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Hot Network Information Extraction Based on Key Nodes

  

  1. (1. College of Computer Science and Engineering, Xinjiang University of Finance & Economics, Urumqi 830001, China;
    2. Information Center, Xinjiang Science and Technology Association, Urumqi 830001, China)
  • Received:2018-11-26 Online:2019-09-23 Published:2019-09-23

Abstract: Firstly, the paper demonstrates that the key nodes of social networks play an important role in the generation, dissemination and guidance of hotspot information. On this basis, the hotspot information of key nodes will be processed as follows: Firstly, the word segmentation processing is performed on a single piece of information, and the set of word segmentation is obtained, and the meaningless word segmentation words are filtered out; Secondly, the obtained segmentation words are spliced renewedly, and the meaningless splicing sequences are filtered out, we will obtain a summary of the single hotspot information; Thirdly, merging the hotspot information summary of the same meaning, and obtaining the hotspot information summary set, which is the network hotspot information.In this way, the accuracy and comprehensiveness of hot spot information extraction are greatly improved, and good verification results are obtained on social networks.

Key words: key nodes in social networks, Web spider, informative abstract, hot spot information extraction

CLC Number: