| 大数据时代的社交网络分析 |
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| 引用本文： | 张基恒,;魏进武,;张云勇,;石祥路. 大数据时代的社交网络分析[J]. 邮电设计技术, 2014, 0(7): 1-5 |
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| 作者姓名： | 张基恒, 魏进武, 张云勇, 石祥路 |
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| 作者单位： | [1]中国联通研究院,北京100048; [2]北京邮电大学,北京100876 |
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| 摘 要： | 概述了大数据时代社交网络的技术背景、网络拓扑结构和MapReduce。阐述了一种新的社交网络的用户聚类分析方法，即如何利用已知的用户，简要推算出好友共同关注和共同粉丝的可能性，以及用户好友群内的连通分支情况。通过一系列的聚类步骤，一种好友共享粉丝/关注的可能性被进一步表征出来，并简要讨论了其应用。
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| 关 键 词： | MapReduce 聚类分析 社交网络 |
Analysis of Social Network in Big Data Era |
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| Affiliation: | Zhang Jiheng, Wei Jinwu, Zhang Yunyong, Shi Xianglu ( 1. China Unicom Research Institute, Beijing 100048, China; 2.Beijing Uni versity of Posts and Telecommunications, Beijing 100876, China) |
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| Abstract: | It discusses the technical background of social network in big data era, network topology and MapReduce. It also expounds a new user clustering analysis method of social network, that is to get friends’common fol owing and fol owers with the known users, and the relations of the friends in the group. A series step of clustering is achieved progressively. The trend of how likely for friends share fol owers/fol owings and also the further use of this trend are briefly discussed. |
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| Keywords: | MapReduce Clustering Social network |
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