Analyzing bids on public projects based on knowledge discovery from discrete data structures

本研究旨在开发一种新的方法来分析地方政府合同投标中代表公司之间关系的时间序列图的结构转变，除了传统的数值方法，如中标率的回归分析。通过对计算机运行数据和社交媒体数据的分析，验证了所提方法的有效性。此外，还创建了12个地方政府的投标数据库。

This study aims to develop new methods for analyzing structural transitions of time-series graphs representing relationships among companies in bids on local government contracts, in addition to the conventional numerical methods such as regression analysis of bid rates. The effectiveness of the proposed methods have been shown by analyzing computer operation data, and social media data as the testbeds. Also, the database of bids has been created for twelve local governments.