Authors:
Victor V. Kryssanov
1
;
Frank J. Rinaldo
1
;
Evgeny L. Kuleshov
2
and
Hitoshi Ogawa
3
Affiliations:
1
Faculty of Information Science and Engineering, Ritsumeikan University, Japan
;
2
Far-Eastern National University, Russian Federation
;
3
Ritsumeikan University, Japan
Keyword(s):
Social networks, Power law, Human response time, Consumer behavior.
Related
Ontology
Subjects/Areas/Topics:
Business and Social Applications
;
Data Engineering
;
Databases and Data Security
;
e-Business
;
e-Marketing and Consumer Behaviour
;
Enterprise Information Systems
;
Global Communication Information Systems and Services
;
Methodologies, Processes and Platforms
;
Model-Driven Software Development
;
Social Implications of Modern Communications
;
Society, e-Business and e-Government
;
Software Engineering
;
Telecommunications
;
Web Information Systems and Technologies
;
Workflow Management and Databases
;
Workflow Management Systems
Abstract:
Modeling human dynamics responsible for the formation and evolution of the so-called social networks – structures comprised of individuals or organizations and indicating connectivities existing in a community – is a topic recently attracting a significant research interest. It has been claimed that these dynamics are scale-free in many practically important cases, such as impersonal and personal communication, auctioning in a market, accessing sites on the WWW, etc., and that human response times thus conform to the power law. While a certain amount of progress has recently been achieved in predicting the general response rate of a human population, existing formal theories of human behavior can hardly be found satisfactory to accommodate and comprehensively explain the scaling observed in social networks. In the presented study, a novel system-theoretic modeling approach is proposed and successfully applied to determine important characteristics of a communication network and to an
alyze consumer behavior on the WWW.
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