Information diffusion as a mechanism for natural evolution of social networks

Kyle Bahr, Masami Nakagawa

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

Abstract

The social license to operate is an emergent convergence of opinion, the production and durability of which is highly interdependent with the structure of the stakeholder network. This structure evolves over time as new links are formed and old links decay. In this paper, we propose a social license model in which agent interactions lead to the evolution of network structures, which are then classified according to observed stakeholder networks.

Original languageEnglish
Title of host publicationSocial Simulation for a Digital Society- Applications and Innovations in Computational Social Science, SSC 2017
EditorsDiane Payne, Pablo Lucas, Johan A. Elkink, Nial Friel, Adrian Ottewill, Thomas U. Grund, Tamara Hochstrasser
PublisherSpringer
Pages51-66
Number of pages16
ISBN (Print)9783030302979
DOIs
Publication statusPublished - Jan 1 2019
EventSocial Simulation Conference, SSC 2017 - Dublin, Ireland
Duration: Sep 25 2017Sep 29 2017

Publication series

NameSpringer Proceedings in Complexity
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692

Conference

ConferenceSocial Simulation Conference, SSC 2017
CountryIreland
CityDublin
Period9/25/179/29/17

All Science Journal Classification (ASJC) codes

  • Applied Mathematics
  • Modelling and Simulation
  • Computer Science Applications

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  • Cite this

    Bahr, K., & Nakagawa, M. (2019). Information diffusion as a mechanism for natural evolution of social networks. In D. Payne, P. Lucas, J. A. Elkink, N. Friel, A. Ottewill, T. U. Grund, & T. Hochstrasser (Eds.), Social Simulation for a Digital Society- Applications and Innovations in Computational Social Science, SSC 2017 (pp. 51-66). (Springer Proceedings in Complexity). Springer. https://doi.org/10.1007/978-3-030-30298-6_5