DocumentCode :
1942322
Title :
Preferential Urn Model on a Random Network
Author :
Ohkubo, Jun ; Tanaka, Kazuyuki
Author_Institution :
Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai
Volume :
1
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
1153
Lastpage :
1159
Abstract :
A preferential urn model on a random network and a complete graph is studied. The preferential urn model is based on the concept "the rich get richer", and has simple dynamics of ball-transfers. The model is considered as a simple socio-economic system. From analytical treatments, it has been revealed that the preferential urn model on the complete graph gives a fat-tailed occupation distribution in the case with randomness for fitness parameters. In the present paper, using numerical experiments, we show that the model on the random network gives a fat-tailed occupation distribution in the case without randomness for fitness parameters; hence, we would consider that the local ball-transfer process on the random network includes effects corresponding to the randomness for fitness parameters. This simple game would give a valuable insight into various phenomena from socio-economic point of view
Keywords :
game theory; graph theory; random processes; statistical distributions; ball-transfer game; complete graph theory; fat-tailed occupation distribution; fitness parameter; numerical method; preferential urn model; random network; socio-economic system; Application software; Automation; Business; Complex networks; Computational intelligence; Computational modeling; Computer networks; Intelligent agent; Internet; Physics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
Type :
conf
DOI :
10.1109/CIMCA.2005.1631418
Filename :
1631418
Link To Document :
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