Journal: Springer Proceedings in Complexity

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Springer

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2213-8684
2213-8692

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2014 - 201922020 - 20243
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Publications 1 - 5 of 5
  • Coupling agent-based models and argumentation framework to simulate opinion dynamics: application to vegetarian diet diffusion
    Item type: Conference Paper
    Taillandier, Patrick; Salliou, Nicolas; Thomopoulos, Rallou (2021)
    Springer Proceedings in Complexity ~ Advances in Social Simulation
    Agent-based simulation has been extensively used to study opinion dynamics. However, the vast majority of the existing models have been limited to extremely abstract and simplified representations of the diffusion process, which impairs the realism of the simulations and disables the understanding of the reasons for the shift of an actor’s opinion. This paper presents a generic framework implemented in the GAMA platform allowing to explicitly represent exchanges of arguments between actors in a context of an opinion dynamic model. More precisely, we propose to formalize the inner attitude towards an opinion of each agent as an argumentation graph and give them the possibility to share arguments with other agents. We present an application of the framework to study the evolution of the vegetarian diet at a city level.
  • The Social Dimension of Information Ranking
    Item type: Book Chapter
    Scholtes, Ingo; Pfitzner, René; Schweitzer, Frank (2014)
    Springer Proceedings in Complexity ~ Socioinformatics - The Social Impact of Interactions between Humans and IT
  • The Grand Challenge of Helping People Agree and How We Might Go About Collectively Tackling It
    Item type: Conference Paper
    Edmonds, Bruce; Carpentras, Dino; Chattoe-Brown, Edmund (2024)
    Springer Proceedings in Complexity ~ Advances in Social Simulation
    The world needs agreement to address threats such as climate change. However, people seem to struggle in reaching an agreement, even when all concerned desire such goal. Social simulations have explored a number of different mechanisms relevant to such processes, including those about: opinion dynamics, negotiation, social identity, collective intelligence and voting models. However, these models tend to: (1) stick to their own silos so the connections between strands are only explored sporadically, (2) not engage sufficiently with real-world cases/data to be useful, and (3) avoid modelling transitions between different “modes” of interaction. We sketch some elements of a programme to bring these kinds of modelling together to address this grand challenge. We call upon the social simulation community to coordinate, with the ultimate goal of finding ways to facilitate such agreement processes, before it is too late.
  • Expressivity of Geometric Inhomogeneous Random Graphs-Metric and Non-metric
    Item type: Conference Paper
    Dayan, Benjamin; Kaufmann, Marc; Schaller, Ulysse (2024)
    Springer Proceedings in Complexity ~ Complex Networks XV. CompleNet-Live 2024
    Recently there has been increased interest in fitting generative graph models to real-world networks. In particular, Blasius et al. have proposed a framework for systematic evaluation of the expressivity of random graph models. We extend this framework to Geometric Inhomogeneous Random Graphs (GIRGs). This includes a family of graphs induced by non-metric distance functions which allow capturing more complex models of partial similarity between nodes as a basis of connection-as well as homogeneous and non-homogeneous feature spaces. As part of the extension, we develop schemes for estimating the multiplicative constant and the long-range parameter in the connection probability. Moreover, we devise an algorithm for sampling Minimum-Component-Distance GIRGs whose runtime is linear both in the number of vertices and in the dimension of the underlying geometric space. Our results provide evidence that GIRGs are more realistic candidates with respect to various graph features such as closeness centrality, betweenness centrality, local clustering coefficient, and graph effective diameter, while they face difficulties to replicate higher variance and more extreme values of graph statistics observed in real-world networks.
  • Social Network Analysis in the Enterprise
    Item type: Book Chapter
    Burger, Valentin; Hock, David; Scholtes, Ingo; et al. (2014)
    Springer Proceedings in Complexity ~ Socioinformatics - The Social Impact of Interactions between Humans and IT
Publications 1 - 5 of 5