Academic Community Network Analysis of Artificial Neural Network

• Published in: IOP conference series. Materials Science and Engineering Vol. 439; no. 3; pp. 32004 - 32013
• Main Authors: Hou, Shu-fan, Shen, Qing, Liu, Si-han, Hou, Ming-kai
• Format: Journal Article
• Language: English
• Published: IOP Publishing 09.11.2018
• ISSN: 1757-8981; 1757-899X; 1757-899X
• DOI: 10.1088/1757-899X/439/3/032004

Artificial neural network is one of the hottest research areas in recent years. Inspired by the system of human brains, Artificial neural network is widely used in expert systems, machine learning and other fields. In recent years, the artificial neural networks related literature shows explosive growth. Through social network research on the artificial neural networks can help us to understand and predict trends and changes in the field of neural network. In this paper, a social network of co-writing is built based on for last 15 years SCI articles, which themed "artificial neural network". The information from the full record of these papers is abstracted and the discussion on it is shown in two aspects: time period and impact factor. By the analysis and comparison on the nature of the complex network, it can be found that artificial neural networks draw more and more attention, research cooperation in this field is more common, and in the group of authoritative experts this feature is particularly evident. Meanwhile, it is obvious that social network of artificial neural network is a typical scale-free network.