Statistical Analysis of Emotions and Opinions at Digg Website

• Authors: P. Pohorecki , J. Sienkiewicz , M. Mitrović , G. Paltoglou , J. Hołyst
• Languages of publication: EN

Abstracts

EN

We performed statistical analysis on data from the Digg.com website, which enables its users to express their opinion on news stories by taking part in forum-like discussions as well as to directly evaluate previous posts and stories by assigning so called "diggs". Owing to fact that the content of each post has been annotated with its emotional value, apart from the strictly structural properties, the study also includes an analysis of the average emotional response of the comments about the main story. While analysing correlations at the story level, an interesting relationship between the number of diggs and the number of comments that a story received was found. The correlation between the two quantities is high for data where small threads dominate and consistently decreases for longer threads. However, while the correlation of the number of diggs and the average emotional response tends to grow for longer threads, correlations between numbers of comments and the average emotional response are almost zero. We also suggest presence of two different mechanisms governing the evolution of the discussion and, consequently, its length.

Keywords

EN

02.50.-r; 07.05.Hd; 89.20.Hh; 89.70.Cf

Discipline

• 89.70.Cf: Entropy and other measures of information
• 07.05.Hd: Data acquisition: hardware and software
• 02.50.-r: Probability theory, stochastic processes, and statistics(see also section 05 Statistical physics, thermodynamics, and nonlinear dynamical systems)
• 89.20.Hh: World Wide Web, Internet

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2013
• Volume: 123
• Issue: 3
• Pages: 604-615

Dates

published

2013-03

Contributors

author

P. Pohorecki

• Faculty of Physics, Center of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, PL-00-662 Warsaw, Poland

author

J. Sienkiewicz

• Faculty of Physics, Center of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, PL-00-662 Warsaw, Poland

author

M. Mitrović

• Department of Theoretical Physics, Jožef Stefan Institute, P.O. Box 3000, 1001 Ljubljana, Slovenia

author

G. Paltoglou

• Statistical Cybermetrics Research Group, School of Technology, University of Wolverhampton, Wulfruna Str., WV1 1LY Wolverhampton, United Kingdom

author

J. Hołyst

• Faculty of Physics, Center of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, PL-00-662 Warsaw, Poland

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Identifiers

DOI

10.12693/APhysPolA.123.604