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Networking the seceder model: group formation in social and economic systems
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
2004 (English)In: Physical Review E. Statistical, Nonlinear, and Soft Matter Physics: Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, ISSN 1063-651X, E-ISSN 1095-3787, Vol. 70, no 3, 036108- p.Article in journal (Refereed) Published
Abstract [en]

The seceder model illustrates how the desire to be different from the average can lead to formation of groups in a population. We turn the original, agent based, seceder model into a model of network evolution. We find that the structural characteristics of our model closely match empirical social networks. Statistics for the dynamics of group formation are also given. Extensions of the model to networks of companies are also discussed.

Place, publisher, year, edition, pages
2004. Vol. 70, no 3, 036108- p.
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:umu:diva-5186DOI: 10.1103/PhysRevE.70.036108OAI: oai:DiVA.org:umu-5186DiVA: diva2:144598
Available from: 2006-05-12 Created: 2006-05-12 Last updated: 2017-12-14Bibliographically 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.
Keyword
Complex networks, collective dynamics, statistical physics, random graphs
National Category
Other Physics Topics
Identifiers
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)
Opponent
Supervisors
Available from: 2006-05-12 Created: 2006-05-12 Last updated: 2011-04-26Bibliographically approved
2. Form and function of complex networks
Open this publication in new window or tab >>Form and function of complex networks
2004 (English)Doctoral thesis, comprehensive summary (Other academic)
Alternative title[sv]
Form och funktion i komplexa nätverk
Abstract [en]

Networks are all around us, all the time. From the biochemistry of our cells to the web of friendships across the planet. From the circuitry of modern electronics to chains of historical events. A network is the result of the forces that shaped it. Thus the principles of network formation can be, to some extent, deciphered from the network itself. All such information comprises the structure of the network. The study of network structure is the core of modern network science. This thesis centres around three aspects of network structure: What kinds of network structures are there and how can they be measured? How can we build models for network formation that give the structure of networks in the real world? How does the network structure affect dynamical systems confined to the networks? These questions are discussed using a variety of statistical, analytical and modelling techniques developed by physicists, mathematicians, biologists, chemists, psychologists, sociologists and anthropologists. My own research touches all three questions. In this thesis I present works trying to answer: What is the best way to protect a network against sinister attacks? How do groups form in friendship networks? Where do traffic jams appear in a communication network? How is cellular metabolism organised? How do Swedes flirt on the Internet? . . . and many other questions.

Place, publisher, year, edition, pages
Umeå: Umeå universitet, 2004. 104 p.
Keyword
Theoretical physics, complex networks, complexity, small-world networks, scale-free networks, graph theory, Teoretisk fysik
National Category
Physical Sciences
Research subject
Theoretical Physics
Identifiers
urn:nbn:se:umu:diva-222 (URN)91-7305-629-4 (ISBN)
Public defence
2004-05-07, N430, Naturvetarhuset, Umeå Universitet, Umeå, 14:00
Opponent
Supervisors
Available from: 2004-03-26 Created: 2004-03-26 Last updated: 2013-09-06Bibliographically approved

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