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The increasing popularity of Online Social Networks (OSNs), its complex and rapidly growing structure, its potential impact on business, politics, healthcare and society has led to a great deal of interest in the development of efficient influential nodes identification algorithms. Different kind of business organizations are trying to use the social networking sites to reach the target audience quickly and efficiently in terms of cost and time. The influential nodes can play an important role in it. In this paper the features of social network, models of social networks and different models or approaches used for identifying influential nodes in online social networks have been studied.

The author analyzes online social network as a social institute of a virtual type where individuals can present themselves to others by means of special practices. At the same time he indicates that these practices are similar to real ones by their relative equality in particular space and time due to reflexivity of actors. There are three major functional regulators of users behavior in online social network: 1) quantitative restrictions on self presentation determined by information formats; 2) qualitative matter of self presentation conditioned on norms of Russian and International legislations; 3) rituals of virtual interaction. The study shows what role VK-user profile plays in modern human interactions and how it affects communication practices. Case-study analysis of the standard form of VK-user profile allowed to learn the features of communication tools of the social network that on the whole are used for exchanging self-presentation data between its users. The author particularly focuses on instrumental capabilities of a section of VK-user profile form called "Personal views" that includes closed questions about existential and social values. A person can partially present him/her self in the network by selecting a short templated response to each closed question from a narrow range of alternatives. The study also considers the functions of authorized pages of celebrities who are some kind of "significant others" to their multiple admirers.

In the past, online social networks (OSN) like Facebook and Twitter became powerful instruments for communication and networking. Unfortunately, they have also become a welcome target for socialbot attacks. Therefore, a deep understanding of the nature of such attacks is important to protect the Eco-System of OSNs. In this extended abstract we propose a categorization scheme of social bot attacks that aims at providing an overview of the state of the art of techniques in this emerging field. Finally, we demonstrate the usefulness of our categorization scheme by characterizing recent socialbot attacks according to our categorization scheme.

Online Social Networks (OSNs), such as Facebook and LinkedIn, are now widely used. They count users in the hundreds of millions. This paper surveys popular OSNs in order to identify and present a pattern of recurring requirements, and a model of that pattern in the i-star requirements modelling language. The pattern can serve as a starting point for requirements engineering of new OSNs.