ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Degree Based Seed Optimization to Maximize Information Dissemination in Social Networks

Kandhway, Kundan and Kuri, Joy (2015) Degree Based Seed Optimization to Maximize Information Dissemination in Social Networks. In: 7th International Conference on Communication Systems and Networks, JAN 06-10, 2015, Bangalore, INDIA.

[img] PDF
7TH_Int_Con_Com_Sys_Net_IEEE_Com_2015.pdf - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy
Official URL: http://dx.doi.org/10.1109/COMSNETS.2015.7098713

Abstract

We study the problem of optimal seed selection to maximize the fraction of individuals which has received a message in a social network. We have used the Susceptible-Infected (SI) process to model information epidemics. We formulate an optimization problem under a fixed budget constraint on the resource available to recruit individuals in the network to act as seeds, to achieve the above objective. The seeds are decided based on node degrees. This approach will work even when the exact adjacency matrix of the network is unknown and only degrees of the individuals in the network have been estimated. We study effect of the degree distribution of the network on the optimal seed selection strategy and present results for synthetic scale free and Erdos-Renyi networks, and a real scientific collaboration social network. The optimal strategy is compared with two heuristic strategies that (i) selects seeds uniformly among all degrees and (ii) selects highest degree nodes as seeds. Our results show that for a wide range of model parameters, targeting only the highest degree nodes is not optimal for various networks. This work may be of interest to advertisers and campaigners who are interested in spreading a message in a population connected via social networks.

Item Type: Conference Proceedings
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Depositing User: Id for Latest eprints
Date Deposited: 26 Aug 2016 09:09
Last Modified: 26 Aug 2016 09:09
URI: http://eprints.iisc.ac.in/id/eprint/54537

Actions (login required)

View Item View Item