Обоснование обратного алгоритма модели Месаровича-Мако-Такахары для решения задачи взаимодействия с ресурсами социальных сетевых структур
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.
The following article is devoted to analysis of civil identity's social foundations through the actor-network theory framework. Three aspects are considered: the specific character of civic identity as a subject-object interaction between the actor and the state, the network interactions in the «real» and «virtual» spaces, social memory, social and cultural experience, socially-relevant knowledge as a basis for forming a shared social context of civic identity.