Predicting Stock Movements using Social Network

  • Sunil Saumya
  • Jyoti Prakash Singh
  • Prabhat Kumar
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9844)

Abstract

According to “Wisdom of Crowds” hypothesis, a large crowd can perform better than smaller groups or few individuals. Based on this hypothesis, we investigate the impact of online social media, a group of interacting individual, on financial market in Indian context. The interaction of different users of www.moneycontrol.com, a popular online Indian stock forum, is put to a social graph model and several key parameters are derived from that social graph along with the user’s suggestion such as (Buy, Sell or Hold) related to a stock. The user’s impact in that forum is then calculated using the social graph of the users. Stock price movement is then predicted using user’s suggestions and their impact in that forum. As per our knowledge, this is the first paper which considers the impact of www.moneycontrol.com user’s suggestions and social relation to predict the stock prices.

Keywords

Sentiment analysis Wisdom of crowd Page rank Stock price movement 
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Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Sunil Saumya
    • 1
  • Jyoti Prakash Singh
    • 1
  • Prabhat Kumar
    • 1
  1. 1.National Institute of Technology PatnaBiharIndia

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