In the paper there are examined intrapersonal conflicts associated with the mandatory selection of one option from two, equal their relative attractiveness. To study the effect of social environment we combined two models. The first was the previously developed model based on the theory of Bayesian model intrapersonal conflict one subject. Second was the model the spread of the epidemic presented in the base package of the agent-based modeling AnyLogic. In the numerical experiments it is studied as a manifestation on the intrapersonal level, social aspects of the environment, and Vice versa, the impact of these conflicts on the society. Found that the level of this impact strongly depends on the social value of objects of choice. If this objects important only for the individual, the near social neighbours can only shift the final probability of selection and to reduce the resolution time of the problem. The opposite effect is small. If the conflict causing problem is socially significant both for the subject and its environment, the picture changes dramatically. An association of individuals with the same choice as the conflict and the formation of clusters of two types are started with the development of the conflict in the study community. There is growth of these clusters and their absorption of each other. It was studied several scenarios final solution to the problem, such as the transformation of intrapersonal conflict in intergroup one and confrontation of the formed sub-groups, or complete absorption of one type of cluster other with the winning one of the variant. The obtained results point to the need for the study of social conflicts to pay attention to intrapersonal and the possibility of escalating into intergroup.

Keywords: conflict, intrapersonal, social environment, simulation, fluctuations of the appeal, a multi-agent approach, probability assessment, Bayesian theory, clustering of individuals, inter-group conflict

The article discusses research methodology of intrapersonal conflict by using the affective component of appropriate social attitudes. We analyze three kinds of internal contradictions. Which are classified by K. Levin as the conflict of ""Desire-Commitment"", ""Avoidance-Avoidance"" and ""Commitment-Avoidance"". They are all connected with a choice of appropriate object or action (equal or different valences) of the two equally probable. The affective component of perception of such internal contradictions is determined by the technology of semantic differential on the basis of the survey conducted at the end of 2016 among students DSTU. For the interpretation of the results used the previously developed technique. The distribution functions of the emotional perception of those conflicts are described in article. Which were calculated as in the linear approximation and a nonlinear lookup psychosemantic model. It is obtained that the average affective perception of the studied conflicts neutral or close to that. But the researched audience is very heterogeneous in its emotional attitude to such conflicts. The distribution function is strongly smeared almost all over the range of levels of perception. While approximately half of the respondents are characterized by positive attitude to internal contradictions. This suggests that positive role of conflicts associated with the resolution of problems of an appropriate level subconsciously affects on estimates. A few unexpected results were obtained by a comparison of the perception of conflicts ""the Desire-the Desire"" and ""Avoidance-Avoidance"". Distribution function for the problem of the choice of two positive options is being shifted to the left, in the negative direction, compared with the function for a choice of two unattractive possibilities. The work has shown the promising use of such figure as the affective perception for researching of intrapersonal conflict. The obtained results possess as General methodical so purely situational, specific significances.

Keywords: conflict, intrapersonal, emotional perception, semantic differential, psycho-semantic model, distribution function, stratification of groups, comparative analysis, perception of types of conflicts

The paper presents the results of a comparative analysis of estimates of the levels of emotional perception, is satisfied in full and shortened semantic scales. The studies were performed on specific experimental data obtained in the measurement of deprivation attitudes of students Academy of architecture and construction DSTU at the end of 2016. It is found that the decrease in the number of signs in the semantic scale to the optimum leads to small changes in the assessments of emotional perception. At the individual level the changes are mostly (70%) not more than 10%,and in the whole group even less.

Keywords: relative deprivation, semantic space, factor analysis, rating scale, experimental regularity, factorization of scales, psychophysiological nature of the law of factorization, the optimal set

The results of the pilot survey conducted in late 2016 are presented. The purpose of the measurement was identifying deprivation of students as a characteristic indicator of political tension among the youth. The cognitive component of the perception of their relative deprivation was determined by direct survey. Using the obtained results the distribution function of these parameters according respondents was constructed. In the whole group it was received a fairly low declared level of deprivation. The sub-group with low and average level is 92% and only 8% of respondents noted the high level of this indicator. Interpretation of survey data was conducted using the early developed psychosemantic phenomenological stochastic model. In the model the relationship of level of emotional perception with the received data was determined stochastic integral-differential equation. It had a Monte Carlo in the multi-agent simulation package AnyLogic. In the end, the statistical characteristics such as the distribution function for affective perception of the relative deprivation according respondents were determined. In the whole group affective component is higher than the declared cognitive one. It is suggesting the need for assessments of deprivation using not only the cognitive measure, but also affective measure. In particular, the proportion of respondents with high deprivation according to this estimation higher than that obtained by direct survey and is 12%. This part of respondents is a subgroup of the risk opportunities for the development of the protest.

Keywords: political tensions, relative deprivation, cognitive component, a direct survey , the affective component, semantic differential, stochastic model, a typical potential, Monte-Carlo distribution function, group risk

The article discusses research methodology of intrapersonal conflict by using the affective component of appropriate social attitudes. We analyze three kinds of internal contradictions. Which are classified by K. Levin as the conflict of ""Desire-Commitment"", ""Avoidance-Avoidance"" and ""Commitment-Avoidance"". They are all connected with a choice of appropriate object or action (equal or different valences) of the two equally probable. The affective component of perception of such internal contradictions is determined by the technology of semantic differential on the basis of the survey conducted at the end of 2016 among students DSTU. For the interpretation of the results used the previously developed technique. The distribution functions of the emotional perception of those conflicts are described in article. Which were calculated as in the linear approximation and a nonlinear lookup psychosemantic model. It is obtained that the average affective perception of the studied conflicts neutral or close to that. But the researched audience is very heterogeneous in its emotional attitude to such conflicts. The distribution function is strongly smeared almost all over the range of levels of perception. While approximately half of the respondents are characterized by positive attitude to internal contradictions. This suggests that positive role of conflicts associated with the resolution of problems of an appropriate level subconsciously affects on estimates. A few unexpected results were obtained by a comparison of the perception of conflicts ""the Desire-the Desire"" and ""Avoidance-Avoidance"". Distribution function for the problem of the choice of two positive options is being shifted to the left, in the negative direction, compared with the function for a choice of two unattractive possibilities. The work has shown the promising use of such figure as the affective perception for researching of intrapersonal conflict. The obtained results possess as General methodical so purely situational, specific significances.

Keywords: conflict, intrapersonal, emotional perception, semantic differential, psycho-semantic model, distribution function, stratification of groups, comparative analysis, perception of types of conflicts

The paper discusses methods of measuring General emotional state of respondents as an indicator of social health of the study group, particularly in relation to the political field. It is based on a survey among students of the Rostov State University of Civil Building conducted at the end of 2015. The research was pilot in nature, all were interviewed 57 people of younger courses. Of these, 84% men, 16% women. The national composition of the sample was about the same as in all educational institutions. To measure the affective component of emotional States has been adapted previously developed a projective technique, based on the technology of semantic differential Charles Osgood. Levels of perception of emotional state were calculated for each Respondent individually, the proximity in the semantic space of the image of a real object from images of the ideal constructs. The paper presents the distribution function of the affective level was found in the linear model. In addition, to clarify the results of the interpretation, previously developed psychosemantic phenomenological nonlinear model was adapted to our conditions. Updated distribution functions confirm the trends obtained in the linear approximation. Obtained that on average the studied audience is characterized by a neutral emotional state, while 40% said their condition as negative and 33% positive. In the first approximation of the distribution function it is possible to allocate three groups of respondents. The subgroup with persistently positive emotional state (level of 0.4 to 0.6, on a scale from -1 to +1) – 14%, with a neutral or a slightly positive (0 to 0.3) is 44% negative – 37%. At the same time of the last population of the respondents 30% (of the total) are characterized by a small negative as (-0.3 to -0.1). And only 7% perceive their emotional state is quite negative (-0,4 level and below). And they are a subset of risk, which can develop socio-political tensions. Note that these estimates coincide with earlier obtained results based on the measurement of the perception of political orders. Designed questionnaire allowed to identify not only the affective component of perception of their own emotional States, but also cognitive. Comparative analysis showed that the estimation of the cognitive component is quite overpriced as a General emotional state, and the share of group risk (more than twice), which can develop the mood of protest. The study should be complemented by an analysis of affective component of perception of their emotional state.

Keywords: emotional state, affective component, cognitive component, semantic differential, theory of the perception of Coombs, the linear approximation, the distribution function, the nonlinear stochastic model, multi-agent model, risk group, political tensions

Some experimental regularities obtained on the basis of monitoring and modeling the emotional perception of social processes, which are carried out from 2009 to the present moment by method of semantic differential are given. Total for this period were surveyed several thousand respondents, mainly students of Rostov-on-Don, Grozny, Vladikavkaz and Karachaevsk. And also the politically active part of the population of Rostov-on-Don. The purpose of the survey was to identify the emotional perception of the local and central political orders, own level of relative deprivation, cultural infrastructure and cultural life of the city as a whole, own emotional state. Received partial confirmation law factorization primary space of Ch. Osgood. For all these objects and any groups primary semantic signs reduced to three-four factors. However, we have shown that this regularity is observed only for the classical factorization method, in which the factors are identified based on the minimization of a specific random residue. For other methods of factoring the number of identified indicators of latent increases. Should be noted that this result was not previously observed in the literature. The second part of the Osgood’s law the nature of latent indicators as the factors of assessment, force and activity doesn't possess such commonality. For our subjects splitting primary signs into bunches doesn't occur, all signs are mixed in each factor. Results of the factor analysis, received by a cognitive part of the questionnaire has shown, as for these parameters the same regularity is carried out, as for a semantic part. All set of primary signs reduced to four-five latent factors. Cognitive part of the questionnaire has no relation to a technique of semantic differential. Common for both parts of the questionnaire is rating scales are used. And the result suggests that the observed regularity factorization by Osgood is not connected with the specific semantic space and emotional perception, and is a special case of a general factorization of any rating scale. For verification of this assumption was conducted the research results of poll SFU’s students to identify satisfaction with the educational process carried out in 2015. Questioning had purely cognitive character, 20 primary cognitive signs characterizing educational process from various parties have been used. In total, about 4,000 students were surveyed. Factorization of the classical method showed that the three indicators describe the 95% of the variation of the primary signs, and four - 97%. It convincingly shows the general nature of factorization of both semantic, and cognitive rating scales. We have suggested that the nature of such regularities lies in the psycho-physiological peculiarities of the formation of the respondents estimates. On average the person estimates any object no more than on three – four factors. In attempt to increase the number of estimated parameters is beginning to follow the correlation between them. This result makes for a fresh look at the development of questionnaires and on the adequacy of many of previous polls. It turns out that the use of large scale (the number of parameters to be estimated much more than four) does not make sense, they still rolled up to four factors. In this case the adequacy of the results will be decrease. Identify a limited perception of the estimated parameters is an additional source of errors in the measurement results. Fully it belongs to all earlier received results on a large rating scales.

Keywords: semantic differential, Osgood, semantic space, factor analysis, the classical method, latent factors, rating scales, experimental regularity factorization scales, psycho-physiological nature of the law factorization

The work is dedicated to the analysis such indicator of the contentious background as an emotional state. The study has both theoretical and practical orientation. The theoretical framework discusses the origins of the relationship of latent protest with this indicator. In practical terms, the work adapts to the problem conditions previously developed measurement technique according to the technology of semantic differential. Testing was conducted on the basis of concrete experimental data obtained by questionnaire survey among students DSTU (faculty "Innovative business and management") at the end of 2015. The Survey was of a pilot nature, was attended by 79 students, mostly 2 - 4 courses. To measure the affective component respondents were asked to characterize the semantic scales of his real emotional state, as well as two perfect construct. Measured the affective level of perception of the emotional state based on the proximity in the semantic space of the image of the real object to ideal constructs. In particular, in the linear approximation, as polprasert the appropriate relative distances. In addition to the distribution functions of the searched level of the respondents obtained through the linear approach, the paper presents updated results. The latter was calculated according to adapted for these purposes, a previously developed stochastic non-linear model. In models of individual affective level of perception was defined by stochastic integro-differential equation of gradient type. Which is numerically solved using the agent-oriented simulation package AnyLogic. Using Monte Carlo for these solutions was determined by the statistical parameters of the study audience, such as the responsibilities in the distribution of the respondents affective level of perception of their emotional state. In the whole group received a neutral level of perception of the emotional state, the average for all respondents the value zero. A large part of the studied audience (81%) showed a positive or moderately negative emotional state. And this indicator is not characterized by a high degree of conflict. And only a small portion (9%) is very negative (from -0,6 to -1 on a scale from -1 to +1) emotional state, contributing to the development of the protests. The result shows the potential of the developed method of measurements to assess the risk of political tension. This is the first main result. In particular, for the study of the audience revealed that this subgroup of the risk is 9% of the respondents. Note that this estimate coincides with the results of the monitoring in the affective perception of political orders, also conducted earlier among the students of the same faculty. The second important result is connected with a comparative analysis of affective and cognitive component of perception of emotional state. The cognitive component was determined for the appropriate group of questions in the same questionnaire. It is found that when cognitive appraisal of their emotions by the respondents at the average position values that are different from the actual feel. This indicates the failure of the direct conventional estimates of emotional state and the need of measuring the affective component.

Keywords: emotional state, affective component, cognitive component, semantic differential distribution function, the nonlinear stochastic model, multi-agent approach, the risk, conflict potential

The study was conducted on more practical material for monitoring the emotional perception of such social phenomena as local and Central political orders, their own level of relative deprivation, cultural infrastructure and cultural life of the city as a whole, their own emotional state. Since 2009, performed a survey of several thousand respondents on the subject with the use of technology of semantic differential. The aim of this work is the ranking used semantic scales in terms of relevance to respondents and their selection of the optimal set. It is necessary to increase the adequacy of the measurement and reduce errors. For calibrating semantic scales in the questionnaire, respondents were asked to evaluate not only the real object, but two perfect (positive completely satisfied respondents, and negative - totally unacceptable) of the same class. The distance between these images allowed us to assess the importance of each scale. For all the above objects of study, and each used a semantic scale was obtained of the distribution function of the significance level for the respondents. Obtained that this function is strongly smeared, across the range of values (in our normalization is from zero to one). Thus the studied scales are divided into three sets. A group of scales with good significance (for example, the scale of smart-stupid), for which zero significance show about 15% of the respondents, and the maximum is about two times more. Scales of moderate importance (for example, scale fast-slow), for which the significance in the whole range from 0 to 1 more or less same. And a group of poor significance (sharp, rounded etc.), for which the majority of the respondents poorly distinguish the corresponding characteristic. In the method of semantic differential emotional perception of the object is determined not by individual semantic scales, and the set of indicators. And for selection of optimal scales analysis of their individual significances insufficient. Need more total study of the significance of sets of scales. For these purposes, on the basis of a package of multidimensional data mining, Cognos (IBM) has developed a multidimensional model of the importance of semantic scales. It allows you to explore the sections with a fixed value for different sets of scales. On the basis of the analysis of the 20 initial semantic features were selected 8. More compared to the minimum (four) number provided the overlap does not distinguish between scales and the increase in the total significance of the whole set. For all the above-mentioned objects of study (in addition to their own emotional state of the Respondent) identified the optimal set of scales provides sufficient total significance. Questionnaires to assess emotional state showed that the individual significance of semantic scales for them are much lower than for other objects. There are only two groups of scales. Average, with approximately equal proportions of respondents across the range of significance. And bad, with the maximum distribution function at low important part. Signs with good importance at all. As optimum it is possible to take a set, the same as for other objects. But neither he, nor even a complete set of 20 scales will not provide the proper total value. When interpreting data on the emotional state in the work it is recommended to use the conventional Cartesian distance, as previously, we tested a weighted metric of urban areas (the Minkowski metric). Individual significance for each scale as coefficients of balanced. Scale with zero significance of this will automatically be eliminated, thereby improving the total significance of the feature set.

Keywords: the method of semantic differential, affective component, social objects, semantic scale, ideal constructs, significance, distribution function, cumulative importance, a multidimensional model, sections, sections, the choice of the optimal set

The technique of the multidimensional analysis of socio-political attitudes is shown on a concrete example. The results of questioning which was carried out in the spring of 2014 among the Rostov region population participating in the work of election commissions of the lower level are the basis for work. In total 144 persons were surveyed. On gender and age distribution, and also on socio-economic indexes our sample was typical for the above mentioned population. About 29 characteristics were used as input parameters in model. They were levels of affective and cognitive perception of the local and central authorities, cognitive estimates by respondents of the relation to various parties of socio-political life, the characteristic of a social portrait of respondents. The affective components were determined by technology of semantic differential, with the subsequent calculation within nonlinear approach. All cognitive components were computed by results of direct poll. Entrance sizes were unwrapped a multidimensional cube on a platform of a package of the multidimensional analysis by IBM Cognos. The functions of respondent’s distribution were computed both for separate components, and for various sections of a cube at the exit of model. The analysis for social and economic, national, confessional, territorial, gender profiles is carried out. It was discovered, in particular, the essential peculiarities in the territorial plan for the main leading factors of a conflictogenity (an affective component of political attitudes). Hierarchy of factors of social tension was created It is shown that the presented technique allows to conduct comprehensive investigation of a socio-political condition of any audience.

Keywords: questioning, semantic differential, affective component, direct poll, cognitive component, multidimensional cube, Cognos, social sections, territorial factor, social tension

The study is based on the results of the survey conducted on the technology of semantic differential in may 2015, RSBIU. The sample consisted of 137 people, and was typical in basic social settings for students. The subjective perception of the political order was calculated under the previously proposed psychosemantic phenomenological model in agent - oriented AnyLogic. Shows the features of the distribution respondents of the levels of perception of local and Central political authorities. At the group statistical level, the difference between the emotional relation to both branches of government are not significant. The average for the study group, the level of perception of 0.04 and 0.1, respectively (with the normalization from -1 to +1). Meanwhile, 52% and 54% of the respondents belong to neutral authorities (level from -0.2 to +0.2), 16% and 14% negative (level < -0,2), and 32% were positive with a level >0,2. Risk group with a strongly negative (level -0,5) with respect to both branches of government is 6% and 8%, respectively. Among this subgroup, it is possible the formation of contentious processes. A comparative analysis with the results of similar studies carried out earlier in may 2014, the last period, the subjective perception was virtually stable. By 2015, there was a slight decrease in the proportion of negative (1% for area and 3% for Russia) configured respondents who have moved to the neutral category. But at the same risk group with a strongly negative attitude to may 2015 increased by 1%.

Keywords: subjective perception, semantic differential, psychosemantic phenomenological model, distribution function, of the agent-oriented approach, comparative analysis

This paper is the final in monitoring and modeling of socio-political attitudes of students of the Chechen Republic, which were made on the basis of a survey conducted in mid-2015. Bringing together previously obtained results on the calculation and analysis of affective and cognitive components, revealed the full hierarchical structure of indicators of political attitudes. On the first level identified six parameters, which are reduced to three on the second one, and a two-dimensional matrix of conflict on the third level. The last index formed by the affective perception of the political order and an indicator of generalized political activity. The total conflict index was calculated on the basis of these components, by using psycho-semantic model developed on the basis of the concept of typicality, in the framework of catastrophe theory. The index of overall conflict potential is modeled by a random variable. Their distribution functions were determined by Monte Carlo simulation using agent - oriented simulation package Any Logic. The analysis and simulation showed in the whole group (81%) low level of contentiousness of 0.1-0.2 (for straight-line scale from 0 to +1). The high value of this parameter (0, 8-0, 9) was observed in a small proportion (13%), which is the subgroup of risk regarding possible development of the protests.

Keywords: students, Grozny, the cognitive component of the conflict potential, a parallel hierarchical structure, the emotional perception of political order, matrix, distribution function, multivariate analysis

This paper is the final in monitoring and modeling of socio-political attitudes of students of the University, made on the basis of a survey conducted in mid-2014. The index of overall conflict potential was constructed by using the previously obtained indicators of affective perception of political orders (local and Central) and parameter of general political activity. For this purpose, a psycho-semantic model developed on the basis of the concept of typicality, in terms of catastrophe theory. The index of overall conflict potential is modeled by a random variable. Its distribution function was determined by Monte Carlo simulation using agent - oriented simulation package AnyLogic. The analysis and simulation showed in average relatively low level of conflict 0,46 (straight-line scale from 0 to +1). While 54% of respondents characterized the conflict potential is below average (0.4 and below). The high value of this parameter (0,8-0,9) was observed in one third of respondents. This part of the study audience is the group of risk regarding possible development of the protests.

Keywords: the students, Rostov State Building University, cognitive component, emotional perception, conflicts, political order, matrix, psycho-semantic model, distribution function, Monte-Carlo, agent - oriented package

It is given the interpretation of the primary parameters of conflict obtained by survey (137 people). The studied audience was typical for undergraduate students on basic social characteristics. In the questionnaire the various parties to the cognitive perception of the political order were identified by direct survey. And the emotional relationship to local and Central government were obtained on the technology of semantic differential. The model is based on the results of the parallel hierarchical factorization cognitive components. On the first level 14 of the primary signs reduced to five factors. They characterize the socio-political expectations, declared and real political activity, evaluating the legitimacy of authorities and political situation. These indexes, in turn, on the second level are combined into two independent factors: General cognitive activity and perception of political orders. In the model the indices of the affective perception of these orders (calculated on the basis of the affective section of the questionnaire) were added to them. Two-dimensional histogram of the distribution component matrix for the respondents shows that the subgroup with both highly negative emotional perception and political activity is low (for example, a value of the first parameter -0.4 and below, and the second 0.4 and above is characterized by only 4% of respondents). These respondents represent a risk for the possibility of forming protests.

Keywords: questioning, cognitive component, semantic differential, conflicts, parallel hierarchical factorization, the affective component, matrix, distribution function, multivariate analysis

The work was performed on the experimental data obtained by questionnaires in mid-2015 among the students of the Grozny state oil technical University. All were interviewed 107 people. This sample was typical for the University on basic social indicators. The questionnaire consisted of two blocks, "of cognitive" and "affective" characters. The parameters of the perception of power, the level of protest, involvement in political processes (a total of 14 signs) were identified by a direct survey In the first part. Parallel hierarchical factor analysis conducted on these grounds. On the first level five independent parameters are identified. They are indices of socio-political expectations, the legitimacy of power, declared and observed political activities and assessment of the political situation. On the second level all of them are reduced to two factors. They define the General political activity and cognitive component perception of political power. The work gives the distribution function, all identified factors that characterize the structure of the cognitive components of political attitudes. On the second level indexes of emotional perception of local and Central political orders received in the affective section of the questionnaire are added to them. All the set of factors of the first and second level fully describes the various aspects of conflict, as reflected in the questionnaire.

Keywords: students, Grozny, questionnaire, semantic differential, a direct survey, the cognitive component of the conflict potential, parallel hierarchical factorization, emotional, political order, matrix, distribution function, multivariate analysis