Message Passing Optimization of Harmonic Influence Centrality
Author(s)Vassio, Luca; Fagnani, Fabio; Frasca, Paolo; Ozdaglar, Asuman E.
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This paper proposes a new measure of node centrality in social networks, the Harmonic Influence Centrality (HIC), 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 HIC 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.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
IEEE Transactions on Control of Network Systems
Institute of Electrical and Electronics Engineers (IEEE)
Vassio, Luca, Fabio Fagnani, Paolo Frasca, and Asuman Ozdaglar. “Message Passing Optimization of Harmonic Influence Centrality.” IEEE Trans. Control Netw. Syst. 1, no. 1 (March 2014): 109–120.