Information flow in generalized hierarchical networks
Juan A. Almendral,
Luis López and
Miguel A.F. Sanjuán
Physica A: Statistical Mechanics and its Applications, 2003, vol. 324, issue 1, 424-429
Abstract:
The theory of complex networks is used to study different aspects of a topology that we propose to describe the relationships between members of a social group. This model is a generalized hierarchical model since relations between members of the same group are also considered. We derive the existence of a natural limit in the size of a group, and besides, an insight into hierarchical networks is given, which explains why they are so spread despite its global inefficiency.
Keywords: Hierarchical social networks; Information flow; Diminishing returns (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437102019945
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:324:y:2003:i:1:p:424-429
DOI: 10.1016/S0378-4371(02)01994-5
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().