Language Processes and Related Statistics in the Posts Associated to Disasters on Social Networks
Keywords:
social networks, disaster, analytics, language statistics, correlative analysis, Zipf’s law, dynamicsAbstract
This paper provides a detailed and long-period statistics of the use of synonyms in posts related to specific events on social networks (SNs), an extended analysis of the correlations of the flows of the synonyms in such posts, a study of the applicability of Zipf’s law to posts related to specific events on SNs, and an analysis of the dynamics of the fluxes of synonyms in the posts. The paper also introduces the study of the distances in the phase space for the characterization of the dynamics of the word fluxes on social networks. This article is a partial report on recent research performed for a deeper analysis of social networks and of processes developing on social networks, including used lexicon, dynamics of messages related to a specific type of topic, and relationships of the processes on SNs with external events.References
Abbasi, M.A. et al. (2012), Lessons Learned in Using Social Media for Disaster Relief - ASU risis Response Game, Social Computing, Behavioral - Cultural Modeling and Prediction, pringer, LNCS 7227:282-289.
Acar, A.; Muraki, Y.(2011); Twitter for Crisis Communication: Lessons Learned from apan's Tsunami Disaster, Int. J. Web Based Communities, 7(3): 392-402. http://dx.doi.org/10.1504/IJWBC.2011.041206
Anderson, K.M.; Schram, A. (2011); Design and Implementation of a Data Analytics Infrastructure n Support of Crisis Informatics Research (NIER Track), The 33rd Int. Conf. oftware Engineering, ICSE'11, Waikiki, Honolulu, USA, May 21-28, ACM, 844-847.
Bolea, S.C. (2015); Vocabulary, Synonyms and Sentiments of Hazard-Related Posts on Social etworks, 8th IEEE Int. Conf. on Speech Technology and Human-Computer Dialogue, PED, Bucharest, Romania, October 14-17.
Boulos, M.N.K. et al. (2010), Social Web Mining and Exploitation for Serious Alications: echnosocial Predictive Analytics and Related Technologies for Public Health, Environmental nd National Security Surveillance, Computer Methods and Programs in Biomedicine, 00(1): 16-23. http://dx.doi.org/10.1016/j.cmpb.2010.02.007
Bruns, A.; Burgess, J.E. (2012); Local and Global Responses to Disaster: #eqnz and the hristchurch Earthquake, Disaster and Emergency Management Conf., Proc., AST Management ty Ltd, pp. 86-103.
Cambria, E. et al. (2013), New Avenues in Opinion Mining and Sentiment Analysis, IEEE ntelligent Systems, doi:10.1109/MIS.2013.30, 28(2): 15-21. http://dx.doi.org/10.1109/MIS.2013.30
Ciobanu, A. et al. (2014), Automatic Fury Recognition in Audio Records, Proc. 12th Int. onference on Development and Application Systems (DAS), Suceava, Romania, May 15-17, 76-179.
Feraru, S.M. et al. (2010), SRoL - Web-Based Resources for Languages and Language Technology -Learning, International Journal Computers Communications & Control, 5(3): 301- 13. http://dx.doi.org/10.15837/ijccc.2010.3.2483
Kryvasheyeu, Y. et al. (2016), Rapid Assessment of Disaster Damage Using Social Media ctivity, Science Advances, DOI: 10.1126/sciadv.1500779, 2(3):e1500779. http://dx.doi.org/10.1126/sciadv.1500779
Merchant, R.M. et al. (2011), Integrating Social Media into Emergency-Preparedness Efforts, he New England Journal of Medicine, 365:289-291. http://dx.doi.org/10.1056/NEJMp1103591
Nakov, P. et al. (2013), SemEval-2013 Task 2: Sentiment Analysis in Twitter, 2nd Joint onf. Lexical and Computational Semantics (*SEM), 7th Int. Workshop SemEval,Atlanta, une 14-15, 2:312-320.
Pavaloi, I. et al. (2013), Acoustic Analysis Methodology on Romanian Language Vowels for ifferent Emotional States, Proc. Int. Symposium on Signals, Circuits and Systems (ISSCS), asi, Romania, July 11-12.
Piantadosi, S. T. (2014); Zipf's Word Frequency Law in Natural Language: A Critical eview and Future Directions, Psychon Bull Rev., DOI: 10.3758/s13423-014-0585-6, 5:1112- 130. http://dx.doi.org/10.3758/s13423-014-0585-6
Pirnau, M. (2015); Tool for Monitoring Web Sites for Emergency-Related Posts and Post nalysis, 8th IEEE Int. Conf. on Speech Technology and Human-Computer Dialogue, SPED, ucharest, Romania, October 14-17.
Saharia, N. (2015); Detecting Emotion from Short Messages on Nepal Earthquake, Proceedings f the 8th International Conference on Speech Technology and Human-Computer ialogue, SPED, Bucharest, Romania, October 14-17. http://dx.doi.org/10.1109/sped.2015.7343089
Saif, H. et al.(2012), Semantic Sentiment Analysis of Twitter, Proceedings of the 11th Int. onference The Semantic Web, Part I, Boston, USA, November 11-15, pp. 508-524. http://dx.doi.org/10.1007/978-3-642-35176-1_32
Temnikova, E. et al. (2015), EMterms 1.0: A teminological Resource for Crisis Tweets, roceedings ISCRAM 2015 Conference, Kristiansand, Norway, May 24-27.
Teodorescu, H.N.L. (2015); On the Responses of Social Networks to External Events, Proc. CAI 2015 7th IEEE Int. Conf. on Electronics, Computers and Artificial Intelligence, ucharest, Romania, June 25-27, DOI: 10.1109/ECAI.2015.7301138, 13-18. http://dx.doi.org/10.1109/ECAI.2015.7301138
Teodorescu, H.N.; Bolea S. C. (2016); Analysis of Probabilities of Specified Words' Occurrences n SN Messages related to Catastrophes, 18-th Int. Conf. System Analysis and nformation Technology, SAIT, Kyiv, Ukraine, May 30-June 2.
Teodorescu, H.N. (2012); Characterization of Nonlinear Dynamic Systems for Engineering urposes - A partial Review, International Journal of General Systems, 41(8):805-825. http://dx.doi.org/10.1080/03081079.2012.725538
Teodorescu, H.N. (2013); SN Voice and Text Analysis as a Tool for Disaster Effects Estimation - A Preliminary Exploration, Proceedings 7th IEEE Conference on Speech Technology nd Human - Computer Dialogue, Cluj Napoca, Romania, October 16-19.
Teodorescu, H.N. (2016); Emergency-Related, Social Network Time Series: Description nd Analysis, Time Series Analysis and Forecasting, Contributions to Statistics, Springer nternational Publishing Switzerland, pp.205-215.
Teodorescu, H.N.L.; Bolea S.C. (2016); On the Algorithmic Role of Synonyms and Keywords n Analytics for Catastrophic Events, Proceedings ECAI-2016, 8th International Conference n Electronics, Computers and Artificial Intelligence, Ploiesti, Romania, June 30-July 2.
Teodorescu, H.N.; Feraru, S.M. (2007); A Study on Speech with Manifest Emotions, Lecture otes In Artificial Intelligence, Springer Berlin Heidelberg, 4629: 254-261.
Verma, S. et al. (2011), Natural Language Processing to the Rescue?: Extracting Situational wareness Tweets During Mass Emergency, Proc. Fifth Int. AAAI Conf. on Weblogs and ocial Media, North America, July, 385-392.
Yang M. et al. (2011), Social Media Analytics for Radical Opinion Mining in Hate Group eb Forums, J. Homeland Security and Emergency Management, August 11, 8(1), DOI: 0.2202/1547-7355.1801.
Zbancioc, M.; Feraru, M. (2012); Emotion Recognition of the SROL Romanian Database Using uzzy KNN Algorithm, Int. Symposium on Electronics and Telecommunications IEEEISETC 012 Tenth Edition, Timisoara, Romania, 347-350.
http://www.dictionardesinonime.ro/.
Published
Issue
Section
License
ONLINE OPEN ACCES: Acces to full text of each article and each issue are allowed for free in respect of Attribution-NonCommercial 4.0 International (CC BY-NC 4.0.
You are free to:
-Share: copy and redistribute the material in any medium or format;
-Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
DISCLAIMER: The author(s) of each article appearing in International Journal of Computers Communications & Control is/are solely responsible for the content thereof; the publication of an article shall not constitute or be deemed to constitute any representation by the Editors or Agora University Press that the data presented therein are original, correct or sufficient to support the conclusions reached or that the experiment design or methodology is adequate.
