@article{oai:kyukyo.repo.nii.ac.jp:00000395,
 author = {末木, 将史 and SUEKI, Masachika},
 issue = {2},
 journal = {九州共立大学研究紀要, Study journal of Kyushu Kyoritsu University},
 month = {Mar},
 note = {In this article, we will explore the network structure of SNS specialized in equity investment. We
use network data from over 40,000 individual investors. This is part of a total number of over 450,000
investors in this SNS.
Unlike other popular social networks such as Facebook and LinkedIn, this network doesn’t seem to
be human relationship. However, it is important that investors interact to share investment ideas. This is
a valuable feature of the investment community SNS.
First, we analyzed the entire network. As expected, the entire network consists of a small number
of page owners with a very large number of links（hereinafter referred to as investors）and a large
number of page owners with a small number of links. Except for the scale-free nature of this network, no
network-wide features were found.
Next, we adopted the Modularity Q method and divided the entire network into several subnetworks.
Subnetwork statistics are completely different when compared to network-wide statistics. Most
subnetworks have several hubs or authorities. However, the reason for such a network formation is an
open question and need to be explored in the next work.},
 pages = {57--70},
 title = {投資SNSのネットワーク構造},
 volume = {10},
 year = {2020},
 yomi = {スエキ, マサチカ}
}