Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Analysis on the Network Structure of Public Opinion transmission about social hot issues based on the microblogging platform

Authors
Yangbing Yang, Jianping Chai, Bo Li, Xi Feng, Zhuang Wang
Corresponding Author
Yangbing Yang
Available Online July 2016.
DOI
https://doi.org/10.2991/iccia-17.2017.112How to use a DOI?
Keywords
network structure, big data, hot issues, Ucinet
Abstract
At present, there are a large number of Internet users in the microblogging to express their views, they are associated with each other by forwarding. This paper presents a method about an analysis on the network structure of public opinion transmission about social hot issue based on the microblogging platform. To "CCTV Spring Festival Evening" as an example, we use social network analysis methods, use web crawler to get data, use "Ucinet" to calculate the central, intermediary and other data of the network structure, and draw a picture of the network structure of the transmission. So we can research the characteristics of network structure and key node recognition of public opinion transmission in hot issues.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-17.2017.112How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yangbing Yang
AU  - Jianping Chai
AU  - Bo Li
AU  - Xi Feng
AU  - Zhuang Wang
PY  - 2016/07
DA  - 2016/07
TI  - Analysis on the Network Structure of Public Opinion transmission about social hot issues based on the microblogging platform
BT  - 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 657
EP  - 661
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.112
DO  - https://doi.org/10.2991/iccia-17.2017.112
ID  - Yang2016/07
ER  -