@article {pub4427,
	title = {Systematic Evaluation of LibreSocial - a Peer-to-Peer Framework for Online Social Networks},
	author = {Newton Masinde AND Liat  Khitman AND Iakov Dlikman AND Kalman Gy{\"o}rgy Graffi},
	year = {2020},
	month = {August},
	abstract = {Peer-to-peer (P2P) networks have been under investigation for several years now, with many novel mechanisms proposed as is evidenced by articles available. Much of the research has focused on showing how the proposed mechanism affects the system performance. In addition, several applications have been proposed to harness the benefits of the P2P networks. Of these applications, online social networks (OSNs) have raised much interest particularly because of the scalability and privacy concerns with centralized OSNs, hence several proposals are in existence. However, accompanying studies on the overall performance of the P2P network under the weight of the OSN applications outside simulations are very few, if any. In this paper, the aim is to undertake a systematic evaluation of the performance of a P2P framework for online social networks called LibreSocial. Benchmark tests are designed, taking into account the random behavior of users, effects of churn on system stability and effect of replication factor. We manage to run benchmark tests for up to 2000 nodes and show the performance against costs of the system in general. From the results it is evident that LibreSocial provides a performance that is up to par with current user needs.},
	publisher = {MDPI},
	journal = {MDPI Future Internet - Special Issue "Security and Privacy in Social Networks and Solutions"},
	volume = {12},
	number = {140},
	pages = {1--26},
	address = {https://www.mdpi.com/1999-5903/12/9/140}
}