Research on the Spatial Distribution of Network Public Opinion of Important Geographical Events

Li Jie; Chen Lu Lu; Yang Zhen; Hu Jun

doi:doi:10.11648/j.sd.20221006.24

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Research on the Spatial Distribution of Network Public Opinion of Important Geographical Events

Li Jie, Chen Lu Lu, Yang Zhen, Hu Jun

Published in Science Discovery (Volume 10, Issue 6)

Received: 5 November 2022 Accepted: 1 December 2022 Published: 8 December 2022

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Abstract

The new geography research of the information society includes two forms: real geographic space and virtual cyberspace. This paper studies and analyzes the geographical distribution characteristics of cyberspace information from the perspective of geography. With geographic events as the entrance and Sina Weibo information platform, it explores the relationship between virtual cyberspace and real geographic environment, and studies the spread of online public opinion caused by important geographic events and its spatial distribution characteristics. This paper selects 12 important geographical events, based on the way of big data information capture, to obtain the correlation information reflecting geographical events in cyberspace, analyze the spatial distribution characteristics of network public opinion, and the correlation characteristics between network public opinion and geographical events. The distribution of network public opinion caused by important geographical events in geographical space is analyzed based on examples. The research shows that the network space information reflects geographical events with overall authenticity and local bias; We also select "drought" and "sand dust storm", two keywords without geographical location markers, to search and capture micro blog information, and make exploratory verification on the mining, analysis and predictability of cyberspace information on geographical spatial location or geographical events; According to the typhoon "Fiat" event, the scale characteristics of geographical network events are analyzed, and it is found that there are differences in the distribution characteristics of event network attention under different scales. This study aims to provide theoretical support for public opinion research on important events or response to public security emergencies, and it is more practical and valuable to detect, guide and prevent abnormal network public opinion.

Published in	Science Discovery (Volume 10, Issue 6)
DOI	10.11648/j.sd.20221006.24
Page(s)	466-473
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Geographical Events, Internet Public Opinion, GIS, Micro-blog, Space Distribution

References

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APA Style

Li Jie, Chen Lu Lu, Yang Zhen, Hu Jun. (2022). Research on the Spatial Distribution of Network Public Opinion of Important Geographical Events. Science Discovery, 10(6), 466-473. https://doi.org/10.11648/j.sd.20221006.24

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ACS Style

Li Jie; Chen Lu Lu; Yang Zhen; Hu Jun. Research on the Spatial Distribution of Network Public Opinion of Important Geographical Events. Sci. Discov. 2022, 10(6), 466-473. doi: 10.11648/j.sd.20221006.24

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AMA Style

Li Jie, Chen Lu Lu, Yang Zhen, Hu Jun. Research on the Spatial Distribution of Network Public Opinion of Important Geographical Events. Sci Discov. 2022;10(6):466-473. doi: 10.11648/j.sd.20221006.24

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@article{10.11648/j.sd.20221006.24,
  author = {Li Jie and Chen Lu Lu and Yang Zhen and Hu Jun},
  title = {Research on the Spatial Distribution of Network Public Opinion of Important Geographical Events},
  journal = {Science Discovery},
  volume = {10},
  number = {6},
  pages = {466-473},
  doi = {10.11648/j.sd.20221006.24},
  url = {https://doi.org/10.11648/j.sd.20221006.24},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20221006.24},
  abstract = {The new geography research of the information society includes two forms: real geographic space and virtual cyberspace. This paper studies and analyzes the geographical distribution characteristics of cyberspace information from the perspective of geography. With geographic events as the entrance and Sina Weibo information platform, it explores the relationship between virtual cyberspace and real geographic environment, and studies the spread of online public opinion caused by important geographic events and its spatial distribution characteristics. This paper selects 12 important geographical events, based on the way of big data information capture, to obtain the correlation information reflecting geographical events in cyberspace, analyze the spatial distribution characteristics of network public opinion, and the correlation characteristics between network public opinion and geographical events. The distribution of network public opinion caused by important geographical events in geographical space is analyzed based on examples. The research shows that the network space information reflects geographical events with overall authenticity and local bias; We also select "drought" and "sand dust storm", two keywords without geographical location markers, to search and capture micro blog information, and make exploratory verification on the mining, analysis and predictability of cyberspace information on geographical spatial location or geographical events; According to the typhoon "Fiat" event, the scale characteristics of geographical network events are analyzed, and it is found that there are differences in the distribution characteristics of event network attention under different scales. This study aims to provide theoretical support for public opinion research on important events or response to public security emergencies, and it is more practical and valuable to detect, guide and prevent abnormal network public opinion.},
 year = {2022}
}

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TY  - JOUR
T1  - Research on the Spatial Distribution of Network Public Opinion of Important Geographical Events
AU  - Li Jie
AU  - Chen Lu Lu
AU  - Yang Zhen
AU  - Hu Jun
Y1  - 2022/12/08
PY  - 2022
N1  - https://doi.org/10.11648/j.sd.20221006.24
DO  - 10.11648/j.sd.20221006.24
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 466
EP  - 473
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20221006.24
AB  - The new geography research of the information society includes two forms: real geographic space and virtual cyberspace. This paper studies and analyzes the geographical distribution characteristics of cyberspace information from the perspective of geography. With geographic events as the entrance and Sina Weibo information platform, it explores the relationship between virtual cyberspace and real geographic environment, and studies the spread of online public opinion caused by important geographic events and its spatial distribution characteristics. This paper selects 12 important geographical events, based on the way of big data information capture, to obtain the correlation information reflecting geographical events in cyberspace, analyze the spatial distribution characteristics of network public opinion, and the correlation characteristics between network public opinion and geographical events. The distribution of network public opinion caused by important geographical events in geographical space is analyzed based on examples. The research shows that the network space information reflects geographical events with overall authenticity and local bias; We also select "drought" and "sand dust storm", two keywords without geographical location markers, to search and capture micro blog information, and make exploratory verification on the mining, analysis and predictability of cyberspace information on geographical spatial location or geographical events; According to the typhoon "Fiat" event, the scale characteristics of geographical network events are analyzed, and it is found that there are differences in the distribution characteristics of event network attention under different scales. This study aims to provide theoretical support for public opinion research on important events or response to public security emergencies, and it is more practical and valuable to detect, guide and prevent abnormal network public opinion.
VL  - 10
IS  - 6
ER  -

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Author Information

Li Jie

Air Defense and Antimissile School, Air Force Engineering University, Xi’an, China
Chen Lu Lu

The First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources (MNR), Xi’an, China
Yang Zhen

School of Information Engineering, Engineering University of PAP, Xi’an, China
Hu Jun

Air Defense and Antimissile School, Air Force Engineering University, Xi’an, China

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Plain Text BibTeX RIS

APA Style

Li Jie, Chen Lu Lu, Yang Zhen, Hu Jun. (2022). Research on the Spatial Distribution of Network Public Opinion of Important Geographical Events. Science Discovery, 10(6), 466-473. https://doi.org/10.11648/j.sd.20221006.24

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ACS Style

Li Jie; Chen Lu Lu; Yang Zhen; Hu Jun. Research on the Spatial Distribution of Network Public Opinion of Important Geographical Events. Sci. Discov. 2022, 10(6), 466-473. doi: 10.11648/j.sd.20221006.24

Copy | Download

AMA Style

Li Jie, Chen Lu Lu, Yang Zhen, Hu Jun. Research on the Spatial Distribution of Network Public Opinion of Important Geographical Events. Sci Discov. 2022;10(6):466-473. doi: 10.11648/j.sd.20221006.24

Copy | Download

@article{10.11648/j.sd.20221006.24,
  author = {Li Jie and Chen Lu Lu and Yang Zhen and Hu Jun},
  title = {Research on the Spatial Distribution of Network Public Opinion of Important Geographical Events},
  journal = {Science Discovery},
  volume = {10},
  number = {6},
  pages = {466-473},
  doi = {10.11648/j.sd.20221006.24},
  url = {https://doi.org/10.11648/j.sd.20221006.24},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20221006.24},
  abstract = {The new geography research of the information society includes two forms: real geographic space and virtual cyberspace. This paper studies and analyzes the geographical distribution characteristics of cyberspace information from the perspective of geography. With geographic events as the entrance and Sina Weibo information platform, it explores the relationship between virtual cyberspace and real geographic environment, and studies the spread of online public opinion caused by important geographic events and its spatial distribution characteristics. This paper selects 12 important geographical events, based on the way of big data information capture, to obtain the correlation information reflecting geographical events in cyberspace, analyze the spatial distribution characteristics of network public opinion, and the correlation characteristics between network public opinion and geographical events. The distribution of network public opinion caused by important geographical events in geographical space is analyzed based on examples. The research shows that the network space information reflects geographical events with overall authenticity and local bias; We also select "drought" and "sand dust storm", two keywords without geographical location markers, to search and capture micro blog information, and make exploratory verification on the mining, analysis and predictability of cyberspace information on geographical spatial location or geographical events; According to the typhoon "Fiat" event, the scale characteristics of geographical network events are analyzed, and it is found that there are differences in the distribution characteristics of event network attention under different scales. This study aims to provide theoretical support for public opinion research on important events or response to public security emergencies, and it is more practical and valuable to detect, guide and prevent abnormal network public opinion.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Research on the Spatial Distribution of Network Public Opinion of Important Geographical Events
AU  - Li Jie
AU  - Chen Lu Lu
AU  - Yang Zhen
AU  - Hu Jun
Y1  - 2022/12/08
PY  - 2022
N1  - https://doi.org/10.11648/j.sd.20221006.24
DO  - 10.11648/j.sd.20221006.24
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 466
EP  - 473
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20221006.24
AB  - The new geography research of the information society includes two forms: real geographic space and virtual cyberspace. This paper studies and analyzes the geographical distribution characteristics of cyberspace information from the perspective of geography. With geographic events as the entrance and Sina Weibo information platform, it explores the relationship between virtual cyberspace and real geographic environment, and studies the spread of online public opinion caused by important geographic events and its spatial distribution characteristics. This paper selects 12 important geographical events, based on the way of big data information capture, to obtain the correlation information reflecting geographical events in cyberspace, analyze the spatial distribution characteristics of network public opinion, and the correlation characteristics between network public opinion and geographical events. The distribution of network public opinion caused by important geographical events in geographical space is analyzed based on examples. The research shows that the network space information reflects geographical events with overall authenticity and local bias; We also select "drought" and "sand dust storm", two keywords without geographical location markers, to search and capture micro blog information, and make exploratory verification on the mining, analysis and predictability of cyberspace information on geographical spatial location or geographical events; According to the typhoon "Fiat" event, the scale characteristics of geographical network events are analyzed, and it is found that there are differences in the distribution characteristics of event network attention under different scales. This study aims to provide theoretical support for public opinion research on important events or response to public security emergencies, and it is more practical and valuable to detect, guide and prevent abnormal network public opinion.
VL  - 10
IS  - 6
ER  -

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