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Information spreading and influence maximization in social networks attracts attention from researchers from various disciplines. Majority of the existing studies focus on maximizing global coverage in the social network through initial seeds selection. In reality, networks are heterogeneous and different nodes can be a goal depending on campaign objectives. In this paper a novel approach with multi-attribute targeted influence maximization is proposed. The approach uses the multi-attribute nature of the network nodes (age, gender etc.) to better target specified groups of users. The proposed approach is verified on a real network and compared to the classic approaches delivers 7.14% coverage increase.
Artur Karczmarczyk; Jarosław Jankowski; Jarosław Wątrobski. Multi-criteria Seed Selection for Targeted Influence Maximization Within Social Networks. Transactions on Petri Nets and Other Models of Concurrency XV 2021, 454 -461.
AMA StyleArtur Karczmarczyk, Jarosław Jankowski, Jarosław Wątrobski. Multi-criteria Seed Selection for Targeted Influence Maximization Within Social Networks. Transactions on Petri Nets and Other Models of Concurrency XV. 2021; ():454-461.
Chicago/Turabian StyleArtur Karczmarczyk; Jarosław Jankowski; Jarosław Wątrobski. 2021. "Multi-criteria Seed Selection for Targeted Influence Maximization Within Social Networks." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 454-461.
Online environments have evolved from the early-stage technical systems to social platforms with social communication mechanisms resembling the interactions which can be found in the real world. Online marketers are using the close relations between the users of social networks to more easily propagate the marketing contents in their advertising campaigns. Such viral marketing campaigns have proven to provide better results than traditional online marketing, hence the increasing research interest in the topic. While the majority of the up-to-date research focuses on maximizing the global coverage and influence in the complete network, some studies have been conducted in the area of budget-constrained conditions as well as in the area of targeting particular groups of nodes. In this paper, a novel approach to targeting multi-attribute nodes in complex networks is presented, in which an MCDA method with various preference weights for all criteria is used to select the initial seeds to best reach the targeted nodes in the network. The proposed approach shows some symmetric characteristics—while the global coverage in the network is decreased, the coverage amongst the targeted nodes grows.
Artur Karczmarczyk; Jarosław Jankowski; Jarosław Wątrobski. Multi-Criteria Seed Selection for Targeting Multi-Attribute Nodes in Complex Networks. Symmetry 2021, 13, 731 .
AMA StyleArtur Karczmarczyk, Jarosław Jankowski, Jarosław Wątrobski. Multi-Criteria Seed Selection for Targeting Multi-Attribute Nodes in Complex Networks. Symmetry. 2021; 13 (4):731.
Chicago/Turabian StyleArtur Karczmarczyk; Jarosław Jankowski; Jarosław Wątrobski. 2021. "Multi-Criteria Seed Selection for Targeting Multi-Attribute Nodes in Complex Networks." Symmetry 13, no. 4: 731.
Online systems with the highest global audiences take form of widely-used social platforms. Their immense traffic resulted in increased attention from researchers into various phenomena including information propagation in social networks. Although there exist some libraries, such as igraph and netdep, which allow representation of graphs in the R language, due to continual appearance of new models and information spreading approaches, the researchers are usually forced to write their own scripts to perform actual simulations and study their results. In this paper, the authors propose an object-oriented library and environment in R, for running simulation experiments focused on information spreading within complex networks. Object-oriented programming paradigms such as encapsulation, separation of concerns and modularity were used in the proposed software, to provide researchers with a scalable framework allowing quick and easy creation of experimental scenarios for studying information propagation in complex networks. It also supports new approaches, not available in other libraries, related to spreading seeds over the time in a form of sequential seeding, as well as coordinated execution, making it possible to compare algorithms in invariable experimental conditions.
Artur Karczmarczyk; Jarosław Jankowski; Jarosław Wątróbski. OONIS — Object-Oriented Network Infection Simulator. SoftwareX 2021, 14, 100675 .
AMA StyleArtur Karczmarczyk, Jarosław Jankowski, Jarosław Wątróbski. OONIS — Object-Oriented Network Infection Simulator. SoftwareX. 2021; 14 ():100675.
Chicago/Turabian StyleArtur Karczmarczyk; Jarosław Jankowski; Jarosław Wątróbski. 2021. "OONIS — Object-Oriented Network Infection Simulator." SoftwareX 14, no. : 100675.
Information spreading within social networks and techniques related to viral marketing has begun to attract more interest of online marketers. While much of the prior research focuses on increasing the coverage of the viral marketing campaign, in real-life applications also other campaign goals and limitations need to be considered, such as limited time or budget, or assumed dynamics of the process. This paper presents a multi-criteria approach to planning of information spreading processes, with focus on the campaign initialization with the use of sequential seeding. A framework and example set of criteria was proposed for evaluation of viral marketing campaign strategies. The initial results showed that an increase of the count of seeding iterations and the interval between them increases the achieved coverage at the cost of increased process duration, yet without the need to increase seeding fraction or to provide incentives for increased propagation probability.
Artur Karczmarczyk; Jarosław Wątróbski; Jarosław Jankowski. Multi-criteria Approach to Planning of Information Spreading Processes Focused on Their Initialization with the Use of Sequential Seeding. Business Information Systems 2020, 116 -134.
AMA StyleArtur Karczmarczyk, Jarosław Wątróbski, Jarosław Jankowski. Multi-criteria Approach to Planning of Information Spreading Processes Focused on Their Initialization with the Use of Sequential Seeding. Business Information Systems. 2020; ():116-134.
Chicago/Turabian StyleArtur Karczmarczyk; Jarosław Wątróbski; Jarosław Jankowski. 2020. "Multi-criteria Approach to Planning of Information Spreading Processes Focused on Their Initialization with the Use of Sequential Seeding." Business Information Systems , no. : 116-134.
One of the crucial aspects of maintaining the business continuity of a company is the process of sustainable supplier selection. If the suppliers are chosen improperly, a slow-down or even a complete suspension of the operations within a company can occur. In this paper, a new unique approach is presented in which the classical MCDA paradigm is extended with aspects of temporal evaluation. In practical terms, three popular MCDA methods are used to evaluate suppliers based on data obtained from five temporal aggregation strategies. The combination of three MCDA methods (namely AHP, TOPSIS and COMET) allows to obtain a rank-reversal-free solution with a reference model and well defined hierarchical structure of the problem. Moreover, the rankings obtained from the MCDA methods are then aggregated to provide the Decision Maker a single ranking of suppliers. The effect of each temporal aggregation strategy on the eventual selection of the winning supplier is also studied.
Artur Karczmarczyk; Jarosław Wątróbski; Jarosław Jankowski. Comparative Study of Different MCDA-Based Approaches in Sustainable Supplier Selection Problem. Business Information Systems 2019, 176 -193.
AMA StyleArtur Karczmarczyk, Jarosław Wątróbski, Jarosław Jankowski. Comparative Study of Different MCDA-Based Approaches in Sustainable Supplier Selection Problem. Business Information Systems. 2019; ():176-193.
Chicago/Turabian StyleArtur Karczmarczyk; Jarosław Wątróbski; Jarosław Jankowski. 2019. "Comparative Study of Different MCDA-Based Approaches in Sustainable Supplier Selection Problem." Business Information Systems , no. : 176-193.
The current marketing landscape, apart from conventional approaches, consists of campaigns designed especially for launching information diffusion processes within online networks. Associated research is focused on information propagation models, campaign initialization strategies and factors affecting campaign dynamics. In terms of algorithms and performance evaluation, the final coverage represented by the fraction of activated nodes within a target network is usually used. It is not necessarily consistent with the real marketing campaigns using various characteristics and parameters related to coverage, costs, behavioral patterns and time factors for overall evaluation. This paper presents assumptions for a decision support system for multi-criteria campaign planning and evaluation with inputs from agent-based simulations. The results, which are delivered from a simulation model based on synthetic networks in a form of decision scenarios, are verified within a real network. Last, but not least, the study proposes a multi-objective campaign evaluation framework with several campaign evaluation metrics integrated. The results showed that the recommendations generated with the use of synthetic networks applied to real networks delivered results according to the decision makers’ expectation in terms of the used evaluation criteria. Apart from practical applications, the proposed multi-objective approach creates new evaluation possibilities for theoretical studies focused on information spreading processes within complex networks.
Artur Karczmarczyk; Jarosław Jankowski; Jarosław Wątróbski. Multi-criteria decision support for planning and evaluation of performance of viral marketing campaigns in social networks. PLOS ONE 2018, 13, e0209372 .
AMA StyleArtur Karczmarczyk, Jarosław Jankowski, Jarosław Wątróbski. Multi-criteria decision support for planning and evaluation of performance of viral marketing campaigns in social networks. PLOS ONE. 2018; 13 (12):e0209372.
Chicago/Turabian StyleArtur Karczmarczyk; Jarosław Jankowski; Jarosław Wątróbski. 2018. "Multi-criteria decision support for planning and evaluation of performance of viral marketing campaigns in social networks." PLOS ONE 13, no. 12: e0209372.
This data article describes the analysis of 56 MCDA (Multi-Criteria Decision Analysis) methods in regards to 9 decision-making problem characteristics structured into 3 levels. The impact of uncertainty in decision-making problem description on MCDA method selection is studied. 450,000 possible descriptions of a decision problem were studied, resulting in sets of rules which can serve as input to uncertainty-aware MCDA method selection decision support systems. Comprehensive analyses of the obtained rule sets are provided. An exemplary decision support system based on the presented data was created and is available at http://www.mcda.it. Moreover the technical documentation needed to create and expand such system is provided in this data article. The data and system can be easily extended and the authors invite all researchers to contribute.
Jarosław Wątróbski; Jarosław Jankowski; Paweł Ziemba; Artur Karczmarczyk; Magdalena Zioło. Generalised framework for multi-criteria method selection: Rule set database and exemplary decision support system implementation blueprints. Data in Brief 2018, 22, 639 -642.
AMA StyleJarosław Wątróbski, Jarosław Jankowski, Paweł Ziemba, Artur Karczmarczyk, Magdalena Zioło. Generalised framework for multi-criteria method selection: Rule set database and exemplary decision support system implementation blueprints. Data in Brief. 2018; 22 ():639-642.
Chicago/Turabian StyleJarosław Wątróbski; Jarosław Jankowski; Paweł Ziemba; Artur Karczmarczyk; Magdalena Zioło. 2018. "Generalised framework for multi-criteria method selection: Rule set database and exemplary decision support system implementation blueprints." Data in Brief 22, no. : 639-642.
Multi-Criteria Decision Analysis (MCDA) methods are widely used in various fields and disciplines. While most of the research has been focused on the development and improvement of new MCDA methods, relatively limited attention has been paid to their appropriate selection for the given decision problem. Their improper application decreases the quality of recommendations, as different MCDA methods deliver inconsistent results. The current paper presents a methodological and practical framework for selecting suitable MCDA methods for a particular decision situation. A set of 56 available MCDA methods was analyzed and, based on that, a hierarchical set of methods characteristics and the rule base were obtained. This analysis, rules and modelling of the uncertainty in the decision problem description allowed to build a framework supporting the selection of a MCDA method for a given decision-making situation. The practical studies indicate consistency between the methods recommended with the proposed approach and those used by the experts in reference cases. The results of the research also showed that the proposed approach can be used as a general framework for selecting an appropriate MCDA method for a given area of decision support, even in cases of data gaps in the decision-making problem description. The proposed framework was implemented within a web platform available for public use at www.mcda.it.
Jarosław Wątróbski; Jarosław Jankowski; Paweł Ziemba; Artur Karczmarczyk; Magdalena Zioło. Generalised framework for multi-criteria method selection. 2018, 1 .
AMA StyleJarosław Wątróbski, Jarosław Jankowski, Paweł Ziemba, Artur Karczmarczyk, Magdalena Zioło. Generalised framework for multi-criteria method selection. . 2018; ():1.
Chicago/Turabian StyleJarosław Wątróbski; Jarosław Jankowski; Paweł Ziemba; Artur Karczmarczyk; Magdalena Zioło. 2018. "Generalised framework for multi-criteria method selection." , no. : 1.
Artur Karczmarczyk; Jarosław Wątróbski; Grzegorz Ladorucki; Jarosław Jankowski. MCDA-based Approach to Sustainable Supplier Selection. Proceedings of the 2018 Federated Conference on Computer Science and Information Systems 2018, 15, 769 -778.
AMA StyleArtur Karczmarczyk, Jarosław Wątróbski, Grzegorz Ladorucki, Jarosław Jankowski. MCDA-based Approach to Sustainable Supplier Selection. Proceedings of the 2018 Federated Conference on Computer Science and Information Systems. 2018; 15 ():769-778.
Chicago/Turabian StyleArtur Karczmarczyk; Jarosław Wątróbski; Grzegorz Ladorucki; Jarosław Jankowski. 2018. "MCDA-based Approach to Sustainable Supplier Selection." Proceedings of the 2018 Federated Conference on Computer Science and Information Systems 15, no. : 769-778.
Since the 1960s, a turning point for civilization related to the increasing role of information and communication technologies (ICT) in creating the modern society can be observed. The sustainable information society (SIS) entails a new phase of information society development, in which the ICT adoption by the society stakeholders is the key enabler of sustainability. One of the most important issues in the debate about the SIS is the means to measure it. In this paper, a methodological framework for creating SIS evaluation indexes is presented. In practical terms, an exemplary adjustable index for evaluating SIS in households is created based on the presented approach. During the empirical research, the presented index is used to evaluate SIS in Polish households. The study showed the usefulness of the proposed approach and confirmed the fact that it can be used to build other SIS indices.
Jarosław Wątróbski; Ewa Ziemba; Artur Karczmarczyk; Jarosław Jankowski. An Index to Measure the Sustainable Information Society: The Polish Households Case. Sustainability 2018, 10, 3223 .
AMA StyleJarosław Wątróbski, Ewa Ziemba, Artur Karczmarczyk, Jarosław Jankowski. An Index to Measure the Sustainable Information Society: The Polish Households Case. Sustainability. 2018; 10 (9):3223.
Chicago/Turabian StyleJarosław Wątróbski; Ewa Ziemba; Artur Karczmarczyk; Jarosław Jankowski. 2018. "An Index to Measure the Sustainable Information Society: The Polish Households Case." Sustainability 10, no. 9: 3223.
Research related to information diffusion within complex networks tends to focus on the effective ways to maximize its reach and dynamics. Most of the strategies are based on seeding nodes according to their potential role for social influence. The presented study shows how the seeding can be supported by changes in the target users' motivation to spread the content, thus modifying the propagation probabilities. The allocation of propagation probabilities to nodes takes the form of a spraying process following a given probability distribution, projected from the nodes' rankings. The results showed how different spraying strategies affect the results when compared to the commonly used uniform distribution. Apart from the performance analysis, the empirical study shows to which extent the seeding of nodes with high centrality measures can be compensated by seeding the nodes which are ranked lower, but are having higher motivation and propagation probabilities.
Artur Karczmarczyk; Kamil Bortko; Piotr Bartkow; Patryk Pazura; Jaroslaw Jankowski. Influencing Information Spreading Processes in Complex Networks with Probability Spraying. 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2018, 1038 -1046.
AMA StyleArtur Karczmarczyk, Kamil Bortko, Piotr Bartkow, Patryk Pazura, Jaroslaw Jankowski. Influencing Information Spreading Processes in Complex Networks with Probability Spraying. 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). 2018; ():1038-1046.
Chicago/Turabian StyleArtur Karczmarczyk; Kamil Bortko; Piotr Bartkow; Patryk Pazura; Jaroslaw Jankowski. 2018. "Influencing Information Spreading Processes in Complex Networks with Probability Spraying." 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) , no. : 1038-1046.
Multi-Criteria Decision Analysis (MCDA) methods are widely used in various fields and disciplines. While most of the research has been focused on the development and improvement of new MCDA methods, relatively limited attention has been paid to their appropriate selection for the given decision problem. Their improper application decreases the quality of recommendations, as different MCDA methods deliver inconsistent results. The current paper presents a methodological and practical framework for selecting suitable MCDA methods for a particular decision situation. A set of 56 available MCDA methods was analysed and, based on that, a hierarchical set of methods' characteristics and the rule base were obtained. This analysis, rules and modelling of the uncertainty in the decision problem description allowed to build a framework supporting the selection of a MCDA method for a given decision-making situation. The practical studies indicate consistency between the methods recommended with the proposed approach and those used by the experts in reference cases. The results of the research also showed that the proposed approach can be used as a general framework for selecting an appropriate MCDA method for a given area of decision support, even in cases of data gaps in the decision-making problem description. The proposed framework was implemented within a web platform available for public use at www.mcda.it.
Jarosław Wątróbski; Jarosław Jankowski; Paweł Ziemba; Artur Karczmarczyk; Magdalena Zioło. Generalised framework for multi-criteria method selection. Omega 2018, 86, 107 -124.
AMA StyleJarosław Wątróbski, Jarosław Jankowski, Paweł Ziemba, Artur Karczmarczyk, Magdalena Zioło. Generalised framework for multi-criteria method selection. Omega. 2018; 86 ():107-124.
Chicago/Turabian StyleJarosław Wątróbski; Jarosław Jankowski; Paweł Ziemba; Artur Karczmarczyk; Magdalena Zioło. 2018. "Generalised framework for multi-criteria method selection." Omega 86, no. : 107-124.
The high availability of e-commerce websites which deliver similar services and products, as well as the harsh rivalry between competitors, increased the importance of systematic evaluation of the e-commerce websites’ quality, usability and user experience. Multiple methodologies for performing the evaluation are available, however, they are based mainly on survey data. In our previous research, we introduced perceptual measurements from eye tracker (ET) to the set of evaluation criteria. In this paper, we present an approach based on AHP (Analytic Hierarchy Process) to allow a thorough analysis of the complex structure of criteria and its impact on the final evaluation. Additionally, we combine the AHP outputs with the COMET (Characteristic Objects METhod) technique to build a fuzzy rule base that provides a stable model of the entire domain of evaluation criteria. The results of the conducted empirical verification of the proposed approach are presented and discussed. The main research findings show that the rankings obtained with the presented approach are very stable and the probability of a rank reversal phenomenon is low.
Jarosław Wątróbski; Artur Karczmarczyk; Jarosław Jankowski; Paweł Ziemba; Waldemar Wolski. Hierarchical Representation of Website Evaluation Model Using Survey and Perceptual Based Criteria. Business Information Systems 2018, 229 -248.
AMA StyleJarosław Wątróbski, Artur Karczmarczyk, Jarosław Jankowski, Paweł Ziemba, Waldemar Wolski. Hierarchical Representation of Website Evaluation Model Using Survey and Perceptual Based Criteria. Business Information Systems. 2018; ():229-248.
Chicago/Turabian StyleJarosław Wątróbski; Artur Karczmarczyk; Jarosław Jankowski; Paweł Ziemba; Waldemar Wolski. 2018. "Hierarchical Representation of Website Evaluation Model Using Survey and Perceptual Based Criteria." Business Information Systems , no. : 229-248.
While viral marketing has captured substantial academic and professional interest, the processes that underpin successful viral marketing campaigns remain poorly understood. High competition and pressure for successful campaigns lead to strategies based on persuasion, unsolicited messages, and other techniques that negatively affect brand perception. The need for more sustainable strategies with a limited negative impact on web users is observed. Therefore, the current study examines the effectiveness of viral marketing and a supporting campaign, where the main goal was to increase user engagement and overall campaign performance. Supporting campaigns were evaluated, to determine whether they enhanced viral activity, but without the need for high persuasion or intrusive techniques. Results showed that supporting actions could be integrated with lower performing campaigns to increase their effectiveness. Apart from the main scientific goal that is presented, the study demonstrates how virtual worlds can provide a laboratory-like environment for identifying the processes that underpin viral marketing.
Jarosław Jankowski; Magdalena Zioło; Artur Karczmarczyk; Jarosław Wątróbski. Towards Sustainability in Viral Marketing with User Engaging Supporting Campaigns. Sustainability 2017, 10, 15 .
AMA StyleJarosław Jankowski, Magdalena Zioło, Artur Karczmarczyk, Jarosław Wątróbski. Towards Sustainability in Viral Marketing with User Engaging Supporting Campaigns. Sustainability. 2017; 10 (2):15.
Chicago/Turabian StyleJarosław Jankowski; Magdalena Zioło; Artur Karczmarczyk; Jarosław Wątróbski. 2017. "Towards Sustainability in Viral Marketing with User Engaging Supporting Campaigns." Sustainability 10, no. 2: 15.
Wind is the most used renewable energy source (RES) in the European Union and Poland. Due to the legal changes in the scope of RES in Poland, there are plans to develop offshore wind farms at the expense of onshore ones. On the other hand, the success of an offshore wind farm is primarily determined by its location. Therefore, the aim of this study is to select offshore wind farm locations in Poland, based on sustainability assessment, which is an inherent aspect of RES decision-making issues. To accomplish the objectives of this research, PROSA (PROMETHEE for Sustainability Assessment) method, a new multi-criteria method is proposed. Like PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation), PROSA is transparent for decision makers and is easy to use; moreover, it provides the analytical tools available in PROMETHEE, i.e., the sensitivity and GAIA (Geometrical Analysis for Interactive Assistance) analyses. However, PROSA is characterized by a lower degree of criteria compensation than PROMETHEE. Thus, it adheres in a higher degree to the strong sustainability paradigm. The study also compared the solutions of the decision problem obtained with the use of PROSA and PROMETHEE methods. The compared methods demonstrated a high concurrence of the recommended decision-making variant of location selection, from methodological and practical points of view. At the same time, the conducted research allowed to confirm that the PROSA method recommends more sustainable decision-making variants, and that the ranking it builds is less sensitive to changes in criteria weights. Therefore, it is more stable than the PROMETHEE-based ranking.
Paweł Ziemba; Jarosław Wątróbski; Magdalena Zioło; Artur Karczmarczyk. Using the PROSA Method in Offshore Wind Farm Location Problems. Energies 2017, 10, 1755 .
AMA StylePaweł Ziemba, Jarosław Wątróbski, Magdalena Zioło, Artur Karczmarczyk. Using the PROSA Method in Offshore Wind Farm Location Problems. Energies. 2017; 10 (11):1755.
Chicago/Turabian StylePaweł Ziemba; Jarosław Wątróbski; Magdalena Zioło; Artur Karczmarczyk. 2017. "Using the PROSA Method in Offshore Wind Farm Location Problems." Energies 10, no. 11: 1755.
Paweł Ziemba; Jarosław Wątróbski; Artur Karczmarczyk; Jarosław Jankowski; Waldemar Wolski. Integrated Approach to e-Commerce Websites Evaluation with the Use of Surveys and Eye Tracking Based Experiments. Position Papers of the 2017 Federated Conference on Computer Science and Information Systems 2017, 11, 1019 -1030.
AMA StylePaweł Ziemba, Jarosław Wątróbski, Artur Karczmarczyk, Jarosław Jankowski, Waldemar Wolski. Integrated Approach to e-Commerce Websites Evaluation with the Use of Surveys and Eye Tracking Based Experiments. Position Papers of the 2017 Federated Conference on Computer Science and Information Systems. 2017; 11 ():1019-1030.
Chicago/Turabian StylePaweł Ziemba; Jarosław Wątróbski; Artur Karczmarczyk; Jarosław Jankowski; Waldemar Wolski. 2017. "Integrated Approach to e-Commerce Websites Evaluation with the Use of Surveys and Eye Tracking Based Experiments." Position Papers of the 2017 Federated Conference on Computer Science and Information Systems 11, no. : 1019-1030.
Jarosław Wątróbski; Wojciech Sałabun; Artur Karczmarczyk; Waldemar Wolski. Sustainable Decision-Making using the COMET Method: An Empirical Study of the Ammonium Nitrate Transport Management. Position Papers of the 2017 Federated Conference on Computer Science and Information Systems 2017, 11, 949 -958.
AMA StyleJarosław Wątróbski, Wojciech Sałabun, Artur Karczmarczyk, Waldemar Wolski. Sustainable Decision-Making using the COMET Method: An Empirical Study of the Ammonium Nitrate Transport Management. Position Papers of the 2017 Federated Conference on Computer Science and Information Systems. 2017; 11 ():949-958.
Chicago/Turabian StyleJarosław Wątróbski; Wojciech Sałabun; Artur Karczmarczyk; Waldemar Wolski. 2017. "Sustainable Decision-Making using the COMET Method: An Empirical Study of the Ammonium Nitrate Transport Management." Position Papers of the 2017 Federated Conference on Computer Science and Information Systems 11, no. : 949-958.
The evaluation of the e-commerce websites’ quality, usability and user experience is an important research task. Various survey-based evaluation methods are available, eQual being one of them. However, these methods are not free of disadvantages. In this paper, a novel approach is presented, where a single usability evaluation model is created on the basis of the eQual survey criteria and the perceptual evaluation data from eye tracking devices, thus extending the statistical survey model with objective gaze measurements and Multi-Criteria Decision Analysis (MCDA) methodology foundations. The combined data is processed with the crisp and fuzzy variants of the TOPSIS method to evaluate the websites. An empirical verification is performed and the results are presented. The results showed the benefits of the author’s proposed approach as well as the wide possibilities of interpretation of the obtained solutions.
Jarosław Wątróbski; Jarosław Jankowski; Artur Karczmarczyk; Paweł Ziemba. Integration of Eye-Tracking Based Studies into e-Commerce Websites Evaluation Process with eQual and TOPSIS Methods. Business Information Systems 2017, 56 -80.
AMA StyleJarosław Wątróbski, Jarosław Jankowski, Artur Karczmarczyk, Paweł Ziemba. Integration of Eye-Tracking Based Studies into e-Commerce Websites Evaluation Process with eQual and TOPSIS Methods. Business Information Systems. 2017; ():56-80.
Chicago/Turabian StyleJarosław Wątróbski; Jarosław Jankowski; Artur Karczmarczyk; Paweł Ziemba. 2017. "Integration of Eye-Tracking Based Studies into e-Commerce Websites Evaluation Process with eQual and TOPSIS Methods." Business Information Systems , no. : 56-80.
Atmospheric emissions of anthropogenic origin are one of the most important problems in cities. A particularly discrete ecological footprint in urban environment is made by urban freight transport. This problem has become the key challenge for all stakeholder groups involved in freight transport in urban areas. Over the recent years, there has been a growing interest in using alternative fuel vehicles in urban logistics, including those equipped with electric drive systems. This paper presents a multi-criteria analysis (MCA) of selected electric vehicles (EVs) in the context of their application for the purposes of deliveries in cities. In methodological terms, we present a unique MCA-based approach for evaluation of Electric Freight Vehicles (EFVs). A successful attempt is made to build a multistep MCA procedure based on two carefully selected MCDA methods (PROMETHEE II and fuzzy TOPSIS) to handle both certain and uncertain data sets in a single decision process. In practical terms, we successfully demonstrate the usefulness of the proposed approach by creating a set of decision maker’s preference models (based on certain and uncertain data) of carefully selected EFVs and provide sensitivity and robustness analyses of the obtained solutions.
Jarosław Wątróbski; Krzysztof Małecki; Kinga Kijewska; Stanisław Iwan; Artur Karczmarczyk; Russell G. Thompson. Multi-Criteria Analysis of Electric Vans for City Logistics. Sustainability 2017, 9, 1453 .
AMA StyleJarosław Wątróbski, Krzysztof Małecki, Kinga Kijewska, Stanisław Iwan, Artur Karczmarczyk, Russell G. Thompson. Multi-Criteria Analysis of Electric Vans for City Logistics. Sustainability. 2017; 9 (8):1453.
Chicago/Turabian StyleJarosław Wątróbski; Krzysztof Małecki; Kinga Kijewska; Stanisław Iwan; Artur Karczmarczyk; Russell G. Thompson. 2017. "Multi-Criteria Analysis of Electric Vans for City Logistics." Sustainability 9, no. 8: 1453.
Initialization of information spreading processes within complex networks is usually based on selection of initial nodes as a seed set. While most methods are choosing seeds in a single stage, another possible option is a partial budget usage in the first stage and spending the remaining budget while the process develops. In this paper we analyze how the ratio of seeds used in the primary and supporting stages affects the performance in terms of number of activated nodes and its duration. We have used real networks and agent based simulations with various parameters including different propagation probabilities, nodes selection strategies and number of seeds. Results show that coverage can be improved by minimizing the number of seeds used in primary seeding and increasing it in supporting seeding. Delaying the use of supporting seeds better supports natural diffusion processes and avoids selection of seeds with high potential to be activated anyway.
Jarosław Jankowski; Radosław Michalski; Piotr Bródka; Artur Karczmarczyk. Increasing Coverage of Information Diffusion Processes by Reducing the Number of Initial Seeds. Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 2017, 713 -720.
AMA StyleJarosław Jankowski, Radosław Michalski, Piotr Bródka, Artur Karczmarczyk. Increasing Coverage of Information Diffusion Processes by Reducing the Number of Initial Seeds. Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017. 2017; ():713-720.
Chicago/Turabian StyleJarosław Jankowski; Radosław Michalski; Piotr Bródka; Artur Karczmarczyk. 2017. "Increasing Coverage of Information Diffusion Processes by Reducing the Number of Initial Seeds." Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 , no. : 713-720.