Analysis of Mianshan Network Attention based on Big Data

Mengyao Zhang

2021

Abstract

Network attention is a precursor phenomenon of tourists’ tourism behavior. The analysis of network attention is conducive to the targeted marketing and publicity of the scenic spot and attract more tourists. This study takes Mianshan scenic spot in Jiexiu , Shanxi Province as an example, crawls the network attention information through python, analyzes the temporal and spatial characteristics of Mianshan network attention by using the coefficient of variation, seasonal concentration index and geographical concentration index, and finds that due to historical and cultural factors, the network attention of Mianshan scenic spot shows a peak before and after the Qing Dynasty. It also puts forward the measures to realize the sustainable development of tourism in Mianshan scenic spot.

Paper Citation

in Harvard Style

Zhang M. (2021). Analysis of Mianshan Network Attention based on Big Data. In Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA, ISBN 978-989-758-589-0, pages 226-231. DOI: 10.5220/0011304000003437

in Bibtex Style

@conference{pmbda21,
author={Mengyao Zhang},
title={Analysis of Mianshan Network Attention based on Big Data},
booktitle={Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,},
year={2021},
pages={226-231},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011304000003437},
isbn={978-989-758-589-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,
TI - Analysis of Mianshan Network Attention based on Big Data
SN - 978-989-758-589-0
AU - Zhang M.
PY - 2021
SP - 226
EP - 231
DO - 10.5220/0011304000003437