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投資SNSのネットワーク構造
https://doi.org/10.15093/0000000395
https://doi.org/10.15093/0000000395cdfea087-0a28-4cdb-ac35-b9b687d181ba
| 名前 / ファイル | ライセンス | アクション |
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kiyo10-2-9 (2.8 MB)
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| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2020-06-18 | |||||
| タイトル | ||||||
| タイトル | 投資SNSのネットワーク構造 | |||||
| 言語 | ja | |||||
| タイトル | ||||||
| タイトル | On Network structure of Investors' Social Network Service | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | jpn | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Social network analysis | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Individual investor | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | hub and authority | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | departmental bulletin paper | |||||
| ID登録 | ||||||
| ID登録 | 10.15093/0000000395 | |||||
| ID登録タイプ | JaLC | |||||
| 著者 |
末木, 将史
× 末木, 将史× SUEKI, Masachika |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | 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. |
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| 言語 | en | |||||
| 書誌情報 |
ja : 九州共立大学研究紀要 en : Study journal of Kyushu Kyoritsu University 巻 10, 号 2, p. 57-70, 発行日 2020-03-19 |
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| 出版者 | ||||||
| 出版者 | 九州共立大学 | |||||
| 言語 | ja | |||||
| ISSN | ||||||
| 収録物識別子タイプ | PISSN | |||||
| 収録物識別子 | 2186-0483 | |||||
| 書誌レコードID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA12533413 | |||||
| 論文ID（NAID） | ||||||
| 識別子タイプ | NAID | |||||
| 関連識別子 | 40022232605 | |||||
