Attila Sóti

57204734136

Publications - 4

Influence of Twitter activity on the stock price of soccer clubs

József Stéger Attila Sóti Alessandro Ancarani Gabor Vattay

Publication Name: Social Network Analysis and Mining

Publication Date: 2020-12-01

Volume: 10

Issue: 1

Page Range: Unknown

Description:

The interrelation between the fluctuations of stock prices of football clubs and the social media activity of their fans is of major economic interest. The results in this research provide measurable support for the suggestion that financial market activities and the number of tweets are linked in the case of big football clubs. The novelty of the research is to show which daily ratio of tweet counts and their mood can predict the stock market. Based on these findings, sport managers could use social media strategically to build better relationships with consumers and stakeholders.

Open Access: Yes

DOI: 10.1007/s13278-020-00691-2

On the Python programming language for statisticians

Attila Sóti

Publication Name: Statisztikai Szemle

Publication Date: 2020-01-01

Volume: 98

Issue: 4

Page Range: 324-352

Description:

This study provides easily accessible introduction to the Python programming language for readers who are beginners in software development but proficient in statistics. The tutorial presents the beauty of Python programming, outlines a path to an easily executable code and also highlights pitfalls of Python. Most of the statistical methods used as an example are deliberately basic, with the exception of cluster analysis. As a final step, the importance of data visualization is highlighted and examples of the possible use of Python in this area are given

Open Access: Yes

DOI: 10.20311/stat2020.4.hu0324

Urban scaling of football followership on Twitter

Eszter Bokányi Attila Sóti Gabor Vattay

Publication Name: 9th IEEE International Conference on Cognitive Infocommunications Coginfocom 2018 Proceedings

Publication Date: 2018-07-02

Volume: Unknown

Issue: Unknown

Page Range: 423-426

Description:

Social sciences have an important challenge today to take advantage of new research opportunities provided by large amounts of data generated by online social networks. Because of its marketing value, sports clubs are also motivated in creating and maintaining a stable audience in social media. In this paper, we analyze followers of prominent footballs clubs on Twitter by obtaining their home locations. We then measure how city size is connected to the number of followers using the theory of urban scaling. The results show that the scaling exponents of club followers depend on the income of a country. These findings could be used to understand the structure and potential growth areas of global football audiences.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2018.8639938

Urban scaling of football followership on Twitter

Eszter Bokányi Attila Sóti Gabor Vattay

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2018-01-01

Volume: 15

Issue: 5

Page Range: 239-250

Description:

Social sciences have an important challenge today to take advantage of new research opportunities provided by large amounts of data generated by online social networks. Because of its marketing value, sports clubs are also motivated in creating and maintaining a stable audience in social media. In this paper, we analyze followers of prominent footballs clubs on Twitter by obtaining their home locations. We then measure how city size is connected to the number of followers using the theory of urban scaling. The results show that the scaling exponents of club followers depend on the income of a country. These findings could be used to understand the structure and potential growth areas of global football audiences.

Open Access: Yes

DOI: 10.12700/APH.15.5.2018.5.14