A Survey of Network Reconstruction on Social Network

Longfei Wang, Yong Zeng, Zhongyuan Jiang, Zhihong Liu, Jianfeng Ma
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Abstract

Social network contains more and more sensitive information, which makes the analysis of it more valuable. Network reconstruction is an important method for network analysis which is worthy to further study. In order to have a deep comprehension of the methods and the classification of network reconstruction, we need to do a classification and analysis for it. In this paper, network reconstruction on social network is the main research direction. Firstly, we introduce some concepts of privacy, protection methods and attack methods for social networks. After that we lead to the concept and usage of network reconstruction. Secondly, the existing methods of network reconstruction are introduced and classified based on the sources of observation data: information from node and information from network structure. And then we classify its application. Finally, we analyze the problem and challenge of existing methods. Meanwhile, some research points are also summarized to indicate the direction for other researchers and future work.
基于社会网络的网络重构研究综述
社交网络包含越来越多的敏感信息,这使得对其进行分析更有价值。网络重构是网络分析的重要方法,值得进一步研究。为了对网络重构的方法和分类有一个深入的理解,我们需要对其进行分类分析。本文以基于社交网络的网络重构为主要研究方向。首先,我们介绍了一些隐私的概念、社交网络的保护方法和攻击方法。然后引出网络重构的概念和用法。其次,介绍了现有的网络重构方法,并根据观测数据的来源:节点信息和网络结构信息进行了分类。然后我们对它的应用进行分类。最后,分析了现有方法存在的问题和面临的挑战。同时,总结了一些研究要点,为其他研究者和今后的工作指明了方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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