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Social Network Analysis and Mining
Erschienen in: Social Network Analysis and Mining 4/2011

01.11.2011 | Original Article

A trust-based multi-ego social network model to investigate emotion diffusion

verfasst von: Di Wang, Alistair Sutcliffe, Xiao-Jun Zeng

Erschienen in: Social Network Analysis and Mining | Ausgabe 4/2011

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Abstract

In this paper, we propose a computational model: trust-based multi-ego social network to investigate and understand dynamic emotion diffusion through the whole population and the result of this dynamic diffusion. The key advantage of our proposed computational model is that it is able to answer the questions of ‘why’ some individuals are happier than others and ‘what…if’ question (e.g. what happens if we increase social behaviours in a hard period, such as economic crisis) by changing the parameter setting for the model. From the simulation results, we show that, first emotion diffusion and social support help in increasing the happiness for both individual level and the whole society level; secondly, individuals with high happiness factor (high happiness genes) and more friends (hence more social support) tend to be happier.
Vorheriger Artikel Analyzing and labeling telecom communities using structural properties
Nächster Artikel Social opinion mining for supporting buyers’ complex decision making: exploratory user study and algorithm comparison

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Metadaten
Titel
A trust-based multi-ego social network model to investigate emotion diffusion
verfasst von
Di Wang
Alistair Sutcliffe
Xiao-Jun Zeng
Publikationsdatum
01.11.2011
Verlag
Springer Vienna
Erschienen in
Social Network Analysis and Mining / Ausgabe 4/2011
Print ISSN: 1869-5450
Elektronische ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-011-0019-7

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