A Study on Generation Model of Complex Network based on Latent Topic
-
- Akayama Ikuto
- Graduate School of Engineering Science, Osaka University
-
- Hijikata Yoshinori
- School of Business Administration, Kwansei Gakuin University
-
- Kuramochi Toshiya
- Graduate School of Engineering Science, Osaka University
-
- Sakata Nobuchika
- Graduate School of Science and Technology, Nara Institute of Science and Tchnology
Bibliographic Information
- Other Title
-
- 潜在トピックに基づく複雑ネットワークの生成モデルに関する研究
- センザイ トピック ニ モトズク フクザツ ネットワーク ノ セイセイ モデル ニ カンスル ケンキュウ
Search this article
Description
<p>Many researchers have tried to clarify the mechanism of growth of complex networks by developing network generation models like WS model proposed by Watts and Strogatz and BA model proposed by Barabási and Albert. A new network generation model is proposed in this study. It gives a sense of characteristics or interest to each model in the network. In our proposed model, a node selects a target node to make a directed link based on the latent topic. This study examines the features of the networks generated by our model through computer simulation. In the examination, we calculate the average path length, clustering coefficient and power exponent, which are representative evaluation indices of network, and check whether it satisfies the property of complex networks. We also qualitatively confirm whether our model generates networks with communities of a certain size by visualizing them.</p>
Journal
-
- Transactions of the Institute of Systems, Control and Information Engineers
-
Transactions of the Institute of Systems, Control and Information Engineers 31 (10), 366-376, 2018-10-15
THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)
- Tweet
Details 詳細情報について
-
- CRID
- 1390001288108457728
-
- NII Article ID
- 130007579743
-
- NII Book ID
- AN1013280X
-
- ISSN
- 2185811X
- 13425668
-
- NDL BIB ID
- 029270149
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- NDL
- Crossref
- CiNii Articles
-
- Abstract License Flag
- Disallowed