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01381 am a22002173u 4500 |
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100980 |
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|a dc
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|a Vassio, Luca
|e author
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|a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
|e contributor
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|a Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
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|a Ozdaglar, Asuman E.
|e contributor
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|a Fagnani, Fabio
|e author
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|a Frasca, Paolo
|e author
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|a Ozdaglar, Asuman E.
|e author
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|a Message Passing Optimization of Harmonic Influence Centrality
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|b Institute of Electrical and Electronics Engineers (IEEE),
|c 2016-01-25T17:51:20Z.
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| 856 |
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|z Get fulltext
|u http://hdl.handle.net/1721.1/100980
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|a 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.
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| 546 |
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|a en_US
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|a Article
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|t IEEE Transactions on Control of Network Systems
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