Analyzing Web Presence of Russian Universities in a Scientometric Context
In this paper, we analyse the strategies and stratification of Russian universities in the Northwestern region. By enriching traditional social network analysis scientometric tools, we developed web presence indicators focused on the contexts in which universities are linked with businesses and are mentioned in media. We treat resulting groups in terms of Gouldner’s cosmopolitans versus locals theory, based on differences in their publication strategies, and embeddedness in business connections and media contexts.
The ISSI 2017 Conferences provide an International forum for scientists, research managers and administrators, as well as other professionals related to information and communication science to share research and debate the new advancements of Informetrics and Scientometrics theories and applications. The theme of the 16th International Society of Scientometrics and Informetrics Conference is the theory, method as well as principle of five metrices science concepts including Bibliometrics, Informetrics, Scientometrics, Webometrics and Knowledgometrics.
An important text mining problem is to find, in a large collection of texts, documents related to specific topics and then discern further structure among the found texts. This problem is especially important for social sciences, where the purpose is to find the most representative documents for subsequent qualitative interpretation. To solve this problem, we propose an interval semi-supervised LDA approach, in which certain predefined sets of keywords (that define the topics researchers are interested in) are restricted to specific intervals of topic assignments. We present a case study on a Russian LiveJournal dataset aimed at ethnicity discourse analysis.
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Russian universities are increasingly competing for additional funding. This paper proposes a rating of scientific and practical effectivity of Russian universities, based on the account of the funding obtained through the research and development; assess the sustainability of built rating. Identified universities ranking leaders and disclosed "technological" model their success, discussed their policy of diversification of funding sources. There are typical examples of a new trend higher education market - "technologization" leading social and humanitarian universities.
The purpose of this research is to describe the agenda set by the Internet-active part of the Russian public in Russia’s leading blog platform LiveJournal. This is done through modelling the Livejournal’s topic structure viewed as a reflection of online public opinion. Topic modelling is performed automatically with a LDA algorithm, and complemented with hand labelling of topics. Data are collected by the original software to a relational database that houses all posts of Livejournal top users from three selected periods. The research finds that Livejournal top users share their attention evenly between social / political and private / recreational issues, the latter being very stable, while the influence of protests in 2011 is clearly visible in the political part of the blogs’ content. The group of topics centred around social issues demonstrates the biggest volatility and may serve as an online public opinion barometer that may be applied for proactive policy making.