摘要
社交网络和微博的网络特征除具有传统无标度网络的典型特征外,还存在其他不容忽视的特征,现有模型均不能对此进行准确描述。在比较分析网络数据的基础上,提出一种混合模型对类社交网络的形成和演化特征进行描述,并建立了基于该模型的平均场方程,方程的解显示出该模型的度分布服从偏移和拉伸后的幂律。仿真结果表明,作者提出的模型模型能描述出社交网络的综合特征。对包括本文模型在内的几种模型进行了比较,并对各种模型间出现特征差别的原因进行了分析。
Besides the typical characteristics of scale-free network, the indispensable features of social networking services and microb- log can not be described by existing models completely and accurately. Based on comparison and analysis of network data, a hybrid model was put forward to describe the features of formation and evolution of generalized social network. Average-field equations were constructed, and its solution showed that the degree distribution follows the translated and stretched power-law. The simulation results showed that the model can describe the overall characteristics of social network. Finally, several models, including this model, were compared, and reasons were given for the differences of features among the models.
出处
《四川大学学报（工程科学版）》
EI
CAS
CSCD
北大核心
2012年第4期140-144,共5页
Journal of Sichuan University (Engineering Science Edition)
基金
国家自然科学基金资助项目(60873246)
中国信息安全测评中心资助项目
关键词
复杂网络
社交网络
群落
幂律分布
complex networks
social networking services
cluster
power-law distribution
