Issue |
MATEC Web Conf.
Volume 189, 2018
2018 2nd International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT 2018)
|
|
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Article Number | 10022 | |
Number of page(s) | 7 | |
Section | Bio & Human Engineering | |
DOI | https://doi.org/10.1051/matecconf/201818910022 | |
Published online | 10 August 2018 |
Research on stock similarity and community division based on user attention sequence
1
Computer Sciences, Shanghai University, 200444, China
2
East Sea Information Centre, SOA China, 200444, China
Corresponding author: xly@shu.edu.cn
We conduct research from the perspective of user groups and analyze the differences in the users' attention and posting order in different time periods to vectorize stocks and build relationships from the generatedx vectors. This provides a new perspective for the complex network cconstruction and community division of network public opinion space. The experiment result show that we can get the community division consistent with reality using our model.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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