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Computational and Mathematical Organization Theory
中科院4区 JCR:Q4 JCR:Q3 SCIE SSCI EI PubMed JST
Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of new theories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques.
- 主办单位： SPRINGER
- 出版地区： DORDRECHT
- 出版周期： 季刊
- 别名： COMPUT MATH ORGAN TH;Comput. Math. Organ. Theory;Computational & Mathematical Organization Theory;计算与数学组织理论;COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY
- 国际标准连续出版物号/电子版： ISSN 1381-298X / EISSN 1572-9346
- 创刊时间： 1995年
热门主题：
Social NetworksSocial SimulationAgent-Based SimulationComputational ModelBusiness MediaSocial Network AnalysisSocial NetworkNetwork AnalysisOrganization TheoryComputational Organization TheorySocial MediaSimulation ModelModeling and SimulationCognitive ArchitectureNetwork StructureDecision MakingDynamic NetworkSpecial IssueSimulation ResultsOrganizational Learning
期刊信息
- 主办单位：SPRINGER
- 主 编：Kathleen M. Carley
- 地 址： DORDRECHT
期刊简介
Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of new theories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques.