Message passing optimization of Harmonic Influence Centrality
Optimization and Control
2014-01-16 v2 Social and Information Networks
Systems and Control
Abstract
This paper proposes a new measure of node centrality in social networks, the Harmonic Influence Centrality, which emerges naturally in the study of social influence over networks. Using an intuitive analogy between social and electrical networks, we introduce a distributed message passing algorithm to compute the Harmonic Influence Centrality of each node. Although its design is based on theoretical results which assume the network to have no cycle, the algorithm can also be successfully applied on general graphs.
Cite
@article{arxiv.1310.0005,
title = {Message passing optimization of Harmonic Influence Centrality},
author = {Luca Vassio and Fabio Fagnani and Paolo Frasca and Asuman Ozdaglar},
journal= {arXiv preprint arXiv:1310.0005},
year = {2014}
}
Comments
11 pages; 10 figures; to appear as a journal publication