Estimating user interaction strength in distributed online networks

Estimating user interaction strength in distributed online networks

Jia, L. (TU Delft Data-Intensive Systems)
Schoon, P.B. (TU Delft Data-Intensive Systems)
Pouwelse, J.A. (TU Delft Data-Intensive Systems)
Epema, D.H.J. (TU Delft Data-Intensive Systems)

2015

User interactions are indispensable for any online network to thrive, especially for BitTorrent‐like and Web real‐time communication‐based distributed online networks that rely on users' collective contributions instead of the help of central servers. User interactions provide fine‐grained information for many applications, such as security enhancement and cooperation promotion. To date, several schemes for estimating user interaction strength in centralized online networks have been proposed. In contrast, we present design, deployment, and analysis of UISE for user interaction strength estimation in distributed online networks. Among the strong points of UISE is that it captures both direct and indirect user interactions, and that it scales with only partial information dissemination. We apply UISE to devise the first distributed scheme for online time estimation and we implement it into Tribler, a distributed online network for media and social applications like file sharing, streaming, and voting. We demonstrate the accuracy and the scalability of UISE with different information dissemination protocols and user behaviors using simulations, emulations, and a real‐world deployment.

user interaction
interaction graph
distributed online networks

http://resolver.tudelft.nl/uuid:9bb34578-e29f-4b33-be09-2d02a6ba485c

https://doi.org/10.1002/cpe.3575

1532-0626

Concurrency and Computation: Practice & Experience, 27 (17), 5311-5331

Institutional Repository

journal article

© 2015 L. Jia, P.B. Schoon, J.A. Pouwelse, D.H.J. Epema