摘要
大数据对相对静态、分散的社区系统构成挑战,助推了社区生态系统的构建。大数据时代的社区生态系统是由多条数据流、生态链交错形成的动态结构网络,包括数据生成系统、数据流动系统、数据处理系统和数据应用系统等,有助于促进社区整体的交互联动、动态平衡发展,能够帮助社区各要素明确其生态位,满足社区居民的多元化需求。大数据时代,社区生态系统的构建应坚持以人为本、服务居民的核心,遵循多元协同、资源共享的指导原则,加强技术支撑、数据驱动的基础建设。
Big data poses challenges to traditional relatively static and decentralized community systems,and promotes the construction of community ecosystem.The community ecosystem in the era of big data is a dynamic structure network formed by multiple data flow ecological chains,involving data generation system,data flow system,data processing system and data application system.In terms of function,it helps to promote interactive interaction and dynamic and balanced development of the entire community,help each element of the community to define the niche,and meet the diverse needs of community residents.Under the environment of big data,the construction of community ecosystem must be based on people-oriented and serve the residents,strengthen the infrastructure construction of technical support and data-driven,and follow the guiding principles of multiple coordination and resource sharing.
作者
张起帆
彭善民
ZHANG Qi-fan;PENG Shan-min(School of Sociology,Shanghai University,Shanghai 200444,China)
出处
《内蒙古社会科学》
CSSCI
北大核心
2021年第3期160-166,共7页
Inner Mongolia Social Sciences
基金
国家社科基金一般项目“组织生态视域下的社区社会组织发展研究”(编号:19BSH138)。
关键词
大数据
社区生态系统
建设路径
Big Data
Community Ecosystem
Construction Path