The Internet Community as a Phenomenon of Modern Network Culture (on the example of the KVN community in the social network VKontakte)

Communicology ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 146-154
Author(s):  
D.A. Ryazanov

This paper discusses the characteristics and specific features of the Internet community ‘I love KVN’, whereas identifying user tokens in a network group are shown during their adaptation in the community. The author considers users’ techniques and virtual tools (audio recordings, video recordings, text publications, images, animated images, posters, polls, etc.). The Internet, as unique in terms of the its conditions and possibilities, makes it possible to study sociological phenomena that were not actualized or so accessible to empirical study in different environment of activity and interaction. This is relevant in the light of the rapid development of thematic communities on the VKontakte social network. According to the Levada Center analytical center, today about 72% of the population of the Russia use the Internet “daily or almost daily” and “several times a week”. At the same time, about 45% of citizens go online “several times a day”; these are, first of all, the youngest Russians under the age of 25 (87%). The focus of our consideration is the group on VKontakte “I love KVN”. KVN (The Club of Cheerful and Inventive) is one of the first projects that appeared on domestic television in the format of a humorous game, in which teams (educational institutions, universities, enterprises, cities and so on) compete in humorous answers to questions asked, improvisations on given topics, playing pre-prepared scenes. In the narrow sense, KVN is a competition in one’s own wit. The long-term history of the project (since 1961) and the relentless attention to the game from the mass audience determined in many respects the appearance of communities of lovers of intellectual humorous competitions on various types of venues. With the advent of social networks on the Internet, many KVN fans have joined together in a community that currently numbers approximately 670 thousand people.

Author(s):  
Violetta Gaputina

This article addresses the issues of organizing the communicative space of modern media. The main focus is on considering the names of podcasts - audio blogs on the Internet - in terms of the various language techniques used in them. The material for the study was podcasts operating on the platforms of the Internet site YouTube and the social network Vkontakte in Russia. 9 groups of podcast titles were identified by the type of reception underlying each name. It has been established that the corpus of titles in the podcasting industry is characterized by a wide variety. Among them, original names predominate, built on the basis of a language game, precedent texts, borrowings from other languages, stylistically marked words or implicit meaning, metaphorical, symbolic, ironic component embedded in them, which work on the implementation of a contact-establishing strategy for subsequent communication between mediators and the audience listeners.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Yanni Liu ◽  
Dongsheng Liu ◽  
Yuwei Chen

With the rapid development of mobile Internet, the social network has become an important platform for users to receive, release, and disseminate information. In order to get more valuable information and implement effective supervision on public opinions, it is necessary to study the public opinions, sentiment tendency, and the evolution of the hot events in social networks of a smart city. In view of social networks’ characteristics such as short text, rich topics, diverse sentiments, and timeliness, this paper conducts text modeling with words co-occurrence based on the topic model. Besides, the sentiment computing and the time factor are incorporated to construct the dynamic topic-sentiment mixture model (TSTS). Then, four hot events were randomly selected from the microblog as datasets to evaluate the TSTS model in terms of topic feature extraction, sentiment analysis, and time change. The results show that the TSTS model is better than the traditional models in topic extraction and sentiment analysis. Meanwhile, by fitting the time curve of hot events, the change rules of comments in the social network is obtained.


2018 ◽  
Vol 12 (4) ◽  
pp. 69 ◽  
Author(s):  
Osama Rababah ◽  
Bassam Alqudah

The revolution in information technology and the use of the internet changed the lifestyle of people. A major change was in the way of shopping. Companies started to offer their products online using social network s and people started to buy from the internet. Using social network has many benefits to the users starting from exploring a large variety of products to the very first way of ordering and the availability of the products 24 hours a day. One of the main problems that is found in using a social network is trusting the using social network social network s. the student concern about trusting to buy from the using social network social network s. Trust is a major concern for the merchant too; his concern is how to gain the student trust and to keep it. Many factors play a major role in acquiring the student trust in the online market. These factors rely on the social network characteristics such as design, interactivity and age and other factors vary from the social network quality, service quality, security policy of the social network, the privacy policy, the guarantee offered, the satisfaction of the user, the ease of use, the risk aversion and the culture factors. This study introduces the trusting affecting factors mentioned above and their effect on the trustworthiness factors (ability, benevolence, and integrity) a trust model has been built to show the relation between these factors and the trustworthiness factors.


2020 ◽  
Vol 8 (2) ◽  
pp. 86-100
Author(s):  
Svetlana V. Riazanova

The point of the author’s research interest is mechanisms for the formation of a private religious community on the example of the Intersession brotherhood. A group of believers was emerged as part of the revival of the Orthodox life of the Kama region, but transformed into specific organization with features of popular religion, new religious movements and so-called “historical sects.” Author reconstructs the history of the community involving elements of the biographical method. The study is based on interviews and correspondence with former members of the community, close people of the residents of the commune, as well as analysis of the materials of the closed group on the social network, some audio of the groups’ seminars, photocopies of the working notebooks of the group and a series of photographs made by the believers. The investigation is based on the theoretical constructions of E. Goffman and the concept of total community. Intersession brotherhood appears as a community with the features of totality – territorial and communication closure of the residents, their employment in internal jobs, perception of the group as a family. Lack of privacy is combined with the presence of “mother-child” connection to the leader. The practice of naming for adults, the creation of new marriages, participation in gender-oriented councils create a special micro-environment with the unification of the world view. The system of privileges for advanced residents is supplemented by a developed system of fines. It makes possible to speak about special tools that lead to a change of values, a narrowing of the set of social roles and a reduction of critical thinking.


2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Huazhang Liu

With the rapid development of the Internet, social networks have shown an unprecedented development trend among college students. Closer social activities among college students have led to the emergence of college students with new social characteristics. The traditional method of college students’ group classification can no longer meet the current demand. Therefore, this paper proposes a social network link prediction method-combination algorithm, which combines neighbor information and a random block. By mining the social networks of college students’ group relationships, the classification of college students’ groups can be realized. Firstly, on the basis of complex network theory, the essential relationship of college student groups under a complex network is analyzed. Secondly, a new combination algorithm is proposed by using the simplest linear combination method to combine the proximity link prediction based on neighbor information and the likelihood analysis link prediction based on a random block. Finally, the proposed combination algorithm is verified by using the social data of college students’ networks. Experimental results show that, compared with the traditional link prediction algorithm, the proposed combination algorithm can effectively dig out the group characteristics of social networks and improve the accuracy of college students’ association classification.


Author(s):  
Lauri Goldkind ◽  
John G. McNutt

Technological advances in communications tools, the Internet, and the advent of social media have changed the ways in which nonprofit organizations engage with their various constituents. Nonprofits now have a constellation of tools including: interactive social media sites, mobile applications (apps), Websites, and mash-ups that allow them to create a comprehensive system for mobilizing supports to advocate for changing public policies. From Facebook to Twitter and from YouTube to Pinterest, communicating to many via words and images has never been easier. The authors explore the history of nonprofit advocacy and organizing, describe the social media and technology tools available for moving advocacy goals forward, and conclude with some possible challenges that organizations considering these tools could face.


Author(s):  
Will W. K. Ma

The concept of knowledge sharing finds historical support in theories on the acquisition and creation of knowledge. While the key to knowledge sharing depends on frequent and regular social interaction, the recent rapid development of the Internet has enhanced much of the social interaction taking place among individuals at any time, at any place, and with any person. Through a review of the literature, this chapter defines online knowledge sharing, discusses the effects of intrinsic and extrinsic motivational factors in explaining online knowledge behavior, explores the various forms of knowledge sharing in different online learning environments, and reviews the measurement of online knowledge sharing. The chapter also discusses online knowledge-sharing issues that should be addressed in future.


2013 ◽  
Vol 427-429 ◽  
pp. 2188-2191
Author(s):  
Lei Liu ◽  
Quan Bao Gao

The rapid development of network and information technology makes the network become the indispensable part in people's life. Network design uses email as a starting point, instead of actual letters. Then Happy Nets, BBS etc. are evolved from it, with virtual as their major feature. In the process of social networks evolution, the personal image transformed from the actual into the virtual one. All this has contributed to the birth of the social network, which then makes the contacts among people presenting the feature of network expansion and cost reduction. The popular social network nowadays is considered to be social plus network, namely, through the network, as a carrier, people are connected to form a virtual community with certain characteristics. Based on the genetic algorithm and genetic coding technology, the article is designed to make the optimal data analysis and create a optimistic cyber environment in the process of the social networks explosive development.


Servis plus ◽  
10.12737/7581 ◽  
2015 ◽  
Vol 9 (1) ◽  
pp. 42-47
Author(s):  
Олеся Губина ◽  
Olesya Gubina

The rapid development of the Internet-sphere involves an active expansion of the range of different online resources, technologies and opportunities for organizations for marketing purposes. This article is devoted to the promotion of educational services of universities using the Internet. In this paper we study the possibility of promotion of educational services of universities using Internet technologies that do not require significant financial investments, we also present the analysis of existing modern internet sites, which are used by universities for marketing purposes. The author explores the modern educational portals, sites of educational institutions, specialized sites reviews, social networks, search engines, portals and various themed e-mail services with respect to the efficiency of promotion of university educational services, identifies ways to promote university educational services via the Internet, developing recommendations to enhance their effectiveness. The paper presents the characteristics of the main groups of Internet resources, through which the promotion of educational services of universities can be made possible, gives examples of types of posting information about universities in order to promote educational services. The author gives her own research based on practical experience and work on online promotion of educational services of universities. According to the analysis of literature and the author´s studies, which reflect the main trends in the development of Internet technologies of promotion of educational services of universities, compiled a table summarizing the effectiveness of online resources and recommended content and low-cost methods of promotion of educational services of universities.


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