摘要
科学合作网络中作者的影响力通常是利用节点的度中心度、中介中心度等指标来测度,或者是利用节点对合作网络连通性的破坏程度来进行衡量。这类测度方法指标单一,未综合考虑多项指标对作者影响力的影响,因而不能完全体现节点在合作网络中影响力的强弱。为避免人为因素对评价过程的干扰,文章采用熵权法确定指标权重,提出基于熵权的灰色关联分析法测度作者影响力,最后以ACM SIGKDD合作网络为例,测度和分析了科学合作网络中具有较强影响力的节点。
The author's influence in the scientific collaboration network is generally measured by the use of the indexes such as degree centrality and intermediate centrality,or by the use of the damage extent of the node to the collaboration network connectivity.The problems of these measurement methods is that only one kind of indexes is used,the influence of multiple indexes on the authors haven't been considered,so they can't reflect the influence of the node in the collaboration network completely.In order to avoid the interference of human factors in the evaluation process,we use the weighted entropy method to determine the weight of the indexes,propose to use the grey relational analysis method based on weighted entropy to measure the author's influence,and finally measure and analyze the nodes with relatively powerful influence in the scientific collaboration network by taking ACM SIGKDD collaboration network for example.
出处
《情报理论与实践》
CSSCI
北大核心
2013年第6期85-88,67,共5页
Information Studies:Theory & Application
关键词
科学合作网络
学术影响力
熵权
灰色关联分析
scientific collaboration networks
academic influence
weighted entropy
grey relational analysis