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Application of graphic social network in ancient Chinese history research.

机译:图形社交网络在中国古代史研究中的应用。

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摘要

Recent years have witnessed the prosperity of social networks, which enable people instantly establish long distance social relationship that seems an impossible mission in the past. People from different corners of the planet can make new friends and communicate with them through the Internet. Popular social networks such as Facebook, YouTube, Weibo, Twitter, LinkedIn, Flickr and Instagram have been reshaping our life every day. Users can find other peers sharing common interests or interact with different people. Due to the increasing user demand on social networks and the growing impact of social networking platforms, the value of research on the social network environments has been widely recognized. Inspired by the social network's features, this work will build a system to dynamically create a social network graph of two ancient Chinese's families and also creates a shortest path between these two people. Generally, a user provides two ancient Chinese and the system will give their families' connections. In this thesis, two groups ancient Chinese will be the test groups as sources of this system. These two groups' people are from Song Dynasty, and have significant impacts on Chinese history. Through the interesting experiment result, this system successfully creates the social network graph and the shortest paths.
机译:近年来见证了社交网络的繁荣,这使人们能够立即建立长距离的社会关系,这在过去似乎是不可能完成的任务。来自地球不同角落的人们可以结交新朋友,并通过Internet与他们交流。诸如Facebook,YouTube,微博,Twitter,LinkedIn,Flickr和Instagram等流行的社交网络每天都在重塑我们的生活。用户可以找到具有共同兴趣或与其他人互动的其他对等方。由于用户对社交网络的需求不断增长以及社交网络平台的影响越来越大,对社交网络环境进行研究的价值已得到广泛认可。受社交网络功能的启发,这项工作将构建一个系统,以动态创建两个中国古代家庭的社交网络图,并创建这两个人之间的最短路径。通常,用户提供两个古汉语,系统将提供其家人的联系。在本文中,两组古代汉语将作为测试系统的来源。这两个人来自宋朝,对中国历史产生了重大影响。通过有趣的实验结果,该系统成功创建了社交网络图和最短路径。

著录项

  • 作者

    Huang, Yang.;

  • 作者单位

    State University of New York at Binghamton.;

  • 授予单位 State University of New York at Binghamton.;
  • 学科 Electrical engineering.;History.;Computer engineering.
  • 学位 M.S.
  • 年度 2013
  • 页码 62 p.
  • 总页数 62
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 水产、渔业;
  • 关键词

  • 入库时间 2022-08-17 11:40:58

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