摘要
复杂社会网络演化过程研究对于发现社会网络群体的隐含结构和演化规律,以及风险预测具有重要意义。首先梳理了过程挖掘技术的发展脉络,阐述复杂社会网络分析方法与过程挖掘技术相结合在复杂社会网络演化模式研究、组织结构发现中的应用现状,结合社会网络分析方法和大数据技术,运用服务工程思想,进而从社会和资源维度综述社会网络跨组织业务过程发现、动态社会网络演化过程发现、角色挖掘与服务挖掘等技术,指出现有复杂社会网络过程挖掘研究面对大数据质量和跨组织异构等研究方面的不足,对大规模社会网络过程挖掘领域的研究难点和发展趋势进行了讨论。
Research on complex evolving social networks is fundamentally important for discovering potential structure and evolving principle of social networks community,and risk prediction.First,this paper surveys the state of the art of process mining,and analyzes the status of complex social network evolving pattern and organization discovery based on social networks analysis and process mining technology.Then,big-data technology and service engineering are used to explain process mining of social network inter-organization,evolving of social networks,role mining and service mining,from the perspective of social and resource.In addition,some defects are pointed out on quality of big data and heterogeneous in inter-organization.Finally,some challenges and potential future researches are discussed.
作者
黄黎
谭文安
HUANG Li;TAN Wen-an(School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;School of Information and Electromechanical Engineering, Jiangsu Open University, Nanjing 210017, China;School of Computer and Information Engineering, Shanghai Second Polytechnic University, Shanghai 210209, China)
出处
《计算机工程与应用》
CSCD
北大核心
2017年第16期18-28,49,共12页
Computer Engineering and Applications
基金
国家自然科学基金(No.61672022)
江苏省高校自然科学基金(No.15KJB520005)
关键词
社会网络
网络演化
过程挖掘
服务挖掘
social networks
network evolution
process mining
service mining
