Новая коммуникационная стратегия российской оппозиции
In this paper we propose two novel methods for analyzing data collected from online social networks. In particular we will do analyses on Vkontake data (Russian online social network). Using biclustering we extract groups of users with similar interests and find communities of users which belong to similar groups. With triclustering we reveal users’ interests as tags and use them to describe Vkontakte groups. After this social tagging process we can recommend to a particular user relevant groups to join or new friends from interesting groups which have a similar taste. We present some preliminary results and explain how we are going to apply these methods on massive data repositories.
The article discusses the phenomenon of interconnected glocal hospitality communities which have recently spread over the world in the context of the internet development and cultural globalization processes. It focuses on a typical community of users of CouchSurfi ng.org, a major social hospitality network in St. Petersburg. The author argues that, in the framework of this web service, there occurs a transformation of virtual groups of users localized in various spots of the globe into actual interconnected glocal communities which shape shared identities, norms, values, and practices among its members.
This article presents the analysis of blogs — a new text type in the Internet. The texts are discussed from the perspective of text linguistics. Nowadays, Internet texts gain increasing popularity with the users; however, traditional methods of text linguistics are not capable of revealing the many-sided nature and uniqueness of the given types of texts. Therefore, introduction of new criteria of the analysis and estimation are essential for the fundamental analysis of the new phenomena in text linguistics.