David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Finding suitable analysis techniques for networks generated from social processes is a difficult task when the population changes over time. Traditional social network analysis measures may not work in such circumstances. It is argued that agent-based social networks should not be constrained by a priori assumptions about the evolved network and/or the analysis techniques. In most agent-based social simulation models, the number of agents remains fixed throughout the simulation; this paper considers the case when this does not hold. Thus the aim of this paper is to demonstrate how the network signatures change when the agents’ population depends upon endogenous social processes. We argue for a much wider attention from the social simulation community in addressing this open research problem.
|Keywords||No keywords specified (fix it)|
No categories specified
(categorize this paper)
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Bruce Edmonds, Agent-Based Social Simulation and its Necessity for Understanding Socially Embedded Phenomena.
Mohamed Abdou & Nigel Gilbert (2009). Modelling the Emergence and Dynamics of Social and Workplace Segregation. Mind and Society 8 (2):173-191.
Ron Sun & Isaac Naveh (2007). Social Institution, Cognition, and Survival: A Cognitive–Social Simulation. Mind and Society 6 (2):115-142.
Nigel Gilbert & Pietro Terna (2000). How to Build and Use Agent-Based Models in Social Science. Mind and Society 1 (1):57-72.
Added to index2009-02-05
Total downloads25 ( #147,105 of 1,789,998 )
Recent downloads (6 months)10 ( #83,046 of 1,789,998 )
How can I increase my downloads?