多样性是描述社会网络中节点行为的一个重要特性,通过对典型的大规模Web社会网络DBLP数据源提取,构建了一个大型SCN(科研合作网络),针对该网络节点间的关系进行建模与量化分析,利用节点度的累积分布、相关性、结构洞、聚类系数等网络结构特征参数,实证分析得出真实社会网络中的节点间关系具有多样化的特性,其多样性指标分布呈指数或高斯方式的衰减,具有结构洞特性的节点(作者)比其他节点更具竞争力,关系多样性强的节点倾向于彼此之间保持的联系。因此,对刻画社会网络中节点重要性具有重要意义,对实体搜索排名、广告营销等具有较好的应用价值。
Diversity is one of the important perspectives to characterize the behavior of individuals in social networks.Through the extraction of the typical and massive web social network data sources DBLP,the large scale SCN(science collaboration network) was built.It is shown that social relations in SCN are diverse.The distribution of diversity indices tends to decay in an exponential or Gaussian way.The strong nodes(author) of the diversity of social relations tend to keep in touch with each other and be more competitive.Therefore,the research has great significance in showing the importance of the nodes of social network,and plays an important role in the application value of entity researching ranking,advertising marketing and so on.