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Trust Based Stock Recommendation System – A Social Network Analysis Approach

机译:基于信任的股票推荐系统–一种社交网络分析方法

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We propose a novel system to recommend the leading investment option in stocks utilizing a methodology based on the transactions of trusted mutual funds and their corresponding stock holding portfolio. The network formed by the stock holding portfolio is the mutual funds are analyised by the tools of social network analysis. The analysis of the method using the Indian mutual funds data qualifying CRISIL-1 rating shows that it can effectively be used as a reliable portfolio recommendation system for non-professional investors looking for stock investment guidance and reveals the similarity between investment pattern of various Indian mutual funds.
机译:我们提出一种新颖的系统,以基于可信赖的共同基金及其相应的股票持有投资组合的交易方法,推荐股票的领先投资选择。由股票投资组合形成的网络是通过社会网络分析工具对共同基金进行分析。使用印度共同基金数据合格的CRISIL-1评级对该方法进行的分析表明,它可以有效地用作寻求股票投资指导的非专业投资者的可靠投资组合推荐系统,并揭示了各种印度共同基金的投资模式之间的相似性资金。

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