Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)

Video Game Livestream Trend Analysis Based on Twitch Livestream Data

Authors
Luwei Yaoylwapply@163.com
School of Science, Rensselaer Polytechnic Institute, Troy, NY, 12180, US
Corresponding Author
Available Online 26 March 2022.
DOI
10.2991/aebmr.k.220307.470How to use a DOI?
Keywords
Twitch; video game; livestream; e-sports industry; data analysis; prospect prediction
Abstract

With the continuous improvement of the technological level of networks, terminals, and videos, people’s demand for entertainment consumption has expanded rapidly, and the country’s policy to promote the upgrading of residents’ consumption structure has promoted the vigorous development of the e-sports industry. The game live broadcast is an important part of the e-sports industry. Its real-time interactivity and unique display receive many audience’s attention and love. Live broadcasting is not only a way of information transmission, but also an entertainment and cultural phenomenon. The theme is favored by venture capital, attracting the participation of many anchors and players, and generating huge traffic and revenue. As competition intensifies, the trends, problems behind this industry are worth digging into.

Using clustering, classification, etc. to analyze the Twitch Livestream data in 2016- 2021, which comes from Kaggle.com, the article would research the audience, earnings, and prospects in the video game livestream industry.

Through the analysis of the article, it is found that the distribution of Twitch users is unbalanced at present and the market competition is becoming intensified. Therefore, some suggestions are given, such occupying the high user traffic entrance, expanding the industrial chain.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
26 March 2022
ISBN
10.2991/aebmr.k.220307.470
ISSN
2352-5428
DOI
10.2991/aebmr.k.220307.470How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Luwei Yao
PY  - 2022
DA  - 2022/03/26
TI  - Video Game Livestream Trend Analysis Based on Twitch Livestream Data
BT  - Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
PB  - Atlantis Press
SP  - 2890
EP  - 2895
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220307.470
DO  - 10.2991/aebmr.k.220307.470
ID  - Yao2022
ER  -