A.N. Chaplygin, E.G. Andrianova

At present time managers on different levels of corporate hierarchy face new challenges which are particularly relevat at the moment. Permanent changes in business environment requires rapid assessment of incoming information and making motivated and well-informed decisions that determine the strategy of survival and development of the organization. Today's global financial crisis that has forced many companies to reorganize their structure, only confirms the urgency of this issue. There are two complementary approaches in crisis management: during the periods of stabilization crisis management is aimed at preparation for future crises, and when a crisis has occurred, the main aim is to minimize its negative impact and consequences. But the fundamental method in both cases is company reorganization. The differences are only in the priorities arising from the limitations and conditions in which the crisis team is operating. In this regard, it is necessary to revise the model of the organization taking into account the fact that any organization is a unique community of people with their own communication space and a complex system of interpersonal relations. And the social network is the most fitting mathematical model to describe it. Several years ago a new application of social network analysis has formed and became known as Organizational Network Analysis (ONA). But the current papers and books on this subject do not pay attention to the the fact that social interaction takes place on multiple levels which can be related to one another. There are several types of social interaction (exchange of information, motivation, influence, friendship, neighborhood, sympathy, etc.), so the model describing the social background of an organization should be a multi-layer social network. This approach will allow to trace correlations between different layers, and test data models for consistency, which is necessary if the questionnaire contains crosschecking questions (which is an important condition for ensuring objectivity of the results). Most algorithms for calculating the structural characteristics do not depend on the weights of vertices of the social graph, because they take into account only the existence or absence of ties. Therefore, they can be applied to the modified model as is. Algorithms for egocentric characteristics calculation (such as closeness centrality and betweenness centrality) that define the position of a person in the network and his or her characteristics, are using adjacency matrix, which in the case of multidimensional relationships becomes three dimensional. It is necessary to calculate the characteristics that take into account the weight of connections for each layer (level of social interaction). The article describes a method for the assessment and analysis of organizations using SNA Tool software , based on a multidimensional model of social networks. SNA Tool is implemented as a web application based on Django framework, which allows to automate data collection via online questionnaires. Calculations and visualization is performed using the improved iGraph library and tools for SVG file processing. As a result software system renders a report in ODT, which contains the structural characteristics of the network, its visualization by layers, the personal networks of the respondents, as well as diagrams of the formal organizational structure, color-coded in accordance with composed results of analysis (distribution of knowledge, motivation, influence, and so section)

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