Theoretical and Computational Studies of Tipping Points and Community Detection in Social Networks (Research Area 4.3.3)

Abstract

The work proposed has been completed with the following major conclusions in the context of an idealized model for social interaction: (1) the Tipping fraction for rapid consensus of committed minority opinion drops from 9.8 percent for complete graphs to 5% for regular degree 4 graphs, and also when the number of initial opinions is large. An important class of 2-Urns models were solved exactly by diagonalization of an infinite family of banded matrices to support this work but is of independent theoretical interests.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2016
Accession Number
AD1101067

Entities

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  • Chjan Lim

Organizations

  • Rensselaer Polytechnic Institute

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  • Energy and Power Technologies

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  • Algorithms
  • Computer Science
  • Department Of Defense
  • Engineering
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  • Information Exchange
  • Mathematical Models
  • Mathematics
  • Military Science
  • Models
  • Network Science
  • Network Topology
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  • Social Networks
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