Leaders emergence in artificial populations: the role of networks
Arianna Dal Forno () and
Ugo Merlone
Quality & Quantity: International Journal of Methodology, 2014, vol. 48, issue 4, 1853-1865
Abstract:
Social networks can be viewed as graphs in their basic form, but many networks of interest include positive and negative affect relations among nodes. The structural balance theory originally developed by Heider suggests how nodes may locally modify their relationships to maintain a sort of balance within sets of nodes. We analyze a model of leadership emergence in a social network and extend it by introducing structural balance among members when modeling the attitude toward the leader. This approach takes into account some of the mutual relationships among co-workers, including the adaptation process to achieve the balance. This component helps to explore differently the bounded rationality of agents when interacting, and prove the difficulty of finding a rapid and smooth covergent path to a social stable equilibrium. Copyright Springer Science+Business Media Dordrecht 2014
Keywords: Leadership; Balanced network; Bounded rationality (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11135-013-9856-y (text/html)
Access to full text is restricted to subscribers.
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:spr:qualqt:v:48:y:2014:i:4:p:1853-1865
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135
DOI: 10.1007/s11135-013-9856-y
Access Statistics for this article
Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi
More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().