Доверие и отношение к коррупции: анализ социальной сети студентов
Exploring complicated social-economic phenomena, such as corruption, implies understanding various characteristics of the society. In particular, the level of social capital can be judged as an indicator of system efficiency. In this paper we investigate the relations between personal and general trust and corruption perceptions using data from the survey conducted in 2013 in NRU HSE – Nizhny Novgorod master programs.
Preliminary results show that correlation between those parameters happen to differ depending on the type of trust and network characteristics, therefore further analysis of quantitative and qualitative indicators is needed.
The efficiency of social reforms in different countries mostly depends on the extent to which they can be accepted by people. Moreover, even if the problems are similar, the reasons may differ, which can lead to fail in applying existing laws of one state to another one. Bribery, as shows the Corruption Perception Index, calculated by Transparency International, is a typical problem for developing countries – that also matches research (Levin & Satarov, 2000; Ilzetzki, 2010) concluding that corruption has roots in socialist regimes and that in recently established political stability instable economic situation leads to growth in crime. The main problem within the scope of this project is to identify the relation between corruption perception and level of trust in the society and to distinguish the differences in factors affecting these characteristics in post-soviet countries. The research discoveres that distrust matters a lot for the problem in Russia and suggests further examining European countries in order to explain the difference in trust.
The article examines differences between two Russian regions – Moscow and Bashkortostan – through the following socio-psychological indicators: perceived social capital, trust, civil identity, life satisfaction, and economic attitudes.
It is known that charity, as with any social institution that depends on both external and internal factors. In this article the author analyzes the relationship of charity and the level of development of such internal factors as trust. The analysis was conducted on a global level and at regional level in Russia. The resulting lack of relationship to regional level and its presence in the world say that in Russia at the moment there is no required number of relevant data, based on which one could draw a conclusion about the level of philanthropy.
The book’s stated objective is to uncover context, “how social capital interacts with social institutions.” It is part of a new wave of research on social capital that, dissatisfied with both macro analyses limited to societal patterns and micro analyses limited to actors’ conditions, seeks to understand the operation of networks at the meso-level: how institutions and organizations structure the transfer of resources across networks. It purports to make both theoretical and methodological contributions, the first by developing the concept of “institutional logics,” the latter by “casting diverse contextual settings as ‘generators’ of social relations”, and studying these contexts from multiple methodological perspectives. (from a review by M. Small)
The book includes proceedings of the conference “Business. Society. Human” (October 30–31, 2013, Moscow) organized by National Research University Higher School of Economics. The purpose of the conference: interdisciplinary analysis of actual problems of studying business in the social sciences: the relationship between business and society; social capital and trust; business and corporate culture; individual, group and organization in business; problems and prospects of business education and business consulting, etc. The book present the results of researches of trust and social capital carried out in various countries in Europe, Asia and in Russia. Authors are well-known sociologists, psychologists and economists. The results of these researches were presented at the conference. The papers are published as they were submitted by the author.
There have been implemented engineering and development of multi-agent recommender system «EZSurf» that performs analysis of interests and provides recommendations for the social network «VKontakte» users based on the data from profile of particular user. During the work process different methods and technological solutions have been analyzed with examination of their advantages and disadvantages. Besides of that the comparative analysis of analogous products has been held where the most similar is Russian start-up service - Surfingbird. Based on this analysis the decision of recommender system implementation and integration has been accepted. The feature of this system is that it uses social network “VKontakte” profile for user’s data collection and API of third-party services (LastFM, TheMovieDB) for an extraction of information about similar objects. Such an approach contributes into optimization of recommender system, because it does not require creation of its own object classification system and objects database. The functionality of multi-agent system was separated between three agents. First agent (Collector) collects user data from “VKontakte” profile using VK API. Second agent (Analyzer) collects similar objects from databases of thitd-party services (LastFM, TheMovieDB) that will be the criteria for further search of recommendatory content. For search and selection of information an agent (Recommender) that works as web-crawler has been implemented. System «EZSurf» can be exploited by the users of social network “VKontakte” in everyday life for time economy on web-surfing process. At the same time they will get recommendations on content that are filtered depending on preferences of every particular user.
This paper examines determinants of corruption across Russian regions. Key contributions include: (i) a formal study of economic corruption determinants across Russian regions; (ii) comparisons of determinants of perceived corruption versus those of actual corruption; and (iii) studying the influence of market competition and other factors on corruption. The re-sults show that economic prosperity, population, market competition and urbanization are significant determinants of Russian corruption. The use of alternative corruption measures reveals that economic prosperity and population have a largely similar impact on corrup-tion perceptions and corruption incidence. However, there are significant differences in the effects of competition and urbanization.