Social Media Analysis Group (SOMEA)

Keywords: Social media

Description

The SOMEA research group ihas been established  around 2008-2009. It has concentrated on analysis of real online social networks.  The current main activity is to develop computerized data gathering and analysis tools. The analysis of the data gathered from real social media sites, such as Vkontakte, Twitter, Youtube, Livejournal, Facebook, and many other sites has been performed since then. The goal is often to gather longitudinal data, so that the development of various interesting phenomena can be captured. The  research is intended to be multidiscpilinary, meaning that the multimedia data gathered is analysed using methods of different sciences, such as mathematical modeling, sociology, psychology,  linguistics, and computer science.  The latter would provide software-based tools for the other disciplines. Developing the tools and algorithms for other fields is a tough computer science and software engineering challenge as such. 

Primary research directions:

1) Modeling social media; primarily graph theory and dynamic networks

2) Social media monitoring software construction

3) Online social media analysis using computerized tools and multidisciplinary approaches

4) Hate groups, trolls, fake profiles,  advanced persistent threats launched through social media 

5) Recommender systems; new  recommendation algorithms, serendipity in recommender systems  

Discipline

Software and Telecommunication Technology

Staff

  • Jari Veijalainen Professor, Dr.-Ing. jari.a.veijalainen@jyu.fi
  • Jorma Kyppö Ph.D., Researcher, jorma.kyppo@jyu.fi
  • Alexander Semenov Postdoctoral researcher, alexander.v.semenov@jyu.fi
  • Aleksei Romanov Doctoral student, aleksei.s.romanov@jyu.fi
  • Denis Kotkov Doctoral student, denis.i.kotkov@student.jyu.fi
  • Guarav Pandey Doctoral student, gaurav.g.pandey@student.jyu.fi
  • Dicle Berfin Köse, Doctoral student, dibekose@student.jyu.fi

 

Cooperation:

 

Open Positions

 

Master Theses Proposals:

Social Media Analysis Group Master Theses

1. Social media monitoring software construction

Theme 1.1 Research and development of the thematic web-crawler
Theme 1.2 Hidden-web and AJAX crawling
Theme 1.3 Database design issues for very large social networks
Theme 1.4 Analysis software of the gathered social network data
Theme 1.5 Design and construction of user-interaction and the user interface to the software (human-computer interaction)
Theme 1.6 detection of the sentiment in multimedia data (video, audio)
Theme 1.7 detection of particular patterns in video and pictures
Theme 1.8 natural language processing for concepts extraction and sentiment detection


2. Modeling social media; primarily graph theory and dynamic networks

Theme area 2.1: General theory of dynamic networks
Theme area 2.2 Analysis of real virtual communities in the light of dynamic network theories


3. Online social media analysis using computerized tools and multidisciplinary approaches

Theme 3.1 Application of social theories to virtual communities
3.1.1. grounded theory analysis of Twitter discussions on certain topic (using automatic data harvesting and monitoring)
3.1.2. grounded theory analysis of YouTube media channels on certain topic (using automatic data harvesting and monitoring)
3.1.3. analysis of rumors and information spreading in social media
Theme 3.2 Virtual hate group behavior research
3.2.1 Analysis of online hate communities in different social media
3.2.2 Structure and interrelation of hate groups in social media
3.2.3 Detection of trolls at social media sites 

Selected Publications

  • Veijalainen J.,Semenov A., Kyppo J., (2010)Tracing potential school shooters in the digital sphere. Proc. Of ISA 2010 conference, Miyazaki, Japan, June 2010. CCIS # 76, Springer Verlag 2010, pp.163-178
  • Semenov, A., Veijalainen, J. & Kyppö, J (2010). Analysing the presence of school-shooting related communities at social media sites. International Journal of Multimedia Intelligence and Security (IJMIS), 1 (3), 232-268
  • Semenov A., Veijalainen J., Boukhanovsky A. (2011). A generic Architecture for a Social Network Monitoring and Analysis System. 14th International Conference on Network-Based Information Systems (NBiS), pp.178-185, 7-9 Sept. 2011, doi: 10.1109/NBiS.2011.52
  • Semenov A., Veijalainen J. (2012). Ontology-Guided Social Media Analysis, System Architecture, SCOE Special Session, In conjunction with the 14th International Conference on Enterprise Information Systems - ICEIS 2012, Wroclaw, Poland
  • Semenov A., Veijalainen J. (2012). A Repository for multirelational dynamic networks, International Workshop on Complex Social Network Analysis (CSNA), The 2012 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012, Istanbul, Turkey
  • Semenov A., Veijalainen J. (2012). A modeling framework for social media monitoring. IJWET   Vol 8 (3),pp. 217-249. DOI:10.1504/IJWET.2013.057226 
  • Semenov A. (2013). Analysis of services in Tor network. 12th European Conference on Information Warfare and Security ECIW-2013, Jyväskylä, Finland. 11 pages.
  • Semenov A., Nikolaev A., & Veijalainen J (2013), "Online Activity Traces Around a "Boston Bomber"", International Symposium on Foundation of Open Source Intelligence and Security Informatics, In Proceedings of 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Niagara Falls, ON, Canada, August 25-28, 2013, pp. 1050-1053
  • Semenov A.,Veijalainen J., Hajeer M., Dasgupta D. (2014), "Political Communities in Russian Portion of LiveJournal". In the Proceedings of International Conference on Computational Science and Computational Intelligence (CSCI) . Las Vegas, USA: March, 2014. pp. 314-319.   DOI 10.1109/CSCI.2014.61 
  • Stearns, M., Nambiar, S., Nikolaev, A., Semenov A., McIntosh, S., Towards evaluating and enhancing the reach of online health forums for smoking cessation. Network Modeling Analysis in Health Informatics and Bioinformatics Vol. 3 (2014): No. 69. DOI:10.1007/s13721-014-0069-7
  • Duvanova D., Nikolaev A., Semenov A., Do social networks bridge political divides? The analysis of VKontakte social network communication in Ukraine, Post-Soviet Affairs, 1-26, Printed online 2014
  • M. Hajeer, D. Dasgupta, A. Semenov, and J. Veijalainen, “Distributed evolutionary approach to data clustering and modeling,” in 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 2014, pp. 142–148. DOI10.1109/CIDM.2014.7008660  
  • B. Zhang, A. Semenov, M. Vos, and J. Veijalainen, “Understanding Fast Diffusion of Information in the Social Media Environment. A Comparison of Two Cases.,” 2014. In ICC 2014 Conference Proceedings, pp. 522-533.
  • S. Huang, S. Wang, T.-Y. Liu, J. Ma, Z. Chen, J. Veijalainen. Listwise Collaborative Filter. In Proceedings of the 38th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-15), pp. 343-352, Santiago, Chile, August 9-13, 2015. (JUFO-2) OA: https://www.researchgate.net/publication/281834616

  •  A. Farseev, D. Kotkov, A. Semenov, J. Veijalainen, T.-S. Chua, Cross-Social Network Collaborative Recommendation. Proceedings of the ACM Web Science Conference, ACM DL (JUFO-1) DOI:10.1145/2786451.2786504, OA http://mb-guide.azurewebsites.net/eng/WebSci2015.pdf

  • B. Zhang, M. Vos, J. Veijalainen, S. Wang, D. Kotkov. The Issue Arena of a Corporate Social Responsibility Crisis – The Volkswagen Case in Twitter. Studies in Media and Communication, 4(2): 32-43, 2016 (JUFO-1). OA: http://urn.fi/URN:NBN:fi:jyu-201608123784

  • Duvanova, D., Nikolaev,A., Nikolsko-Rzhevskyy, A., Semenov, A.,
    Violent conflict and online segregation: An analysis of social network communication across Ukraine's regions. Journal of Comparative Economics Vol. 44 (2016), No. 1 (Feb.), pp. 163–181.

  • D. Kotkov, S. Wang, J. Veijalainen. Cross-Domain Recommendations with Overlapping Items. Proceedings of the 12th International Conference on Web Information Systems and Technologies (WEBIST’16), pp. 131-138. SCITEPRESS. doi:10.5220/0005851301310138 (JUFO-1). OA: http://urn.fi/URN:NBN:fi:jyu-201605122518

  • D. Kotkov, J. Veijalainen, S. Wang. Challenges of Serendipity in Recommender Systems. Proceedings of the 12th International Conference on Web Information Systems and Technologies (WEBIST’16), pp. 251-256, Rome, Italy, April 23-25, 2016. SCITEPRESS. doi:10.5220/0005879802510256  (JUFO-1). OA: http://urn.fi/URN:NBN:fi:jyu-201605122517

  • B. Zhang, J. Veijalainen, D. Kotkov. Volkswagen Emission Crisis : Managing Stakeholder Relations on the Web. In: Proceedings of the 12th International Conference on Web Information Systems and Technologies (WEBIST ‘16). Vol. 1, pp. 176-187.  SCITEPRESS. DOI:10.5220/0005892401760187 (JUFO-1). OAhttp://urn.fi/URN:NBN:fi:jyu-201605122520

  • D. Köse, J Veijalainen, A Semenov, Identity Use and Misuse of Public Persona on Twitter. In: Proceedings of the 12th International Conference on Web Information Systems and Technologies (WEBIST ‘16). Vol. 1, pp. 164-175. SCITEPRESS DOI: 10.5220/0005859001640175, (JUFO-1). OA:  http://urn.fi/URN:NBN:fi:jyu-201605122516

  • A. Eremeev, G. Korneev, A. Semenov, J. Veijalainen, The Spanning-tree Based Approach for Solving the Shortest Path Problem in Social Graphs. In: Proceedings of the 12th International Conference on Web Information Systems and Technologies (WEBIST ‘16). Vol. 1, pp. 42-53. SCITEPRESS, DOI:  10.5220/0005859400420053 (JUFO-1).  OA:  http://urn.fi/URN:NBN:fi:jyu-201603281950  

  • Kyppö, J. 2016. The N-dimensional N-person Chesslike Game Strategy Analysis Model. The PhD Thesis. Jyväskylä Studies in Computing. Research series published by University of Jyväskylä, 2016, 256 pages. http://urn.fi/URN:ISBN:978-951-39-6878-6

  • B. Zhang, D. Kotkov, J. Veijalainen, A. Semenov. Online Stakeholder Interaction of Some Airlines in the Light of Situational Crisis Communication Theory. Proc. of 15th IFIP WG 6.11 Conf. on e-Business, e-Services, and e-Society, I3E 2016, Springer LNCS 9844, pp. 183-192. DOI: 10.1007/978-3-319-45234-0_17 (JUFO-1).

  • D. Kotkov, S. Wang, J. Veijalainen. A Survey of Serendipity in Recommender Systems. Knowledge-Based Systems, Vol. 111, No. 1 (Nov. 2016), pp. 180–192. DOI: 10.1016/j.knosys.2016.08.014 (JUFO-1) OA: https://www.researchgate.net/publication/306075233

  • S. Wang, S. Huang, T.-Y. Liu, J. Ma, Z. Chen, J. Veijalainen. Ranking-oriented Collaborative Filtering: A Listwise Approach. ACM Transactions on Information Systems (TOIS), Volume 35 Issue 2, September 2016 Article No. 10. DOI: 10.1145/2960408  (JUFO-3)

  • B. Zhang, M. Vos, J. Veijalainen. Decomposing issue patterns during a crisis to facilitate understanding of public perceptions. International Journal of Emergency Management (JUFO-1, in print).

  • D. Kotkov, J. Veijalainen, S. Wang, A Serendipity-Oriented Greedy Algorithm for Recommendations.  Presented at WEBIST 2017 Conference. In: Proceedings of the 13th International conference on web information systems and technologies. SCITEPRESS, 2017. (Forthcoming).

  • B. Zhang, J. Veijalainen, D. Kotkov,. Samsung and Volkswagen Crisis Communication in Facebook and Twitter: A Comparative Study. Presented at WEBIST 2017 Conference. In: Proceedings of the 13th International conference on web information systems and technologies. SCITEPRESS, 2017. (Forthcoming)

  • A. Romanov, A. Semenov, O. Mazhelis, J. Veijalainen. Detection of Fake Profiles in Social Media: Literature Review. Presented at WEBIST 2017 Conference. In: Proceedings of the 13th International conference on web information systems and technologies. SCITEPRESS, 2017. (Forthcoming)

  • A. Romanov, A. Semenov, J. Veijalainen. Revealing Fake Profiles in Social Networks by Longitudinal Data Analysis. Presented at WEBIST 2017 Conference. In: Proceedings of the 13th International conference on web information systems and technologies. SCITEPRESS, 2017. (Forthcoming).

  • A. Semenov, J. Veijalainen, A. Romanov, A Repository for Multirelational Dynamic Networks.  Encyclopedia of Social Network Analysis and Mining, Springer. (under review).