摘要
【目的/意义】探索学科交叉背景下学科之间的理论方法借鉴的原理,为不同学科研究过程中的相互借鉴和交流提供参考借鉴。【方法/过程】借鉴社会网络的理论和方法,形成关键词网络图,并进行网络图的密度和关键词的中心度分析,比较大数据在情报学和传播学领域下的研究热点的异同并浅析原因【结果/结论】情报学和传播学领域在大数据主题下的研究存在部分关注点的重合,但是在具体的理论和方法的切入上有所差异,而这与学科本身概况,以及所处的外部社会宏观和微观环境及其变化密切相关。学科范畴限定于信息科学,较为具体,研究内容上存在一定程度的交叉,对异同的成因分析较为宏观,需要进行进一步的深入探索。
【Purpose/significance】To provide a reference to the interaction and mutual learning for different discipline.【Method/process】Based on the theory and method of social network,the keywords network diagram is formed,the network diagram density and the keywords centrality are analyzed.The research hotspots of big data in intelligence and communication field are compared and the cause of similarities and differences is analyzed.【Result/conclusion】Under the big data subject,the concerns of the study between two disciplines are partly same,but some specific theory and methods are still different.It is closed related with discipline itself,as well as the external social macro and micro environment of external environment and its changes.The subject category focused on information science,which is more specific.There is a certain degree of intersection in the research content,and the cause analysis is relatively macroscopical,which requires further exploration.
作者
苏玲
娄策群
SU Ling;LOU Ce-qun(School of Information Management,Central China Normal University,Wuhan 430079,China;Hubei Electronic Commerce Research Center,Central China Normal University,Wuhan 430079,China)
出处
《情报科学》
CSSCI
北大核心
2019年第5期31-37,共7页
Information Science
