Diffusion Process in a Multi-Dimension Networks: Generating, Modelling, and Simulation

Autor: Mathilde Forestier, Judicael Ribault, Youssef Bouanan, Bruno Vallespir, Gregory Zacharewicz
Přispěvatelé: Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Vallespir, Bruno
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Prediction and Inference from Social Networks and Social Media
Prediction and Inference from Social Networks and Social Media, 2017
Lecture Notes in Social Networks ISBN: 9783319510484
Popis: Social networks simulation implies two preconditions: (1) determining a population behavior and (2) simulating the information diffusion within it. A population is defined by a group of interconnected individuals possessing individual and structural behaviors in regard to information sharing. In this paper, the population generated is defined by socio-cultural features, specifically the way that people tend to link together. To this end, the definition of a unique social network is too restrictive: realistically, people are not interlinked by only one relationship. To overcome this limitation, multidimensional social networks (MSN) have been proposed to model social interactions where each dimension represents a category of relationship. The MSN architecture allows not only to better represent the diversity of human’s relations but also to define distinctive rules for the simulation of the message diffusion. We study a model of information spreading on multiplex networks, in which agents interact through multiple interaction channels or with different relationships (layers). The inner idea is that information disseminates differently according to the category of links through which the information propagates. So, this paper presents the modelling of an MSN based on social science and a simulation using propagation rules for each dimension.
Databáze: OpenAIRE