Corporate Communication Network and Stock Price Movements Insights from Data Mining

@article{1703065,
      author = {Sri. Ch. Ratna Babu, M. Naveen Kumar, V. Sravani},
      title = {Corporate Communication Network and Stock Price Movements Insights from Data Mining},
      journal = {Iconic Research And Engineering Journals},
      year = {2021},
      volume = {5},
      number = {6},
      pages = {159-165},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1703065.pdf},
      abstract = {To detect communication patterns with in a company and find out how these patterns are related to performance of a company. In particular, the study concentrates on whether or not there exists any association relationships between the frequency of e-mail exchange of key employees in company and performance of company that reflects in stock prices. If there are such relationships, then they find out whether or not the company?s stock price could be accurately predicted based on detected relationships. 
Data Mining algorithm is proposed to mine the e-mail communication record and historical stock prices to detect the association relationships and based on the detected relationships, rules that can predict changes in stock prices can be constructed.},
      month = {December},
  }