ANALYSIS OF PEER-TO-PEER SOCIAL NETWORKING. Afrin Shaik. OUTLINE . Problem Introduction Related work My contribution. Problem. As social networking analysis, peer-to-peer social networking analysis is also interesting in terms of D ata availability and long term data durability.
As social networking analysis, peer-to-peer social networking analysis is also interesting in terms of
-requirement of internet connectivity.
Social relations of the users are maintained by including three attributes – “unique iden-tifier/pseudonym”, “relation-type” (friend, relative, colleague, etc.) and “trust level” (High, Medium, Low).
The category, Resources is also divided into groups based on types, such as private in-formation (Profession, age, educational qualification, family information, etc.) private messaging, public messaging (wall, group page, status, events, etc.), pictures or videos, etc.
To store small objects peerSoN uses replication technique rather than coding.
Replica Placement in P2P Storage: Complexity and Game Theoretic Analyses
By Krzysztof Rzadca, AnwitamanDatta, Sonja Buchegger.
Geographic routing in social networks
By David Liben-Nowell, Jasmine Novak, Ravi Kumar, PrabhakarRaghavan, and Andrew Tomkins
In-degree (Left) and out-degree (Right) distributions in LiveJournal. For each k, the number Nin(k) of LiveJournal users who are listed as a friend of at least k users and the number Nout(k) of people who list at least k friends are shown, both for all 1,300,000 users and the 500,000 users who list locatable hometowns in the United States.
The relationship between friendship probability and geographic distance. (A) For each distance , the proportion P() of friendships among all pairs u, v of LiveJournal users with d(u, v) is shown. Distances are rounded down to multiples of 10 km. The number of pairs u,v with d(u, v) is estimated by computing the distance between 10,000 randomly chosen pairs of people in the network. The curved line corresponding to P() 1 in A models the fact that some LiveJournal friendships are independent of geography: for distances larger than 1,000 km, the background friendship probability begins to dominate geography-based friendships. (B) The same data are plotted, correcting for the background friendship probability: we plot distance versus P() 5.0 106.
- Power law distribution.
RobayetNasim. Privacy-Enhancing Access Control Mechanism in Distributed Online Social Network. KTH Master's thesis, May 2011.
Krzysztof Rzadca, AnwitamanDatta, Sonja Buchegger. Replica Placement in P2P Storage: Complexity and Game Theoretic Analyses. In Proceedings of ICDCS 2010, Genoa, Italy, June 2010.
Sonja Buchegger, Doris Schiöberg, Le Hung Vu, AnwitamanDatta. PeerSoN: P2P Social Networking - Early Experiences and Insights. In Proceedings of SocialNets 2009, The 2nd Workshop on Social Network Systems, Nuernberg, Germany, March 31, 2009.
Doris Schiöberg. A Peer-to-peer Infrastructure for Social Networks. Diplom Thesis, TU Berlin, Berlin, Germany, Dezember 17, 2008.
Sonja Buchegger, AnwitamanDatta. A Case for P2P Infrastructure for Social Networks - Opportunities and Challenges. In Proceedings of WONS 2009, The Sixth International Conference on Wireless On-demand Network Systems and Services, Snowbird, Utah, USA, February 2-4 2009.
Onnela J-P, Arbesman S, Gonza´lez MC, Baraba´si A-L, Christakis NA (2011) Geographic Constraints on Social Network Groups. PLoS ONE 6(4): e16939. oi:10.1371/journal.pone.0016939
Facebook and Online Privacy: Attitudes, Behaviors, and Unintended Consequences
Geographic routing in social networks By David Liben-Nowell*†‡§, Jasmine Novak†, Ravi Kumar†¶, PrabhakarRaghavan¶, and Andrew Tomkins†¶