| 基于子图结构对等的科学家合作网络角色辨识 |
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| 引用本文： | 刘亮,韩传峰,缪莉莉,曹吉鸣,姚晓勃.基于子图结构对等的科学家合作网络角色辨识[J].科学学研究,2013,31(8):1128-1135. |
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| 作者姓名： | 刘亮 韩传峰 缪莉莉 曹吉鸣 姚晓勃 |
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| 作者单位： | 1. 同济大学电子与信息工程学院,上海,201804
2. 同济大学经济与管理学院,上海,200092 |
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| 基金项目： | 国家自然科学基金资助项目，中国博士后科学基金 |
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| 摘 要： | 辨识科学家合作网络的局部结构可以增进对科学家合作行为的理解。基于复杂网络子图搜索和社会网络结构对等性，提出基于子图结构对等的科学家合作网络角色辨识方法，并应用于复杂网络领域科学家合作网络角色分析中。研究界定了六种4节点子图的11种点位，讨论了复杂网络领域科学家合作网络点位特征，并依据科学合作特性将11种点位分为核心、中介和边缘三类角色；分析发现科学家角色种类的多样性，且其种类数与度、介数和接近性等中心性指标呈正相关关系；基于角色相对数量分布将度排名前20位的顶尖科学家分为两个子群体。研究提供了社会合作网络个体行动者角色辨识的定量方法。
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| 关 键 词： | 复杂网络 社会网络 科学家合作网络 子图结构对等 角色 Complex network Social network Scientists’ collaboration network Subgraph structural equivalence Role |
| 收稿时间： | 2012-12-08; |
Subgraph structural equivalence based role identification of scientists' collaboration network |
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| LIU Liang
,
HAN Chuan-feng
,
MIAO Li-li
,
CAO Ji-ming
,
YAO Xiao-bo.Subgraph structural equivalence based role identification of scientists' collaboration network[J].Studies in Science of Science,2013,31(8):1128-1135. |
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| Authors: | LIU Liang HAN Chuan-feng MIAO Li-li CAO Ji-ming YAO Xiao-bo |
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| Abstract: | Identification of the local structure of scientists’ collaboration network can help understand the cooperative behavior of scientists. Based on complex network subgraph and social network structural equivalence, the subgraph structural equivalence based role identification method was proposed, and applied to the role analysis of the collaboration network involving scientists from complex network research. Using 11 kinds of node-positions in the six 4-node subgraphs, the node-position properties of the scientists’ collaboration network were investigated. It was found that the 11 kinds of node-positions can be divided into three categories of roles, i.e., core, intermediary, and edge. The diversity of the roles of scientists was also found, and the number of role types was positively correlated with degree, betweenness and closeness centrality measures. The top 20 scientists (degree ranked) were divided into two subgroups, based on the distributions of the relative number of roles. The study provides a quantitative method for role analysis of individual actors in social cooperation networks. |
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| Keywords: | complex network cocial network scientists' collaboration network subgraph structural equivalence role |
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