Tourist Destination Mapping Visualization in Yogyakarta using Affinity Propagation and Social Network Analysis: A Case Study on @explorejogja Instagram in 2017

DOI

10.2991/icebess-18.2019.28How to use a DOI?

Keywords

destination, cluster, map, social network analysis

Abstract

This research was conducted in Department of Statistics Islamic University of Indonesia. The data used are primary data obtained by post @explorejogja Instagram account from January until December 2017. In the @explorejogja Instagram account found many tourist destinations that can be visited by tourists both in the country and abroad. Therefore, it is necessary to form a cluster of existing tourist destinations based on the number of likes from user Instagram assumed as the most popular. The purpose of this research is to know the most popular distribution of tourist spot, the cluster formation of tourist destinations, and central popularity of tourist destinations based on @explorejogja Instagram account in 2017. Statistical analysis used is descriptive statistics, Affinity propagation, and social network analysis.

Copyright

© 2019, 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  - Rahmadi Yotenka
AU  - Muhammad Muhajir
AU  - Nanda Iswandhani
AU  - Hafizah Ima
PY  - 2019/04
DA  - 2019/04
TI  - Tourist Destination Mapping Visualization in Yogyakarta using Affinity Propagation and Social Network Analysis: A Case Study on @explorejogja Instagram in 2017
BT  - Proceedings of the International Conference of Ethics on Business, Economics, and Social Science (ICEBESS 2018)
PB  - Atlantis Press
SP  - 154
EP  - 157
SN  - 2352-5398
UR  - https://doi.org/10.2991/icebess-18.2019.28
DO  - 10.2991/icebess-18.2019.28
ID  - Yotenka2019/04
ER  -