For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
A Study of the Assessment on Air Quality on Fuzzy Comprehensive Index
p.3522
Image Distortion Classification towards Quality Assessment Based on Tri-Training and Natural Scene Statistics
p.3526
Industrial Cluster Competitiveness Connotation and Evaluation - A Case Study of Yulin City Magnesium Industry Clusters
p.3532
Association Rules Optimization Algorithm Based on Fuzzy Clustering
p.3536
Hot Spots Tracing on Internet Finance in China
p.3540
Design and Implementation of the Algorithm on Automatically Generating Vouchers in Financial Software
p.3544
Backward P-Law Reasoning and its Application in the Information Image Camouflage-Reduction
p.3548
Applied Research of Single Sign on Technology in Cloud Services
p.3552
In-Depth Research on the File Transformation between DXF&STL
p.3556

Hot Spots Tracing on Internet Finance in China

Article Preview

Abstract:

This paper collects the Internet data of 2013 related with Internet finance from several websites,and identifies key words by ICTCLAS,then analyses the co-word network by Bicomb based on key words co-occurrence.By the help of factor and cluster analysis, it studies the relationship between the key words then tracks the hot spots of Internet finace on the Internet.The analysis shows mobile payment,supervision,risk control and P2P network loan are focused in Internet finance field,Mobile payment,supervision,risk management become the hotspots at present.

You might also be interested in these eBooks
Advanced Manufacturing and Information Engineering, Intelligent Instrumentation and Industry Development View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3540-3543

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3540

Citation:

Cite this paper

Online since:

August 2014

Authors:

Ze Zong*, Lei Zhu

Keywords:

Cluster Analysis, Co-Word Analysis, Factor Analysis (FA), Internet Finance

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] Yuan J.S.; Mao X.W. Computer Engineering and Applications, 2013(2).

Google Scholar

[2] Huangfu Q.H.; Hua W.N.; Liu Y.H. Int. Mag, 2013, 32(1): 118-123.

Google Scholar

[3] Huangfu Q.H.; Xing,Y. Customer. Jou. of Info., 2013, 32(8): 120-124.

Google Scholar

[4] Li,J.Y.; Li,P.F., Zhu Q.M. An improved TFIDF website keyword extraction method. Com. App. & Sof., 2011, 28(5): 25- 27.

Google Scholar

[5] Wang, J. H.; Liu J.Y.; Wang, C. Keyword Extraction Based on PageRank. PAKDD, Nanjing, China, 2007: 857-864.

Google Scholar

[6] Liu,M.; Wang X.L.; Liu Y.C. Extraction method based on phrases chain research. Jou. Com., 2010, 33(7): 1246-1255.

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.