Emerging Perspectives on Using Avatar-Based Management Techniques for Internet User Investigations: Social Media as an Information Source

Emerging Perspectives on Using Avatar-Based Management Techniques for Internet User Investigations: Social Media as an Information Source

Leyla Ayvarovna Gamidullaeva (Penza State University, Russia), Sergey Mikhailovich Vasin (Penza State University, Russia), Nadezhda Chernetsova (Penza State University, Russia), Elena Shkarupeta (Voronezh State Technical University, Russia), Dina Kharicheva (Moscow Pedagogical State University, Russia) and Maria Gerasimenko (K. G. Razumovsky Moscow State University of Technologies and Management, Russia)
DOI: 10.4018/978-1-7998-1581-5.ch014

Abstract

This chapter shows that statistics collection methods are the same for various types of websites. Often, a simple “counter” is used for both unique visitors to the site and the total number of hits to the site from unique and previously registered users. Speaking of a “digital” or “smart” economy, authors distinguish different categories (levels) of development: analysis, content of business intelligence, large data warehouses. Business analytics can be divided into a number of parts: modeling and analysis of system dynamics, expert systems and databases; knowledge and technology; geographic information (geo location); system analysis and design. The various methods and forms of information (statistical models) used to identify non-trivial patterns and propose solutions are often associated today with the concept of data mining. Intelligent data analysis involves the use of knowledge from a complex of data (databases). According to experts, data mining is one of the elements that is part of the process (database management system), which includes the analysis and cleaning of data.
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Background

As the digital economy develops new categories enter the scientific revolution, including the term “digital maturity of the population”. We propose to understand by this term the level of digital susceptibility of society, due to many factors, including the historical features of the processes of digitalization, socio-cultural attitudes of the population (for example, with the level of interpersonal trust and trust in the authorities). A large role in increasing the digital maturity of the population, and as a result, in accelerating the digitalization of the economy, is undoubtedly played by social networks that contribute to the development of digital interaction by linking the user profile with images (avatars) of other individuals or groups. Social networks include a huge amount of online resources, each of which has unique features, such as social networks, blogs, microblogging, social news, social bookmarking and media sharing (Manzoor, 2008).

Key Terms in this Chapter

Digital Maturity: Is the process of the company learning how to respond appropriately to the emerging digital competitive environment.

Social media: Are interactive computer-mediated technologies that facilitate the creation and sharing of information, ideas, career interests and other forms of expression via virtual communities and networks. The variety of stand-alone and built-in social media services currently available introduces challenges of definition; however, there are some common features.

Social Network: Is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures.

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