Paper Info
Title
Self-Organization Patterns in Wasp and Open Source Communities
Abstract
To understand a software development community's complex dynamics, we must view its organization as a network of interacting agents guided by goals and constraints. In addition to particular features, these communities display overall organization patterns similar to those seen in other organization types, including both natural and artificial systems. Examining both software developers and social insects as agents interacting in a complex network reveals common statistical organization patterns. Studying these patterns shows simple self-organizing processes that lead to hierarchy formation in both wasp colonies and open-source communities. This discovery further validates simple models of wasp hierarchy formation based on individual learning. It also reveals that different reinforcement mechanisms clearly distinguish a few core members from the rest of the open-source community.This article is part of a special issue on Self-Managing Systems.
Year
DOI
Venue
2006
10.1109/MIS.2006.34
IEEE Intelligent Systems
Keywords
Field
DocType
open source communities,common statistical organization pattern,interacting agent,open-source community,self-organization patterns,hierarchy formation,overall organization pattern,complex dynamic,simple self-organizing process,organization type,software developer,complex network,social networks,interaction network,public domain software,software agents,social network,social organization,self organization
Social analysis,Social network,Computer science,Social organization,Self-organization,Software agent,Knowledge management,Hierarchy,Information sharing,Open-source software development
Journal
Volume
Issue
ISSN
21
2
1541-1672
Citations 
PageRank 
References 
25
1.63
1
Authors
5
Name
Order
Citations
PageRank
Sergi Valverde122824.13
Guy Theraulaz22186223.72
Jacques Gautrais330729.64
Vincent Fourcassié4302.53
Ricard V. Sole5251.96