Gossipping Until You Get Tired of It: A Network Model of the Adaptive Exchange of Rumors in a Small Scale Social Environment

Karley Dionne, Maya Vermeer, Jan Treur*

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Abstract

The spread of rumors, otherwise known as gossiping, is an inevitable part of life for most people. Therefore, it is important to understand the way that information is actually spread through social environments of smaller proportions. This spread is modeled using a Higher-Order Adaptation Social Network, utilizing states for “people” and their boredom. Representation states for their connection weights and their speed factors are also used to represent the adaptivity of the model. Different scenarios are modeled as real-life examples to better illustrate how a rumor is spread when exposed to different groups of people. The model shows how gossip is shared whenever a new rumor presents itself, and how the cyclic nature of social environments contributes to the spread itself.

Original languageEnglish
Title of host publicationBiologically Inspired Cognitive Architectures 2023
Subtitle of host publicationProceedings of the 14th Annual Meeting of the BICA Society
EditorsAlexei V. Samsonovich, Tingting Liu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages294-311
Number of pages18
ISBN (Electronic)9783031503818
ISBN (Print)9783031503801, 9783031503832
DOIs
Publication statusPublished - 2024
Event14th Biologically Inspired Cognitive Architectures Meeting, BICA 2023 - Ningbo, China
Duration: 13 Oct 202315 Oct 2023

Publication series

NameStudies in Computational Intelligence
PublisherSpringer
Volume1130 LNCS
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503
NameBICA: Biologically Inspired Cognitive Architectures Meeting
PublisherSpringer
Volume2023

Conference

Conference14th Biologically Inspired Cognitive Architectures Meeting, BICA 2023
Country/TerritoryChina
CityNingbo
Period13/10/2315/10/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Gossip
  • Modeling social networks
  • Rumors

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