Improving the Robustness of Online Social Networks: A Simulation Approach of Network Interventions

Casiraghi, Giona and Schweitzer, Frank (2020) Improving the Robustness of Online Social Networks: A Simulation Approach of Network Interventions. Frontiers in Robotics and AI, 7. ISSN 2296-9144

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Abstract

Online social networks (OSN) are prime examples of socio-technical systems in which individuals interact via a technical platform. OSN are very volatile because users enter and exit and frequently change their interactions. This makes the robustness of such systems difficult to measure and to control. To quantify robustness, we propose a coreness value obtained from the directed interaction network. We study the emergence of large drop-out cascades of users leaving the OSN by means of an agent-based model. For agents, we define a utility function that depends on their relative reputation and their costs for interactions. The decision of agents to leave the OSN depends on this utility. Our aim is to prevent drop-out cascades by influencing specific agents with low utility. We identify strategies to control agents in the core and the periphery of the OSN such that drop-out cascades are significantly reduced, and the robustness of the OSN is increased.

Item Type: Article
Subjects: Library Keep > Mathematical Science
Depositing User: Unnamed user with email support@librarykeep.com
Date Deposited: 30 Jun 2023 04:41
Last Modified: 07 Nov 2023 05:40
URI: http://archive.jibiology.com/id/eprint/1284

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