Information diffusion as a mechanism for natural evolution of social networks

Kyle Bahr; Masami Nakagawa

doi:10.1007/978-3-030-30298-6_5

Information diffusion as a mechanism for natural evolution of social networks

Kyle Bahr, Masami Nakagawa

Energy Resources Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Social Simulation for a Digital Society- Applications and Innovations in Computational Social Science, SSC 2017
Editors	Diane Payne, Pablo Lucas, Johan A. Elkink, Nial Friel, Adrian Ottewill, Thomas U. Grund, Tamara Hochstrasser
Publisher	Springer
Pages	51-66
Number of pages	16
ISBN (Print)	9783030302979
DOIs	https://doi.org/10.1007/978-3-030-30298-6_5
Publication status	Published - 2019
Event	Social Simulation Conference, SSC 2017 - Dublin, Ireland Duration: Sept 25 2017 → Sept 29 2017

Publication series

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

Conference

Conference	Social Simulation Conference, SSC 2017
Country/Territory	Ireland
City	Dublin
Period	9/25/17 → 9/29/17

All Science Journal Classification (ASJC) codes

Applied Mathematics
Modelling and Simulation
Computer Science Applications

Access to Document

10.1007/978-3-030-30298-6_5

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

Information diffusion as a mechanism for natural evolution of social networks. / Bahr, Kyle; Nakagawa, Masami.

Social Simulation for a Digital Society- Applications and Innovations in Computational Social Science, SSC 2017. ed. / Diane Payne; Pablo Lucas; Johan A. Elkink; Nial Friel; Adrian Ottewill; Thomas U. Grund; Tamara Hochstrasser. Springer, 2019. p. 51-66 (Springer Proceedings in Complexity).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Bahr, K & Nakagawa, M 2019, Information diffusion as a mechanism for natural evolution of social networks. in D Payne, P Lucas, JA Elkink, N Friel, A Ottewill, TU Grund & T Hochstrasser (eds), Social Simulation for a Digital Society- Applications and Innovations in Computational Social Science, SSC 2017. Springer Proceedings in Complexity, Springer, pp. 51-66, Social Simulation Conference, SSC 2017, Dublin, Ireland, 9/25/17. https://doi.org/10.1007/978-3-030-30298-6_5

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

Bahr, Kyle ; Nakagawa, Masami. / Information diffusion as a mechanism for natural evolution of social networks. Social Simulation for a Digital Society- Applications and Innovations in Computational Social Science, SSC 2017. editor / Diane Payne ; Pablo Lucas ; Johan A. Elkink ; Nial Friel ; Adrian Ottewill ; Thomas U. Grund ; Tamara Hochstrasser. Springer, 2019. pp. 51-66 (Springer Proceedings in Complexity).

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Information diffusion as a mechanism for natural evolution of social networks

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