time has arrived, emulating word of mouth behavior and can have interesting applications like probabilistic publish/subscribe, decentralized recommendation and contextual advertisement systems, to name a few. Simulation based experiments show that despite using only local knowledge and contacts, the system has good global coverage and behavior.
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Datta, A., Sharma, R. (2011). GoDisco: Selective Gossip Based Dissemination of Information in Social Community Based Overlays. In: Aguilera, M.K., Yu, H., Vaidya, N.H., Srinivasan, V., Choudhury, R.R. (eds) Distributed Computing and Networking. ICDCN 2011. Lecture Notes in Computer Science, vol 6522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17679-1_20
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DOI: https://doi.org/10.1007/978-3-642-17679-1_20
Publisher Name: Springer, Berlin, Heidelberg
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