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EN
Typical models of human communities often involve networks consisting of several individuals connected by weaker or stronger ties. These networks provide a structured pathway of signal transmission through the community. In the modern information society, however, one observes a different type of community, which lacks a clearly defined and consistent structure. This paper presents a computer model of one such tie-less community, in which individuals pass the signal to random peers in random moments of time. Several simulations performed with the use of this model reveal that the tie-less community has interesting properties which are analogous to certain phenomena that occur in typical networks, including percolation, phase transitions and self-sustaining oscillations.
EN
The widespread use of computer-based technologies, mostly the Internet, constitutes a new dimension in the study of virtual nationalism. The use of distance-and time-shrinking information technologies – such as social media, virtual communities and websites of nationalist groups – has changed the structure and context of nationalism as well as the scholarly discourse on related topics in the digital age. Social media enable identity expression, exploration and experimentation; phenomena that are considered natural for the human experience. It is necessary to acknowledge that there are many different factors which inspire and shape the Internet communities and interactions they make within themselves. It is essential to comprehend the motives behind these influences in order to understand the group interactions on social media platforms. In this study the authors focus on the nationalist discourse in virtual communities and on social media; mainly the opposition and resistance manifestations in the cultural and social contexts are discussed. The authors thus offer a set of theoretical outlines on the given topic and base their analysis of some nationalists’ social media posts on the inductive method of inquiry. The study also concentrates on the need to figure out the negative consequences of such social media sharing in relation to various virtual groups and general users.
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