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

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/iccia-17.2017.112
ID  - Yang2016/07
ER  -