JAROSŁAW JANKOWSKI, PHD DSc
Associate Professor at the Department of Computer Science and Information Technology at West Pomeranian University of Technology in Szczecin, Poland.
Research interests are related to social networks, information diffusion, human-computer interaction and online marketing. Solid theoretical and practical knowledge of online marketing, compounded by experience in tracking systems and optimization techniques. Ph.D. in Computer Science from the Technical University of Szczecin. Minor field features online marketing, decision support, decisions under uncertainty and fuzzy modeling. Online experiences since 2000 and engagement in several projects related to marketing programs, ad management systems, campaigns monitoring and trafficking, online social platforms and virtual worlds.
Key lectures: Web systems and applications, Digital marketing, Online information systems, User centered design
RECENT PUBLICATIONS
A Baczkiewicz, J Watrobski, J Jankowski, W Salabun, Multi-criteria Temporal Intelligent Decision Support System for Sustainable Energy Mix Assessment
Asian Conference on Intelligent Information and Database Systems, 95-106, 2024
I Rejer, J Jankowski, J Dreger, K Lorenz, Viewer Engagement in Response to Mixed and Uniform Emotional Content in Marketing Videos An Electroencephalographic Study, Sensors 24 (2), 517, 2024
B Kizielewicz, J Wieckowski, J Jankowski, Towards Re-identification of Expert Models: MLP-COMET in the Evaluation of Bitcoin Networks
Special Sessions in the Information Technology for Business and Society 2023
B Kizielewicz, J Jankowski, Dynamic SITCOM: an innovative approach to re-identify social network evaluation models
2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS), 2, 2023
B Kizielewicz, J Wieckowski, J Jankowski, MLP-COMET-based decision model re-identification for continuous decision-making in the complex network environment
2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS), 3, 2023
K Fornalczyk, K Bortko, A Disterheft, J Jankowski, Improving the Performance of Multiscene Marketing Video Content through its Dynamics Adjustments
2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS), 2023
K Bortko, K Fornalczyk, J Jankowski, P Sulikowski, K Dziedziak, Impact of changes in chatbots facial expressions on user attention and reaction time
Plos one 18 (7), e0288122, 1,2023
S Stepien, J Jankowski, P Brodka, R Michalski, The role of conformity in opinion dynamics modelling with multiple social circles
International Conference on Computational Science, 33-47, 2, 2023
P Bartkow, K Bortko, J Jankowski, P Pazura, Modeling the impact of the habituation effect on information spreading processes with repeated contacts under an SI model
Plos one 18 (4), e0280266, 2, 2023
K Bortko, P Bartkow, J Jankowski, Modeling the Impact of Habituation and Breaks in Exploitation Process on Multi-Armed Bandits Performance
Procedia Computer Science 225, 4730-4739, 2023
K Fornalczyk, K Bortko, A Disterheft, J Jankowski, Modeling the Impact of Video Dynamics on User Engagement and Eye Tracking Patterns
Procedia Computer Science 225, 4740-4749, 2023
M Ziolo, P Brodka, A Spoz, J Jankowski, Modeling the impact of external influence on green behaviour spreading in multilayer financial networks
2022 IEEE 9th International Conference on Data Science, 1, 2022
A Lewandowska, M Dzisko, J Jankowski, Investigation the role of contrast on habituation and sensitisation effects in peripheral areas of graphical user interfaces
Scientific Reports 12 (1), 15281, 2, 2022
I Rejer, J Jankowski, fGAAM: A fast and resizable genetic algorithm with aggressive mutation for feature selection
Pattern Analysis and Applications, 1-17, 9, 2022
A Lewandowska, I Rejer, K Bortko, J Jankowski, Eye-tracker study of influence of affective disruptive content on users visual attention and emotional state
Sensors 22 (2), 547, 16, 2022
A Lewandowska, A Olejnik-Krugly, J Jankowski, M Dzisko, Subjective and objective user behavior disparity: Towards balanced visual design and color adjustment
Sensors 21 (24), 8502, 8, 2021
J Jankowski, Habituation effect in social networks as a potential factor silently crushing influence maximisation efforts
Scientific reports 11 (1), 19055, 6, 2021
A Olejnik-Krugly, A Lewandowska, M Dzisko, J Jankowski, Towards Effective Visual Communication with Positive user Experience: High Contrast and Visibility vs. user-Friendliness/Positive Perception, 2021
A Karczmarczyk, J Jankowski, J Watrobski, Multi-criteria seed selection for targeted influence maximization within social networks
International conference on computational science, 454-461, 2021
A Karczmarczyk, J Jankowski, J Watrobski, OONIS - Object-oriented network infection simulator, SoftwareX 14, 100675, 9, 2021
A Karczmarczyk, J Jankowski, J Watrobski, Multi-criteria seed selection for targeting multi-attribute nodes in complex networks
Symmetry 13 (4), 731, 5, 2021
P Brodka, J Jankowski, R Michalski, Sequential seeding in multilayer networks, Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (3), 11, 2021
K Fornalczyk, K Bortko, J Jankowski, Improving user attention to chatbots through a controlled intensity of changes within the interface
Procedia Computer Science 192, 5112-5121, 5, 2021
K Bortko, K Fornalczyk, J Jankowski, Towards Effective Peripherial Chatbot Communication with Adjustable Intensity of Content Changes, 2021
A Karczmarczyk, J Watrobski, J Jankowski, Seeding for Complementary Campaign Objectives in Social Networks. AMCIS, 2021
R Michalski, J Jankowski, P Brodka, Effective influence spreading in temporal networks with sequential seeding IEEE Access 8, 151208-151218, 15, 2020
R Michalski, J Jankowski, P Pazura, Entropy-based measure for influence maximization in temporal networks
International Conference on Computational Science, 277-290, 8, 2020
P Brodka, K Musial, J Jankowski, Interacting spreading processes in multilayer networks: A systematic review, IEEE Access 8, 10316-10341, 57, 2020
K Bortko, J Jankowski, P Bartkow, P Pazura, B smialkowska, Attracting user attention to visual elements within website with the use of Fittss law and flickering effect
Procedia Computer Science 176, 2756-2763, 12, 2020
K Bortko, J Jankowski, P Pazura, From perceptual to algorithmic evaluation of recommending interfaces survival in visual space, Procedia Computer Science 176, 2736-2745, 2020 0
P Pazura, J Jankowski, K Bortko, Modeling the performance of limiting information spreading processes under competing linear threshold model
Procedia Computer Science 176, 3751-3760, 4, 2020
J Jankowski, P Bartkow, P Pazura, K Bortko, Evaluation of the costs of delayed campaigns for limiting the spread of negative content, panic and rumours in complex networks
Computational Science - ICCS 2020: 20th International Conference, Amsterdam, 2020
P Pazura, K Bortko, J Jankowski, R Michalski, A dynamic vote-rank based approach for effective sequential initialization of information spreading processes within complex networks
Computational Science - ICCS 2020: 20th International Conference, Amsterdam, 2020
Jankowski, J., Hamari J., Watrobski, J., A gradual approach for maximising user conversion without compromising experience with high visual intensity website elements, Internet Research 29 (1), 194-217, 2019
Watrobski, J., Jankowski, J., Ziemba P., Karczmarczyk A., Zioło M., Generalised framework for multi-criteria method selection, Omega, in Press
Karczmarczyk A., Jankowski, J., Watrobski, J., Multi-criteria decision support for planning and evaluation of performance of viral marketing campaigns in social networks, PloS one 13 (12), e0209372, 2, 2018
Jankowski, J., Waniek M., Alshamsi A., Brodka P., Michalski R., Strategic distribution of seeds to support diffusion in complex networks, PloS one 13 (10), e0205130
Jankowski, J., Szymanski B.K., Kazienko P., Michalski R., Brodka P., Probing Limits of Information Spread with Sequential Seeding, Scientific reports 8 (1), 13996, 2 2018
Watrobski, J., Ziemba E., Karczmarczyk A., Jankowski, J., An Index to Measure the Sustainable Information Society: The Polish Households Case, Sustainability 10 (9), 3223, 3, 2018
Lewandowska, A., & Jankowski, J. (2017). The negative impact of visual web advertising content on cognitive process: towards quantitative evaluation. International Journal of Human-Computer Studies, 108, 41-49.
Jankowski, J., Michalski, R., Brodka, P., A multilayer network dataset of interaction and influence spreading in a virtual world, Scientific data 4, 170144
Rejer, I., Jankowski, J., Brain activity patterns induced by interrupting the cognitive processes with online advertising, Cognitive Processing, 1-12
Jankowski, J., Zioło, M., Karczmarczyk, A., Watrobski, J., Towards sustainability in viral marketing with user engaging supporting campaigns, Sustainability 10 (1), 15
Jankowski, J., Brodka, P., Kazienko, P., Szymanski, B., Kajdanowicz, T. Michalski, R.: Balancing Speed and Coverage by Sequential Seeding in Complex Networks, Scientific Reports 7, Article number: 891 (2017) [Link]
Jankowski, J., Dynamic Rankings for Seed Selection in Complex Networks, Entropy 2017, 19(4), 170 [Link]
Jankowski, J., Brodka, P., & Hamari, J. (2016). A picture is worth a thousand words: an empirical study on the influence of content visibility on diffusion processes within a virtual world. Behaviour & Information Technology, 35(11), 926-945.
Jankowski, J., Kazienko, P., Watrobski, J., Lewandowska, A., Ziemba, P., & Zioło, M. (2016). Fuzzy multi-objective modeling of effectiveness and user experience in online advertising. Expert Systems with Applications, 65, 315-331.
Jankowski, J., Kolomvatsos, K., Kazienko, P., & Watrobski, J. (2016). Fuzzy Modeling of User Behaviors and Virtual Goods Purchases in Social Networking Platforms. Journal of Universal Computer Science, 22(3), 416-437.
Utz, S., & Jankowski, J. (2016). Making friends in a virtual world: The role of preferential attachment, homophily, and status. Social Science Computer Review, 34(5), 546-566.
Jankowski, J., Saganowski, S., & Brodka, P. (2016). Evaluation of TRANSFoRm Mobile eHealth Solution for Remote Patient Monitoring during Clinical Trials. Mobile Information Systems, 2016.
Watrobski, J., Ziemba, P., Jankowski, J., & Zioło, M. (2016). Green Energy for a Green City—A Multi-Perspective Model Approach. Sustainability, 8(8), 702.
Rozewski, P., Jankowski, J., Brodka, P., Michalski, R. (2015). Knowledge workers - collaborative learning behavior modeling in an organizational social network. Computers in Human Behavior, 51, 1248-1260.
Rozewski, P., & Jankowski, J. (2015). Model of multilayer knowledge diffusion for competence development in an organization. Mathematical Problems in Engineering, 2015
Jankowski, J., Michalski, R., Brodka, P., Kazienko, P., & Utz, S. (2015). Knowledge acquisition from social platforms based on network distributions fitting. Computers in Human Behavior, 51, 685-693.
Goode, S., Shailer, G., Wilson, M., & Jankowski, J. (2014). Gifting and status in virtual worlds. Journal of Management Information Systems, 31(2), 171-210.
AREAS OF INTERESTS
SOCIAL MEDIA AND SOCIAL NETWORk analysis
Social media, social networks, complex networks, social networking platforms, dynamic networks, virtual goods, virtual worlds, social relations, visual network analysis, social big data
INFORMATION DIFFUSION IN COMPLEX NETWORKS
Dynamics of information spreading, social influence, seeding strategies, agent based modelling, sequential seeding, adaptive seeding, viral marketing, word of mouth, epidemic models, social contagion
Agent based SIMULATIONS AND modeling
Simulation models, socio-technical systems, information flow, predictions, agent-based social simulation, prediction, social dynamics, behavioral models, evolution monitoring
human-computer interaction
Web systems, usability, web interfaces, recommending interfaces, web design, clicks tracking, eye tracking, persuasion, interruptions of cognitive processess
digital marketing AND ADAPTIVE CONTENT
Personalization, conversion optimization, user modeling, adaptive marketing content, ad server technologies, content morphing, perceptual studies, intrusiveness of marketing content
DECISION SUPPORT SYSTEMS
Multi-objective optimization, fuzzy systems, fuzzy modelling, uncertainty, expert systems, multi-criteria decision analysis, compromise solutions, mixture models