Citing this article

A standard form of citation of this article is:

Pujol, Josep M., Flache, Andreas, Delgado, Jordi and Sang&uuml;esa, Ramon (2005). 'How Can Social Networks Ever Become Complex? Modelling the Emergence of Complex Networks from Local Social Exchanges'. Journal of Artificial Societies and Social Simulation 8(4)12 <http://jasss.soc.surrey.ac.uk/8/4/12.html>.

The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:

@article{pujol2005,
title = \{How Can Social Networks Ever Become Complex? Modelling the Emergence of Complex Networks from Local Social Exchanges},
author = \{Pujol, Josep M. and Flache, Andreas and Delgado, Jordi and Sang\"{u}esa, Ramon},
journal = \{Journal of Artificial Societies and Social Simulation},
ISSN = \{1460-7425},
volume = \{8},
number = \{4},
pages = \{12},
year = \{2005},
URL = \{http://jasss.soc.surrey.ac.uk/8/4/12.html},
keywords = \{Complex Networks, Power-Law, Scale-Free, Small-World, Agent-Based Modeling, Social Exchange Theory, Structural Emergence},
abstract = \{Small-world and power-law network structures have been prominently proposed as models of large networks. However, the assumptions of these models usually lack sociological grounding. We present a computational model grounded in social exchange theory. Agents search attractive exchange partners in a diverse population. Agent use simple decision heuristics, based on imperfect, local information. Computer simulations show that the topological structure of the emergent social network depends heavily upon two sets of conditions, harshness of the exchange game and learning capacities of the agents. Further analysis show that a combination of these conditions affects whether star-like, small-world or power-law structures emerge.},
}

The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.


TY - JOUR
TI - How Can Social Networks Ever Become Complex? Modelling the Emergence of Complex Networks from Local Social Exchanges
AU - Pujol, Josep M.
AU - Flache, Andreas
AU - Delgado, Jordi
AU - Sang&uuml;esa, Ramon
Y1 - 2005/10/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 8
IS - 4
SP - 12
UR - http://jasss.soc.surrey.ac.uk/8/4/12.html
KW - Complex Networks
KW - Power-Law
KW - Scale-Free
KW - Small-World
KW - Agent-Based Modeling
KW - Social Exchange Theory
KW - Structural Emergence
N2 - Small-world and power-law network structures have been prominently proposed as models of large networks. However, the assumptions of these models usually lack sociological grounding. We present a computational model grounded in social exchange theory. Agents search attractive exchange partners in a diverse population. Agent use simple decision heuristics, based on imperfect, local information. Computer simulations show that the topological structure of the emergent social network depends heavily upon two sets of conditions, harshness of the exchange game and learning capacities of the agents. Further analysis show that a combination of these conditions affects whether star-like, small-world or power-law structures emerge.
ER -