Microblog Social Network Analysis Based on Network Group Behavior

Lin Wang; Yang Zhao; She Hong Liang; Kan Shi

doi:10.4028/www.scientific.net/AMR.798-799.435

Paper Titles

Iterative Construct of Reversible Network Based on Cascade Operation
p.419

Study on the Technology of Information Hiding Based on HTML Tags
p.423

Rapidly Construct the Network Teaching Environment for Training
p.427

Heterogeneous Wireless-Wired Sensor Network Communication Based on Mobile IP
p.431

Microblog Social Network Analysis Based on Network Group Behavior
p.435

The Research and Creation of Electronic Technology Simulated Practice Training Platform
p.439

Simulation of Active Noise Control System on the Truck Interior Cab
p.443

Trajectory Tracking Control for Micro Unmanned Aerial Vehicles
p.448

Micro-Defects Test Simulation Analysis and Experiment Research under Alternating Electromagnetic Excitation
p.452

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 798-799Microblog Social Network Analysis Based on Network...

Microblog Social Network Analysis Based on Network Group Behavior

Abstract:

This paper has searched the six key influential network group incidents in 2011 in China through SINA Microblog platform, screen the most active Microblog users who pay close attention to the incidents, their Microblog followers are above 50,000 , finally collects 30 Microblog user information by the way of snowballing, form 30*30 “follow – be followed ” Microblog netizens relationship matrix. Specific to this asymmetric matrix, the authors use UCINET social network analysis software and visual software NETDRAW, analyze Microblog network structure, network centrality based on network group incidents, and comprehensively describe the laws to release and acquire group incidents under the mixed network environment of Microblog, combined with the massive Microblog exchange data, to analyze the non-rational behavior of the netizens, so as to provide a scientific basis for setting out the appropriate guiding strategy and interventions.

You might also be interested in these eBooks

Advances in Applied Science and Industrial Technology

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 798-799)

Pages:

435-438

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.798-799.435

Citation:

Cite this paper

Online since:

September 2013

Authors:

Lin Wang, Yang Zhao, She Hong Liang, Kan Shi

Keywords:

Data Acquisition, Microblog, Network Group Incidents, Power, Social Network

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Gross PLK, Gross EM. College libraries and chemical education. Science , 1927 , 66 (1713) : 385-389.

DOI: 10.1126/science.66.1713.385

Google Scholar

[2] Garfield E. The history and meaning of the journal impact factor . JAMA, 2006 , 295 (1) : 90-93.

Google Scholar

[3] Row lands I Journal diffusion fact or : A new approach to measuring research influence . A slib Proceedings , 2002 , 54 (2) : 77-84.

Google Scholar

[4] Frand sen T F. Journal diffusion factors A measure of diffusion ?. ASLIB Proceedings , 2004 , 56(1) : 5 -11.

Google Scholar

[5] B raun T , G lanzelW, Schubert A. A Hirsch-type index for journals . Scien tom etrics , 2006 , 69(1) : 169-173.

Google Scholar

[6] Luo Jiade, Handouts of Social Network Analysis, M . Beijing: Social Sciences Academic Press, 2005: 156-159.

Google Scholar

[7] Hu Shengfang, Comment on Domestic Network Group Events Theory. Journal of Chongqing University of Posts and Telecommunications (Social Science Edition), 2011(03): 33-36.

Google Scholar

[8] Huang Yueqin, On the Role of the Public Opinion Guidance and the Media Responsibilities in the Network Group Incidents. Journal of Hubei University (Philosophy and Social Sciences), 2010(05): 109-112.

Google Scholar