电信科学 ›› 2022, Vol. 38 ›› Issue (11): 36-46.doi: 10.11959/j.issn.1000-0801.2022280

• 研究与开发 • 上一篇    下一篇

一种基于信息DNA的互联网信息内容传播及演化追溯方法

李攀攀1, 谢正霞1, 王赠凯1, 靳锐2   

  1. 1 嘉兴学院,浙江 嘉兴 314001
    2 哈尔滨工业大学,黑龙江 哈尔滨150001
  • 修回日期:2022-10-20 出版日期:2022-11-20 发布日期:2022-11-01
  • 作者简介:李攀攀(1983- ),男,博士,嘉兴学院讲师,主要研究方向为社会计算、开源情报、网络空间安全等
    谢正霞(1982- ),女,嘉兴学院工程师,主要研究方向为社会计算、网络舆情等
    王赠凯(1980- ),男,博士,嘉兴学院讲师,主要研究方向为社会计算、人工智能等
    靳锐(1976- ),男,哈尔滨工业大学博士生,主要研究方向为信息安全、社交网络分析、机器学习等
  • 基金资助:
    国家自然科学基金资助项目(61902226);浙江省自然科学基金资助项目(LY18F020021)

An information-DNA based method of information dissemination and evolution on Internet

Panpan LI1, Zhengxia XIE1, Zengkai WANG1, Rui JIN2   

  1. 1 Jiaxing University, Jiaxing 314001, China
    2 Harbin Institute of Technology, Harbin 150001, China
  • Revised:2022-10-20 Online:2022-11-20 Published:2022-11-01
  • Supported by:
    The National Natural Science Foundation of China(61902226);Zhejiang Provincial Natural Science Foundation of China(LY18F020021)

摘要:

针对如何解决互联网上信息内容传播及演化过程追溯的问题,提出了一种基于信息DNA的互联网信息传播及演化追溯方法。首先,根据领域知识对互联网信息内容进行语义抽取,形成信息内容关键特征集;然后,使用信息内容关键特征集,提出基于局部敏感哈希的信息DNA构建方法;最后,通过公开数据集验证了所提方法的可用性及有效性。以信息DNA为核心标识符解决了互联网同源信息传播及演化过程可追溯的问题,对研究互联网信息内容传播、演化追溯及网络舆情事件的治理与引导等有重要的现实意义。

关键词: 信息DNA, 信息演化, 信息传播, 计算传播学

Abstract:

To solve the problem of how to trace the information content dissemination and evolution process on the Internet, an information DNA-based method of information dissemination and evolution on Internet was proposed.Firstly, semantic extraction of Internet information content was performed based on domain knowledge to form a key feature set of information content.Then, using the key feature set of information content, an information DNA construction method based on locally sensitive hashing was proposed.Finally, the usability and effectiveness of the proposed method were verified by public dataset.The problem of traceability of Internet homologous information dissemination and evolution process was solved by using information DNA as the core identifier, which was of great practical significance for the study of Internet information content dissemination, evolution tracing and the governance and guidance of Internet public opinion events.

Key words: information DNA, information evolution, information dissemination, computational communication

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