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A network-based threshold model for the spreading of fads in society and markets
Umeå University, Faculty of Science and Technology, Department of Physics.ORCID iD: 0000-0002-1543-7358
Umeå University, Faculty of Science and Technology, Department of Physics.ORCID iD: 0000-0003-2156-1096
2005 (English)In: Advances in Complex Systems, ISSN 0219-5259, Vol. 8, no 2-3, 261-273 p.Article in journal (Refereed) Published
Abstract [en]

We investigate the behavior of a threshold model for the spreading of fads and similar phenomena in society. The model is giving the fad dynamics and is intended to be confined to an underlying network structure. We investigate the whole parameter space of the fad dynamics on three types of network models. The dynamics we discover is rich and highly dependent on the underlying network structure. For some range of the parameter space, for all types of substrate networks, there are a great variety of sizes and life-lengths of the fads -- what one see in real-world social and economical systems.

Place, publisher, year, edition, pages
Singapore: World Scientific Pub. Co. , 2005. Vol. 8, no 2-3, 261-273 p.
URN: urn:nbn:se:umu:diva-12405DOI: 10.1142/S0219525905000439OAI: diva2:152076
Available from: 2007-04-03 Created: 2007-04-03 Last updated: 2015-05-06Bibliographically approved
In thesis
1. Complex patterns: from physical to social interactions
Open this publication in new window or tab >>Complex patterns: from physical to social interactions
2006 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Interactions are what gives us the knowledge of the world around us. Interactions on all levels may fundamentally be seen as an exchange of information and a possible response of the same. Whether it is an electron in an electrical field or a handsome dude in a bar responding to a flirtation---interactions make things happen. In this sense we can see that objects without the capability of interacting with each other also are invisible to each other. Chains of pairwise interacting entities can serve as mediators of indirect interactions between objects. Nonetheless, in the limit of no interactions, we get into a philosophical debate whether we actually may consider anything to exist since it can not be detected in any way. Interactions between matter tend to be organized and show a hierarchical structure in which smaller sub-systems can be seen as parts of a bigger system, which in turn might be a smaller part of an even bigger system. This is reflected by the fact that we have sciences that successfully study specific interactions between objects or matter---physics, chemistry, biology, ecology, sociology,... What happens in a situation where all length scales are important? How does the structure of the underlying network of interactions affect the dynamical properties of a system? What network structures do we find and how are they created? This thesis is a physicist's view of collective dynamics, from superconductors to social systems and navigation in city street networks.

Place, publisher, year, edition, pages
Umeå: Fysik, 2006. 60 p.
Complex networks, collective dynamics, statistical physics, random graphs
National Category
Other Physics Topics
urn:nbn:se:umu:diva-801 (URN)91-7264-090-1 (ISBN)
Public defence
2006-06-02, N430, Naturvetarhuset, Umeå Universitet, Umeå, 13:15 (English)
Available from: 2006-05-12 Created: 2006-05-12 Last updated: 2011-04-26Bibliographically approved

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Grönlund, AndreasHolme, Petter
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