You are here

Expertise Discovery in Decentralised Online Social Networks

Authors: 

Safina Showkat Ara, Subhasis Thakur, John Breslin

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Distributed Social Networks (DSNs) are the solution to the privacy and security problems of online social networks. In DSN, a user controls their own data as it chooses personal storage for its social network data. In absence of a centralized entity with access to all social network data, information retrieval becomes difficult in DSNs. In this paper we propose to use crowd sourcing for information retrieval in a DSN. We analyze a popular information retrieval problem called expert search in a social network. In this paper, we present an algorithm for such a crowd sourcing based search process which includes solution for (a) the worker selection problem (b) the task selection problem and (c) the reward distribution problem. Using experimental evaluation, we show that, the search algorithms proposed in this paper can be as efficient as a greedy search algorithm with access to entire social network information.
Conference Name: 
International Conference on Advances in Social Networks Analysis and Mining 2017
Proceedings: 
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017
Digital Object Identifer (DOI): 
10.1145/3110025.3110048
Publication Date: 
03/08/2017
Pages: 
6
Conference Location: 
Australia
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
Yes
Publication document: