Title :
Efficient social graph augmentation schemes for a peer to peer social networking service
Author :
Taehyun Kim ; Sanghwan Lee
Author_Institution :
Sch. of Comput. Sci., Kookmin Univ., Seoul, South Korea
Abstract :
For the last several years, it has been a popular research issue to develop an efficient peer to peer social networking service to protect privacy. One of the main problem in a p2p based SNS is that the data may not be available due to the failure of peers. To alleviate this problem, [1] uses many common neighbors between two neighboring nodes so that the data availability can increase. One critical issue is that the data availability depends on the size of common neighbors. In this paper, we propose three graph augmentation schemes to make the number of common neighbors of every link satisfy the given target size, thus the target availability.
Keywords :
data handling; graph theory; peer-to-peer computing; social networking (online); P2P based SNS; data availability; peer to peer social networking service; social graph augmentation schemes; three graph augmentation; Availability; Educational institutions; Heuristic algorithms; Peer-to-peer computing; Performance evaluation; Privacy; Social network services;
Conference_Titel :
Big Data and Smart Computing (BIGCOMP), 2014 International Conference on
Conference_Location :
Bangkok
DOI :
10.1109/BIGCOMP.2014.6741450