Jarosław Jankowski

West Pomeranian University of Technology, Szczecin · Department of Computer Science and Information Technology

Communication within online platforms supported by chatbots requires algorithms, language processing methods, and an effective visual representation. These are crucial elements for increasing user engagement and making communication more akin to natural conversation. Chatbots compete with other graphic elements within websites or applications, and...

Interaction with others influences our opinions and behaviours. Our activities within various social circles lead to different opinions expressed in various situations, groups, and ways of communication. Earlier studies on agent-based modelling of conformism within networks were based on a single-layer approach. Contrary to that, in this work, we p...

Designing user interfaces requires the efficient management of elements that interact with the user and attract their attention. In the development of technologies supporting the development of chatbots, few studies have focused on the visual aspects of the interface. Changes in the chatbot area can be of different natures, such as increasing or de...

Information spreading processes are a key phenomenon observed within real and digital social networks. Network members are often under pressure from incoming information with different sources, such as informative campaigns for increasing awareness, viral marketing, rumours, fake news, or the results of other activities. Messages are often repeated...

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 o...

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...

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 ca...

Multilayer networks are the underlying structures of multiple real-world systems where we have more than one type of interaction/relation between nodes: social, biological, computer, or communication, to name only a few. In many cases, they are helpful in modeling processes that happen on top of them, which leads to gaining more knowledge about the...

Social networks create routes for information transmission with the use of social influence mechanisms. While one of goals can be to increase the dynamics of processes within the networks, from the perspective of the spread of harmful content or misleading information, efforts should be focused on limiting the spread. One possible strategy is the i...

The spread of influence in networks is a topic of great importance in many application areas. For instance, one would like to maximise the coverage, limiting the budget for marketing campaign initialisation and use the potential of social influence. To tackle this and similar challenges, more than a decade ago, researchers started to investigate th...

Complex networks are the underlying structures of multiple real-world systems: social, biological, computer, or communication, to name only a few. In many cases, they are helpful in modelling processes that happen on top of them, which leads to gaining more knowledge about these phenomena. One example of such a process is the spread of influence. H...

The spread of influence in networks is a topic of great importance in many application areas. For instance, one would like to maximise the coverage, limiting the budget for marketing campaign initialisation and use the potential of social influence. To tackle this and similar challenges, more than a decade ago, researchers started to investigate th...

Seed selection is one of the key factors influencing information spread within networks. Whereas most solutions are based on single-stage seeding at the beginning of the process, performance increases when additional seeds are used. This enables the acquisition of knowledge about ongoing processes and activating new nodes for further influence maxi...

Increasing the performance of information spreading processes and influence maximisation is important from the perspective of marketing and other activities within social networks. Another direction is suppressing spreading processes for limiting the coverage of misleading information, spreading information helping to avoid epidemics or decreasing...

The challenge of influence maximization in social networks is tackled in many settings and scenarios. However, the most explored variant is looking at how to choose a seed set of a given size, that maximizes the number of activated nodes for selected model of social influence. This has been studied mostly in the area of static networks, yet other k...

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...

The design of recommending systems is mainly related to algorithms targeting customer needs, products, and service selection. However, even the most effective algorithms will not increase the performance of an e-commerce platform if the recommendation interface is not noticed by the user. Recommendations, like all other visual stimuli, can be subco...

Design of applications requires proper management of content, interaction elements and space. In web systems flow of interactions is often based on attention catching components in a form of elements of navigation or advertising content. Distance from central part of interface is affecting user behavior, what can be overcome by scaling size of the...

In recent years, bustling online communities have focused a lot of attention on research dealing with information spreading. Through acquired knowledge about the characteristics of information spreading processes, we are able to influence their dynamics via the enhancement of propagation properties or by changing them to decrease their spread withi...

Systematic Regression Testing is essential for maintaining software quality, but the cost of regression testing is high. Test case prioritization (TCP) is a widely used approach to reduce this cost. Many researchers have proposed regression test case prioritization techniques, and clustering is one of the popular methods for prioritization. The tas...

In this paper, we present a new multi-criteria decision-making method, called Characteristic Objects METhod (COMET), along with its software implementation 1. First of all, we discuss the essential properties of COMET, which make it unique. Next, the paper presents the basic concepts of fuzzy sets theory and the COMET algorithm. We introduced the o...

One of the major questions in the study of economics, logistics, and business forecasting is the measurement and prediction of value creation, distribution, and lifetime in the form of goods. In "real" economies, a perfect model for the circulation of goods is impossible. However, virtual realities and economies pose a new frontier for the broad st...

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 ext...

The growing intensity of visual marketing content may result in limited user attention and dropping performance. The main reason is a habituation effect observed for repeated stimuli causing the banner blindness phenomenon. To overcome that marketers resort to various techniques based on visual effects, such as animations or vividness, with possibl...

Information spreading processes are main drivers of viral campaigns. They are usually conducted within large scale social networks. Parametrisation of online campaigns is usually related to allocation of budgets, number of seeds and strategies of their selection. It is hard to predict campaign effects. Proposed in this paper approach uses network s...

This paper provides a comparative study of ICT (information and communication technologies) and SIS (sustainable information society) measurement in Polish households using a MCDA-based approach in aim to advance the information society research and practice by examining and understanding the ICT adoption in households for improving SIS. This study...

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...

Microsoft Excel spreadsheet containing partial results used during the research. (XLSX)

Purpose The purpose of this paper is to develop and test a method that can gradually find a sweet spot between user experience and visual intensity of website elements to maximise user conversion with minimal adverse effect. Design/methodology/approach In the first phase of the study, the authors develop the method. In the second stage, the auth...

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, resul...

The COMET method is a new multi-criteria decision-making (MCDM) method using the elements of fuzzy sets theory to identify a decision-making model in the space of a problem. This technique is entirely free of the rank reversal phenomenon, which is one of the most critical challenges in the MCDM field. The COMET method was primarily developed for de...

Usually, the launch of the diffusion process is triggered by a few early adopters–i.e., seeds of diffusion. Many studies have assumed that all seeds are activated once to initiate the diffusion process in social networks and therefore are focused on finding optimal ways of choosing these nodes according to a limited budget. Despite the advances in...

Supporting information file with proofs, additional analysis, Figs A-G, Tables A-C and detailed statistics. (PDF)

Data file with used networks and detailed results. (ZIP)

We consider here information spread which propagates with certain probability from nodes just activated to their not yet activated neighbors. Diffusion cascades can be triggered by activation of even a small set of nodes. Such activation is commonly performed in a single stage. A novel approach based on sequential seeding is analyzed here resulting...

We consider here information spread which propagates with certain probability from nodes just activated to their not yet activated neighbors. Diffusion cascades can be triggered by activation of even a small set of nodes. Such activation is commonly performed in a single stage. A novel approach based on sequential seeding is analyzed here resulting...

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 enable...

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 qual...

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...

The article deals with the problem of selecting an advertisement variant on the basis of dynamically-changing values of evaluation criteria. Therefore, a framework, used in an online environment, of a dynamic multi-criteria decision analysis (DMCDA) has been prepared. The framework was based on the PROMETHEE method which makes it possible to carry...

There are billions of images available on the Internet. With such a rich collection available and such a great diversity of users and their various needs, content-based image retrieval becomes a problem. Luckily, this is partially solved by publicly available image search engines; however, a question what their linguistic quality is arises. An appr...

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 perceptio...

Information spreading in complex networks is often modeled as diffusing information with certain probability from nodes that possess it to their neighbors that do not. Information cascades are triggered when the activation of a set of initial nodes – seeds – results in diffusion to large number of nodes. Here, several novel approaches for seed init...

Presented data contains the record of five spreading campaigns that occurred in a virtual world platform. Users distributed avatars between each other during the campaigns. The processes varied in time and range and were either incentivized or not incentivized. Campaign data is accompanied by events. The data can be used to build a multilayer netwo...

The Internet makes it possible to find and analyse information about goods and services which can be purchased online. An abundance of e-commerce services and available products makes customers disorientated. Shoppers usually devote a great deal of time to browse offers and select their optimal products and they often are in need of advisers who co...

Seeding strategies for influence maximization in social networks have been studied for more than a decade. They have mainly relied on the activation of all resources (seeds) simultaneously in the beginning; yet, it has been shown that sequential seeding strategies are commonly better. This research focuses on studying sequential seeding with buffer...

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 t...

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 h...

Campaigns based on information spreading processes within online networks have become a key feature of marketing landscapes. Most research in the field has concentrated on propagation models and improving seeding strategies as a way to increase coverage. Proponents of such research usually assume selection of seed set and the initialization of the...

As a result of the increasing role of online advertising and strong competition among advertisers, intrusive techniques are commonly used to attract web users' attention. Moreover, since marketing content is usually delivered to the target audience when they are performing typical online tasks, like searching for information or reading online conte...

Information spreading processes within the complex networks are usually initiated by a selection of highly influential nodes in accordance with the used seeding strategy. The majority of earlier studies assumed the usage of selected seeds at the beginning of the process. Our previous research revealed the advantage of using a sequence of seeds inst...

A high intensity of online advertising often elicits a negative response from web users. Marketing companies are looking for more sustainable solutions, especially in the area of visual advertising. However, the research efforts related to information spreading processes and viral marketing are focused mainly on the maximization of coverage. This p...

Presented data contains the record of five spreading campaigns that occurred in a virtual world platform. During this campaigns, users were about distributing the avatars between each other. The processes were either incentivized or not incentivized, and varying in time and range. The campaign data is accompanied by the events that can be used to b...

Together with the growth of e-commerce sector, companies are focusing more and more attention on website quality evaluations. Evolution along with an ever-growing set of available methods are being observed for online shopping platforms, as well as auctions, and it is creating better representations of various characteristics and parameters. The fo...

Together with the increasing role of Internet in commercial activity growing intensity of marketing content is observed. Advertising clutter is interfering with web usability and is affecting processing of the editorial content by web users. Therefore, effective way to manage marketing content is needed. This problem can be solved by using a proper...

The design of web applications includes the use of components that attempt to increase influence on target audience to achieve expected results in the form of interactions. In this area, conflicts between user experience and business goals are observed, especially when primary tasks within a website are negatively affected by intrusive marketing me...

Each decision situation is described by a set of certain characteristics—a factor which classifies it into a category of decision problems. Many times the chosen problematic determines the choice of the most suitable Multi-Criteria Decision Analysis (MCDA) method to be employed for supporting a decision maker. The following paper deals with directi...

The content of the study presented two complementary issues, transformation of the data form and transformation of structures of MLP decision models, which constitute the basis of the construction of the computerized decision support system. (version DSS 2.0—authors Becker, Architecture of information system for generating multi-criteria decision-m...

Effective online marketing requires technologies supporting campaign planning and execution at the operational level. Changing performance over time and varying characteristics of audience require appropriate processing for multilevel decisions. The paper presents the concept of adaptation of the Multi-Criteria Decision Analysis methods (MCDA) for...

Graphical virtual worlds add two new layers to the old question what determines friendship formation. First, it is possible to distinguish between offline (player) and online (avatar) characteristics. Second, these environments offer new possibilities for studying friendship formation. By tracking friendship requests and their acceptance rate, rese...

Studying information diffusion and the spread of goods in the real world and in many digital services can be extremely difficult since information about the information flows is challenging to accurately track. How information spreads has commonly been analysed from the perspective of homophily, social influence, and initial seed selection. However...