Cezary Bartosiak

Cezary Bartosiak
Military University of Technology | WAT · Faculty of Cybernetics

M.Sc. Eng.

About

5
Publications
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30
Citations

Publications

Publications (5)
Chapter
Full-text available
W rozdziale omówiona zostanie analiza forum hackerskiego ToRepublic jako przykład praktycznego zastosowania języka teorii grafów i sieci oraz narzędzi BigData. Problematyka analizy danych o aktywnościach przestępców w cyberprzestrzeni jest niezwykle aktualna. W ostatnim czasie można dostrzec „wyścig zbrojeń w cyberprzestrzeni”, który wymaga nie tyl...
Article
Full-text available
Badanie podobieństwa grafów i sieci jest dziedziną istotną w wielu obszarach nauki: chemii, biologii, energetyce czy informatyce. Większość systemów, można stosunkowo łatwo i intuicyjnie modelować jako graf lub sieć, a następnie tak zbudowany model wy-korzystać do badania jak również optymalizacji tych systemów [2][3][4][5]. Według Słownika Języka...
Article
In this paper, we consider the utilization of the graph and network theory in the field of modeling and simulating the dynamics of infectious diseases. We describe basic principles and tools and show how we can use them to fight against the spread of this phenomenon. We also present our software solutions that can be used to support decision-making...
Article
Full-text available
In the paper we focus on the research of graphs and networks similarity measures for analyzing complex networks. This kind of researches has a very wide range of applications in the military and civilian domains and tasks such as: law enforcement, criminal investigation, counter-terrorism as well as algorithms used in web search engines, analysis o...

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Projects

Projects (3)
Project
Last years have seen a huge interest in network systems. The number of interdisciplinary researches undertaken in this field is affected by the strategic importance of network systems, particularly from the perspective of crisis management. In fact, networks, which are understood as sets of vertices and edges for representing different kinds of relationships between vertices, are ubiquitous. There are many examples of systems modelled with the use of networks, including the Internet, WWW, transport networks, transmission networks, electrical grids, and finally social networks. These systems due to the number of included nodes and edges are called complex networks or large-scale networks. From the 50s of the last century, complex networks were modelled using Random Graphs, with no organizational principle. Databases introduction together with the need to collect information about genuine network structures revealed in the late twentieth century that these networks have a number of specific features, which have not been known so far. It turned out that although we have been surrounded by exhaustively examined networks, their topology and principles of evolution may still be enigmatic. Analyses carried out on the actual networks proved the existence of their specific characteristics which cannot be found in Random Graphs. In particular, these included a relatively small number of edges (sparse graph), a relatively short diameter of the graph (shortest longest path) and a surprisingly short average path length, while high clustering coefficient value is given. Another extremely interesting feature of most genuine networks, is a power law distribution of node's degree. The above-mentioned features have contributed to creation of a wide range of models which describe genuine networks in a more adequate way than Random Graphs. In the 90s, first types of such network models were created i.e. Small World Networks and Scale Free Networks, and their further development is still underway. A solution approach presented in the research will allow to explore and diagnose complex systems using models and methods from the graphs and networks theory. Existing models of complex networks will be examined, with a primary focus on their use to model social networks and criminal networks, in particular terrorist organizations. As a result of the research a set of characteristics and the method of their analysis to identify potential emergencies will be defined. Also, a method to assess the resistance of the network to failures and attacks, and the efficiency of communications networks will be developed. Finally, a method for testing viral effect phenomena spread in the network systems will be proposed. This can provide the answer to the question of how communication within the network may affect its structure and vice versa, i.e. how strongly the adopted structure determines the way of communication.
Archived project
Everyday thousands of people die due to various diseases. Therefore fighting against them is very important for societies and the system we present, CARE2, is coming forward to meet these needs. It is a very creative software solution that takes advantage of pioneering sociological theories, graph/networks theory (especially complex networks theory) and the last most advanced technologies, for instance cloud computing. Interactive simulations connected with “what-if” analysis make it possible to determine epidemics threats more precisely than ever in the past. In fact it is a decision support system that has got a very practical purpose, in particular nowadays: countering infectious diseases, for instance HIV/AIDS, malaria, SARS, etc.
Archived project
We have created an innovative software solution that utilizes the pioneering sociological theories. It has a very practical purpose of growing the importance and demand: to counter infectious diseases like AIDS, malaria, pneumonia etc. We demonstrate how an epidemic spreads in a population and how we can stop it early in the game. We have designed a new approach to the epidemic spread problem and to vaccination strategy. We use the knowledge from the newest research on social networks. There is no other solution that tries to defeat epidemics taking advantage of the knowledge of social networks. It is an innovative solution because we identify those individuals in the community that are more important than others from the epidemic's spread point of view. Knowing which people speed up the epidemic spread, we can plan inoculation and isolation strategy to fight the diseases. Our solution can help hundreds of millions of affected people per year. If widely deployed it can even destroy some viruses. We also show why interactive information visualization is important and how the visual representation of information can be used to demystify data and reveal otherwise hidden patterns by leveraging human visual capabilities to make sense of abstract information. CARE software has an enormous practical potential in such regions as Africa, where there are not enough medicines to fight dangerous diseases. It can be used in many various matters: automatic notification of hospitals, rescue services, etc. It could also be used by crisis management centers and epidemiology centers in the whole world to fight against not only terminal infectious diseases but also any kind of flu etc.