| 基于加权网络模块强度的社团划分 |
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| 引用本文： | 王秀凤,马英红. 基于加权网络模块强度的社团划分[J]. 计算机应用研究, 2013, 30(3): 695-698 |
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| 作者姓名： | 王秀凤 马英红 |
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| 作者单位： | 山东师范大学 管理科学与工程学院,济南,250014 |
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| 基金项目： | 国家自然科学基金资助项目（71071090）; 山东省优秀中青年科学家奖励基金资助项目（BS2009DX005） |
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| 摘 要： | 为了更好地将社交网络中的社团结构识别出来,努力实现社团结构的自然划分,在对模块度参数重新定义的基础上,提出了一种基于加权网络模块强度的社团划分算法。该算法的复杂性较低,能有效地完成加权复杂网络的社团划分。实验的模拟和仿真证实了算法的可行性和有效性。
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| 关 键 词： | 复杂系统 社团划分 社交网络 模块强度 |
Communities partition based on weighted-network module strength |
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| WANG Xiu-feng,MA Ying-hong. Communities partition based on weighted-network module strength[J]. Application Research of Computers, 2013, 30(3): 695-698 |
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| Authors: | WANG Xiu-feng MA Ying-hong |
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| Affiliation: | School of Management Science & Engineering, Shandong Normal University, Jinan 250014, China |
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| Abstract: | In order to pick the community structure in social network out more accurately and to achieve the natural division, this paper designed a new community partition algorithm based on the module strength which modified by the famous idea modu-larity. The complexity of the algorithm is acceptable and experiments for several real-world social networks are valid which confirme the feasibility and effectiveness of the algorithm based on module strength. |
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| Keywords: | complex system community detection social network module strength |
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