Research areas

My research focus on several domains enumerated below. Its results can be found in my papers.

The studies are carried out in ENGINE - The European Centre for Data Science, as well as Social Network Group and Data Science Group.

• Complex networks, especially social networks and social network analysis (SNA). 

  The main, recent research areas in the domain of SN include:

  • Spread of influence in complex networks, especially in temporal ones
  • Models for temporal networks
  • Analysis of multilayer social networks; their extraction; measures in multilayer SNs; clustering and prediction of groups, etc.
  • Classification in social networks, collective classification
  • Sentiment and emotion analysis
  • Social networks in evaluation of organizational structures
  • Application of social network analysis in marketing, telecommunication, latent knowledge acquisition, and analysis of criminal networks

  Past conferences, workshops schools and special issues organized by us: ENIC 2016, NetSci X 2016, ENIC 2015, The Symposium NetONets 2015, BDML 2015, ENIC 2014, Wrocław, MLSMA'2014, Wrocław, The Symposium on Multiple Network Modeling, Analysis and Mining at NetSci 2013, Copenhagen and NetSci 2014, Berkeley, a special issue in Scientific Programming, CSNA 2012 and SNAA 2012 at ASONAM 2012, Istanbul, a special issue of Journal of Universal Computer Science (JUCS), SNAA 2011 at ASONAM 2011, Kaohsiung. 

  In this area we co-operate with some companies: brand24, KGHM, British Telecom, Orange, Intelligent Systems Research Centre (ISRC), Research & Engineering Center REC and Telnet. In the past also within The European Network of Excellence Nature-inspired Smart Information Systems.

• Machine learning for complex networks, relational machine learning, reasoning for linguistic and social networks, collective classification. 
   
• Prediction of future research domains taht will develop the most in the nearest future.
• Multiple model systems and hybrid prediction (classification), multi-label classification, especially for complex structures in output (structured output prediction), e.g. sequences, graphs. 

  Together with Edwin Lughofer and Bogdan Trawiński as well as previously with Oscar Cordón, we organize a series of special sessions and special issues of journals: a special issue in Soft Computing (Springer), MMAML 2013 at ACIIDS 2013, Kuala Lumpur, a special issue in Journal of Universal Computer Science (JUCS), MMAML 2012 at ACIIDS 2012, Kaohshiung, MMAML 2011 at ACIIDS 2012, Daegu, a special issue in International Journal of Applied Mathematics and Computer Science, MMAML 2010 at , Special Session on Multiple Model Approach to Machine Learning, at ACIIDS 2010, Hue City, a special issue in New Generation Computing. 
   

  My former interest domains; recently not explored intensively:

• Data analyses for medical data, see TRANSFoRm - Translational Research and Patient Safety in Europe. 
• Web-based recommender systems
  • Project ROSA (Remote Open Site Agents) - web recommender system - the part of the general concept of "adaptive web sites". The prototype not maintained any more.
  • The extension of ROSA was AdROSA - the system for personalized web adversiting (banners).
  • WindOwls - prototype e-commerce on windsurfing, in which 5 recommendation methods were integrated in the personalized and adaptive way; implemented by Paweł Kołodziejski.
  • The International Workshop on Recommender Agents and Adaptive Web-based Systems - RAAWS 2005. A special issue International Journal of Computer Science & Applications, Vol. 3 Issue 3, 2006.
  • RAAWS 2006 at KES 2006, a special issue of New Generation Computing.

   

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• Data mining in the web environment - web mining; association rules mining, especially negative ones.
• Databases for simple devices - modular databases.
• Aplications and the future of languages derivered from XML.
• Data security: electronic signature and intrusion detection systems.
• Content management systems (CMS).
• Information Retrieval in the Internet environment.