摘要
以211高校在新浪网的官方认证微博互链网络为研究对象,运用社会网络分析法的中心性指标对高校微博链接网络进行核心性评价并对中心性指标评价效能进行验证,得出结论认为内点度中心性指标的评价在统计上具有现实意义。从链接结构和信息分布视角对网络信息群落进行核心-边缘结构分析,结合内点度中心性及布拉德福分布定律的区域分析法将高校官方微博分为核心、半核心及边缘三部分;运用离散的核心-边缘模型将高校官方微博分为核心、边缘两类。
To evaluate the core advantage of network academic information, firstly, the paper measured the structure of link network of Chinese 211 colleges and universities' official certification microblogs on Sina, utilizing the related theories and methods in Social Network Analysis. And by contrasting the central ity indexes orders with the rank of Chinese Alumni' top 100 universities, the paper analyzed the centrali-ty indexes' applicability on link network core evaluation and concluded that inDegree of nodes is mea ingful. Secondly, the paper tried to analyze the core-periphery of link network based on information distri-bution and link structure perspective. Using zone analysis of Bradford's Law and inDegree index order, the link network of University microblog was divided into "core" , "semi-core" and " periphery". While by discrete Core-Periphery model in social network analysis, the college microblog' s link network was di vided into only "core node" and "non-core node".
出处
《情报科学》
CSSCI
北大核心
2014年第1期119-123,149,共6页
Information Science
基金
中国科学技术信息研究所合作项目
关键词
高校微博
链接网络
中心性分析
核心-边缘结构
信息分布
university microblog
link network
centrality analysis
core-periphery model
informationdistribution