Browse wiki

Jump to: navigation, search
Understanding the wikipedia phenomenon: A case for agent based modeling
Abstract Wikipedia, the user led and monitored "opeWikipedia, the user led and monitored "open" encyclopedia has been an undoubted popular success. Of particular interest are the diffusion process of the innovation throughout the "contributor" community, and the question as to why unpaid, often well qualified, volunteers contribute content and time. Explanations for 'altruistic' contributor behavior based on the positivistic paradigm, and with roots in organizational psychology, while heavily researched and documented, have not been readily transferable to quantitative models of sufficient predictive value, in relation to Wikipedia's metrics. For despite the wide range of types, ages, locations and motivations of its contributors and seekers, investigators on Wikipedia have identified certain definite and often surprisingly universal trends ('laws') in its overall growth curve, organization structure, community and article formation. Models based on aggregated top-level relationships between entities on and around wikipedia suffer from assuming relationships between these entities as inputs to the wikipedia process, rather than emergent phenomena that evolve and change with the output. We argue for an Agent Based Model of Wikipedia, with the end objective of our work being a tool with diagnostic and/or prescriptive value for decision makers in organizations using or planning to use Knowledge Management Systems. Copyright 2008 ACM.ge Management Systems. Copyright 2008 ACM.
Abstractsub Wikipedia, the user led and monitored "opeWikipedia, the user led and monitored "open" encyclopedia has been an undoubted popular success. Of particular interest are the diffusion process of the innovation throughout the "contributor" community, and the question as to why unpaid, often well qualified, volunteers contribute content and time. Explanations for 'altruistic' contributor behavior based on the positivistic paradigm, and with roots in organizational psychology, while heavily researched and documented, have not been readily transferable to quantitative models of sufficient predictive value, in relation to Wikipedia's metrics. For despite the wide range of types, ages, locations and motivations of its contributors and seekers, investigators on Wikipedia have identified certain definite and often surprisingly universal trends ('laws') in its overall growth curve, organization structure, community and article formation. Models based on aggregated top-level relationships between entities on and around wikipedia suffer from assuming relationships between these entities as inputs to the wikipedia process, rather than emergent phenomena that evolve and change with the output. We argue for an Agent Based Model of Wikipedia, with the end objective of our work being a tool with diagnostic and/or prescriptive value for decision makers in organizations using or planning to use Knowledge Management Systems. Copyright 2008 ACM.ge Management Systems. Copyright 2008 ACM.
Bibtextype inproceedings  +
Doi 10.1145/1458550.1458565  +
Has author Myshkin Ingawale +
Has extra keyword Agent based modeling + , Agent-based model + , Behavior-based + , Collaboration + , Decision makers + , Diffusion process + , Emergent phenomenon + , Growth curves + , Knowledge management system + , Organization structures + , Organizational psychology + , Predictive values + , Quantitative models + , Relationships between entities + , Wikipedia + , Knowledge management + , Planning + , Multi agent systems +
Has keyword Agent based modeling + , Collaboration + , Knowledge management + , Multi-agent systems + , Wikipedia +
Isbn 9781605583877  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 81–84  +
Published in International Conference on Information and Knowledge Management, Proceedings +
Title Understanding the wikipedia phenomenon: A case for agent based modeling +
Type conference paper  +
Year 2008 +
Creation dateThis property is a special property in this wiki. 8 November 2014 06:44:44  +
Categories Duplicate publication  + , Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 8 November 2014 06:44:44  +
DateThis property is a special property in this wiki. 2008  +
hide properties that link here 
Understanding the wikipedia phenomenon: A case for agent based modeling + Title
 

 

Enter the name of the page to start browsing from.