DocumentCode
3343123
Title
Notice of Retraction
The topology analyze of blogosphere through social network method
Author
Yingan Cui ; Xiaogang Chen ; Xue Li
Author_Institution
Sch. of Electron. & Inf. Eng., Xi´an JiaoTong Univ., Xi´an, China
Volume
1
fYear
2011
fDate
26-28 July 2011
Firstpage
302
Lastpage
305
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The topology of blogoshpere is one of the hot research topics in social computing. It has an import effect on the information diffusion, network formation etc. In this paper, We started from crawl the data set from four blog websites in different countries, and then analyze the key performance indicators include degree distribution (in-degree, out-degree), average distance length, clustering coefficient, spectral density, and give the analytical graphs or charts. Though the sample set is different, we still find some common character with different blogophere, this will bring help to the future work and deeply explain some phenomenon in blog communication.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The topology of blogoshpere is one of the hot research topics in social computing. It has an import effect on the information diffusion, network formation etc. In this paper, We started from crawl the data set from four blog websites in different countries, and then analyze the key performance indicators include degree distribution (in-degree, out-degree), average distance length, clustering coefficient, spectral density, and give the analytical graphs or charts. Though the sample set is different, we still find some common character with different blogophere, this will bring help to the future work and deeply explain some phenomenon in blog communication.
Keywords
Web sites; social networking (online); topology; average distance length indicator; blog Web sites; blog communication; blogosphere topology analysis; clustering coefficient indicator; in-degree distribution indicator; out-degree distribution indicator; social computing; social network method; spectral density indicator; Blogs; Communities; Educational institutions; Network topology; Psychology; Social network services; Topology; blogshpere; key performance indicators; social network analyze; topology character;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022119
Filename
6022119
Link To Document