@article{1614,
  author = {Xiangdong He, Qiong Gu,  Xianming Wang },
  title = {Study on Evolution Trends of Network Public Opinion Based on Hyperlink Analysis},
  journal = {Journal of Digital Information Management},
  year = {2014},
  volume = {12},
  number = {6},
  doi = {},
  url = {http://dline.info/fpaper/jdim/v12i6/11.pdf},
  abstract = {The implications and features of network
public opinion are introduced, and the feasibility of using linkage analysis technology to analyze the evolution trends
of network public opinion is discussed. The evolution process of network public opinion with time and information source quality evaluation are studied with the use of BUT
Web crawler as a tool and several well-known news sites or portals to news channels in China as the case study. The linkage analysis principle is combined with network public opinion features. Experiment results show that linkage analysis technology can reveal the evolution trends
of network public opinion. Such an analytical scheme could be a powerful tool for the quality evaluation of information sources of network public opinion. This scheme is also
beneficial for automatically finding and tracking hot public opinion.},
}