Andrey Trufanov

Network Society: Aggregate Topological Models

An innovative approach for analysis of “network society” with its large- scale and multicomponent features has been proposed. A new network model - a model of so-called aggregate networks has been developed as a key tool for such analysis. These aggregate structures topologically are not identical in their global and local scales, and thus distinguished from canonical large-scale networks. It was elicited that aggregate network entities have significant features in their topological vulnerability in comparison with canonical ones. This is crucial for building resilient constructions of the network society. Also some additional distinctions for the concepts of “network” and “graph” have been formulated.

Optimal Information Security Investment in Modern Social Networking

For further clarification of methodological issues of the social network’s information security we stratified the systems that support human relations into three components of different nature: computer, communication and social ones. A security model for a network component is developed using consideration of security for individual nodes . Modeling of attacks on networks in whole is analyzed taking into account specification of network security level. The results for real computer, communication and social entities supported that for a network attacked intentionally it is better off allocating the investment proportionally to degree centralities of the nodes rather than uniformely. The analysis further hints that to make investment justifiable to protect a network, its proprietor should spend lesser than to reach approximately 0.4 of network security level.

Optimal Protection of Networks in Social Media while Counteracting Disasters and Emergencies

BASIC PH model were put into practice using cognitive, emotional and creative supporting tools. The sessions culminated in the creation of a teamwork plan designed to preserve the program’s achievements. Results: The act of sharing difficulties within the support group generated cohesion and hope, which are components of resilience. The relationships within the group became more open, and the participants were more easily able to communicate their difficulties and felt more connected (also factor of resilience). The intervention provided the participants with a support framework, and enhanced their ability to cope with stressful situations. Conclusion: Organizational support based on a resiliency model can strengthen the individual’s ability to cope with daily stressful situations and enhance cohesion, that in turn may have a positive influence on the organization’s ability to handle changes and crisis.

Network platform of program governance for E-health service

Social networks and their tools compound sophisticated compositions. Recent studies investigated diverse withstanding aspects of these socio-cyber systems. However, some methodological issues of the international medical networks required further clarification. In this regard, we stratified the networks that support human relations into the layers of private sector, national, provincial, local governments, citizen society organizations and informal structures. A mechanism composing and modeling interactions of different organizations and social networks engaged in different phases of program governance processes in the areas of medical tourism services designed.

(P2-71) Topometric Agent-Based System for Disaster and Emergency Medicine

Introduction A variety of models, methods, and computer-aided systems have been used to predict and analyze disasters and emergencies, and manage a pertinent medical response effectively. The list of these instruments traditionally comprises: computerized databases, geographic information systems (GISs), graph theory, complex networks, mathematical programming, simulation, and agent-based modeling. As a rule, each type of those is applied asunder. It makes sense to put in one silo diverse instruments to get multidisciplinary solution with its synergy effect for problems of disaster and emergency medicine. Methods Within this study, an original, agent-based model was developed. The model combines the advantages of the principal computer-aided instruments and considers all the types of information: semantic, topographical, metric, and topological. The model is severely dynamic, fits to real actors and principally covers all the disaster situation. Results In line with the model, a so called Topometric Agent-Based System (TABS) with its key visualization component has been designed. A TABS-specific simulation to investigate behavior of the attacked network of vulnerable actors has been conducted leading to critical findings. It has been shown a severe significance of order within combination of threats: man-made + natural or those of natural + man-made. A well-balanced financial distribution to protect actors of diverse status also has been found. Conclusions A TABS similar to GIS focuses on mapping. Topometric Agent-Based System mapping brings an efficient and clear language for information sharing not only within national emergency medical services but between experts from different fields and countries.