On the linear threshold model for diffusion of innovations in multiplex social networks

Yaofeng Desmond Zhong, Vaibhav Srivastava, Naomi Ehrich Leonard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Diffusion of innovations in social networks has been studied using the linear threshold model. These studies assume monoplex networks, where all connections are treated equally. To reflect the influence of different kinds of connections within social groups, we consider multiplex networks, which allow multiple layers of connections for a given set of nodes. We extend the linear threshold model to multiplex networks by designing protocols that combine signals from different layers. To analyze these protocols, we generalize the definition of live-edge models and reachability to the duplex setting. We introduce the live-edge tree and with it an algorithm to compute cascade centrality of individual nodes in a duplex network.

Original languageEnglish (US)
Title of host publication2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2593-2598
Number of pages6
ISBN (Electronic)9781509028733
DOIs
StatePublished - Jan 18 2018
Event56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia
Duration: Dec 12 2017Dec 15 2017

Publication series

Name2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Volume2018-January

Other

Other56th IEEE Annual Conference on Decision and Control, CDC 2017
CountryAustralia
CityMelbourne
Period12/12/1712/15/17

All Science Journal Classification (ASJC) codes

  • Decision Sciences (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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