检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]四川大学信息安全研究所,四川成都610065 [2]中国信息安全测评中心,北京100085
出 处:《四川大学学报(工程科学版)》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
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.
分 类 号:TP393.08[自动化与计算机技术—计算机应用技术]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.38