Краудсорсинг как фактор репутации
The notions of crowdsourcing and reputation are compared. It is shown that crowdsourcing may be a significant factor influencing reputation formation of various social players; in strategic perspective it allows to build a new model of social interaction.
In this paper we present a review of the existing typologies of Inter-net service users. We zoom in on social networking services including blogs and crowdsourcing websites. Based on the results of the analysis of the consid-ered typologies obtained by means of FCA we developed a new user typology of a certain class of Internet services, namely a collaboration innovation plat-form. Cluster analysis of data extracted from the collaboration platform Witolo-gy was used to divide more than 500 participants into 6 groups based on 3 ac-tivity indicators: idea generation, commenting, and evaluation (assigning marks) The obtained groups and their percentages appear to follow the “90 – 9 – 1” rule.
The subject matter of the article lies between public law and economics. The article contains sources of legal regulation in state corporations, ways of their forming, jurisdiction, priorities and results of its activities achieved in western democracies. The author stresses the dependence of effectiveness of this public law institute on checks and balances as well as individual responsibility, responsibility for doings and refraining from doing by authorities, reputation of officials.
This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.
The article is devoted to analysis of concepts reputation and reputation management in conditions of modern Russian political reality. The author tries to determine positions of reputation communications in political sphere of Russia, which have a goal of social trust (base of strong civil society) development.
We create collaborative environment for collaborative creation, improvement and promoting bills within public and legislative projects. Enacting a new law means that a community devises out new rules which help it to become more efficient. Below are the principles on which legislative collaboration is based: Public construction of a document aiming at complex cloud issues has high educational value. The practice helps not only produce a quality document and build a community of people interested in its implementation, but promote the innovative document, maintain a new level of its understanding and perception by the society. 518 Collaborative document creation and voting has a priority over document deliberation. Our technology allows collaboration participants to create their own text versions, that could be voted for by other participants. The value of deliberation is less than the value of collaboration. Contemporary collaboration does not always need discussions. Discussion can take so much time and efforts that participants do not have resources to collaborate. The process of selecting text segments is based on the participants' voting. All the votes should be counted but the weight of each vote depends on the participant's impact and the estimation of this impact by the community. The more is the participant's impact and its estimation, the more is the participant's vote weight.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.