Emotional persistence in online chatting communities

Scientific Reports

Volumn 2, Issue , 2012, Pages

  Garas, Antonios ^a   Garcia, David ^a   Skowron, Marcin ^b   Schweitzer, Frank ^a  

^a ETH ZURICH   (Switzerland)

^b AUSTRIAN RESEARCH INSTITUTE FOR ARTIFICIAL INTELLIGENCE   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; EMOTION; HUMAN; HUMAN RELATION; INTERNET; INTERPERSONAL COMMUNICATION; SOCIAL BEHAVIOR; SOCIAL SUPPORT; STATISTICAL MODEL; STATISTICS; UTILIZATION REVIEW;

ALGORITHMS; COMMUNICATION; EMOTIONS; HUMANS; INTERNET; INTERPERSONAL RELATIONS; MODELS, STATISTICAL; SOCIAL BEHAVIOR; SOCIAL SUPPORT;

EID: 84861169633     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep00402     Document Type: Article

References (41)

1. Oliveira, J. G. & Barabási, A. L. Human Dynamics: The Correspondence Patterns of Darwin and Einstein. Nature 437, 1251 (2005). (Pubitemid 41568662)
2. Barabási, A.-L. The origin ofbursts and heavy tails in human dynamics. Nature 435, 207-11 (2005). (Pubitemid 40685946)
3. Malmgren, R. D., Stouffer, D. B., Motter, A. E. & Amaral, L. a. N. A Poissonian explanation for heavy tails in e-mail communication. Proc. Natl. Acad. Sci. U.S.A 105, 18153-8 (2008).
4. Jo, H.-H., Karsai, M., Kertész, J. & Kaski, K. Circardian pattern and burstiness in mobile phone communication. New J. Phys. 14, 013055 (2012).
5. Rybski, D., Buldyrev, S., Havlin, S., Liljeros, F. & Makse, H. Scaling laws of human interaction activity. Proc. Natl. Acad. Sci. U.S.A 106, 12640 (2009).
6. Grinstein, G. & Linsker, R. Power-law and exponential tails in a stochastic priority-based model queue. Phys. Rev. E 77, 012101 (2008).
7. Crane,R.,Schweitzer,F. &Sornette,D. Powerlawsignature of mediaexposurein human response waiting time distributions. Phys. Rev. E 81, 56101 (2010).
8. Vázquez, A. et al. Modeling bursts and heavy tails in human dynamics. Phys. Rev. E 73, 036127 (2006).
9. Clauset, A., Shalizi, C. R. & Newman, M. E. J. Power-law distributions in empirical data. SIAMReview 51, 661-703 (2009).
10. Baek, S. K., Bernhardsson, S. & Minnhagen, P. Zipf's law unzipped. New J. Phys. 13, 043004 (2011).
11. Adamic, L. Unzipping Zipf's law. Nature 474, 164 (2011).
12. Wu, Y., Zhou, C., Xiao, J., Kurths, J. & Schellnhuber, H. J. Evidence for a bimodal distribution in human communication. Proc. Natl. Acad. Sci. U.S.A 107,18803-18808 (2010).
13. Candia, J. et al. Uncovering individual and collective human dynamics from mobile phone records. J. Phys. A 41, 224015 (2011).
14. Altmann, E. & Kantz, H. Recurrence time analysis, long-term correlations, and extreme events. Phys. Rev. E 71, 56106 (2005).
15. Bunde,A.,Eichner,J.,Kantelhardt,J. &Havlin,S. Long-TermMemory: ANatural Mechanism for the Clustering of Extreme Events and Anomalous Residual Times in Climate Records. Phys. Rev. Lett. 94, 48701 (2005).
16. Wang, F., Yamasaki, K., Havlin, S. & Stanley, H. Scaling and memory of intraday volatility return intervals in stock markets. Phys. Rev. E 73, 026117 (2006).
17. Rybski, D., Buldyrev, S. V., Havlin, S., Liljeros, F., & Makse, H. A. Communication activity in social networks: growth and correlations. Eur. Phys. J. B 84, 147-159 (2011).
18. Peng,C.-K. etal. Mosaic organization ofDNA nucleotides. Phys. Rev.E49,1685-1689 (1994).
19. Kantelhardt, J. W. Fractal and multifractal time series. Encyclopedia ofComplexity and Systems Science. (Springer, 2009).
20. Garcia, D., Garas, A. & Schweitzer, F. Positive words carry less information than negative words. arXiv,1110.4123 (2011).
21. Tronick, E. Z. Emotions and emotional communication in infants. Am. Psychol. 44, 112-9 (1989).
22. Holbrook, M. B. & Batra, R. Assessing Mediators to of the Role of Emotions Responses as Consumer Advertising. J. Cons. Res 14, 404-420 (1987).
23. Izard, C. E. The Many Meanings/Aspects of Emotion: Definitions, Functions, Activation, and Regulation. Emotion Rev. 2, 363-370 (2010).
24. Mitrović, M. & Tadić, B. Bloggers behavior and emergent communities in Blog space. Eur. Phys. J. B 73, 293-301 (2009).
25. Chmiel, A. et al. Negative emotions boost users activity at BBC Forum. Physica A 390, 2936 (2011).
26. Rime, B. Emotion Elicits the Social Sharing of Emotion: Theory and Empirical Review. Emotion Review 1, 60-85 (2009).
27. Schweitzer, F. & Garcia, D. An agent-based model ofcollective emotions in online communities. Eur. Phys. J. B 77, 533-545 (2010).
28. Kappas, A., Tsankova, E., Theunis, M. & Küster, D. CyberEmotions: Subjective and physiological responses elicited by contributing to online discussion forums. Posterpresented at the 51stAnnual Meetingof the Society for Psychophysiological Research, Boston, Massachusetts (2011).
29. Küster, D., Tsankova, E., Theunis, M. & Kappas, A. Measuring CyberEmotions: How do bodily responses relate to the digital world? Posterpresented at the 7th Conference of the Media Psychology Division of the Deutsche Gesellschaftfuer Psychologie, Bremen, Germany (2011).
30. Schweitzer, F. Brownian Agents and Active Particles. Collective Dynamics in the Natural and Social Sciences, Springer Series in Synergetics. (Springer, Berlin), 1st editio edition, p. 420 (2003).
31. Garcia,D. &Schweitzer,F. Emotions inproductreviews- Empiricsandmodelsed. Randy Bilof (IEEE Computer Society, Boston, Massachusetts), pp. 483-488 (2011).
32. Russell, J. A. A circumplex model ofaffect. J. Pers. Soc. Psychol. 39, 1161-1178 (1980).
33. Kuppens, P., Oravecz, Z. & Tuerlinckx, F. Feelings change: Accounting for individual differences in the temporal dynamics ofaffect. J. Pers. Soc. Psychol. 99, 1042-1060 (2010).
34. Preston, S. D. & de Waal, F. B. M. Empathy: Its ultimate and proximate bases. Behav. Brain Sci. 25, 1-20; discussion 20-71 (2002). (Pubitemid 36150071)
35. Christophe, V. & Rime, B. Exposure to the social sharing ofemotion: Emotional impact, listener responses and secondary social sharing. Eur. J. Soc. Psychol. 27, 37-54 (1997).
36. Thelwall, M., Buckley, K., Paltoglou, G., Cai, D. & Kappas, A. Sentiment strength detection in short informal text. J. Am. Soc. Inf. Sci. Technol. 61, 2544-2558 (2010).
37. Thelwall, M., Buckley, K. & Paltoglou, G. Sentiment strength detection for the social web. J. Am. Soc. Inf. Sci. Technol. 63, 163-173 (2012).
38. Kucuktunc, O., Cambazoglu, B. B., Weber, I. & Ferhatosmanoglu, H. A Large-Scale Sentiment Analysis for Yahoo ! Answers. Proc. of the 5thACM Int. Conf. on Web Search and Data Mining (2012).
39. Paltoglou, G., Gobron, S., Skowron, M., Thelwall, M. & Thalmann, D. Sentiment analysis of informal textual communication in cyberspace. (Citeseer), pp. 13-23 (2010).
40. Thelwall, M., Buckley, K. & Paltoglou, G. Sentiment in Twitter events. J. Am. Soc. Inf. Sci. Technol. 62, 406-418 (2011).
41. Hurst,H.E.Long-termstoragecapacityofreservoirs.Am. Soc. Civ.Eng. 116,770-808 (1951).