The Research in Satellite Television Channel Landing Fee of China Based on PageRank Algorithm

Article Preview

Abstract:

While providing signal transmission services for stv channels (satellite television channels), catv operators in the area of broadcast and television in China raised a controversial issue about the standard of charging channel operators landing fee. To address the problem, this passage suggests a proposal about charging landing fee according to the seat value, which assessing each channel’s seat value based on the data of the audiences and the pagerank algorithm as the index. The result shows that our proposal improved the audience rating of channel while bringing a greater economic benefit to catv operators compared with the traditional standard of charging fixed landing fee.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1791-1795

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Haijiang Fei, Empirical Research on Satellite Television Landing Fee Based on Panel Data Model[J]Finance and Accounting, 4th periodical of (2012).

Google Scholar

[2] Kui Lv. Cable Television Network Access Fee Pricing Model and Influence Factors Analysis Based on Two-sided Market Theory[J]College Journal of Xidian University(Social Science Edition), 1st periodical of (2009).

Google Scholar

[3] Dicken, P. and A. Malmberg. Firms in territories: A relational perspective., Economic Geography 77(4): 345-363, (2001).

DOI: 10.2307/3594105

Google Scholar

[4] Paul Krugman. Increasing Returns and Economic Geography., Journal of Political Economy 99(3): 483-499, (1991).

DOI: 10.1086/261763

Google Scholar

[5] PageL, BrinS, MotwaniR, etal. The PageRank citation ranking Bringing order to the web[C]/Stanford Digital Libraries Working Paper, (1998).

Google Scholar

[6] Lincheng Jiang, Bin Ge, Weidong Xiao, etal. BBS opinion leader mining based on an improved PageRank algorithm using MapReduce., Chinese Automation Congress (CAC), (2013).

DOI: 10.1109/cac.2013.6775766

Google Scholar

[7] Fercoq,O. PageRank optimization applied to spam detection., Network Games, Control and Optimization (NetGCooP), (2012).

Google Scholar

[8] Chung-Chi Huang, Lun-Wei Ku. Interest Analysis Using Semantic PageRank and Social Interaction Content., Data Mining Workshops (ICDMW), (2013).

DOI: 10.1109/icdmw.2013.12

Google Scholar