A Privacy Analysis Method to Anonymous Graph Based on Bayes Rule in Social Networks

2018 ◽  
Author(s):  
Ge Wen ◽  
Hai Liu ◽  
Jun Yan ◽  
Zhenqiang Wu
Keyword(s):  
Social Networks ◽  
Bayes Rule ◽  
Analysis Method ◽  
Privacy Analysis

Formation of the musician's personal brand on social networks (using the example of P. Drangi and A. Vorobyov)

2020 ◽  
pp. 26-36
Author(s):  
Varvara A. KUZMINA ◽  
Marina V. TERSKIKH
Keyword(s):  
Social Networks ◽  
Individual Characteristics ◽  
Analysis Method ◽  
Career Trajectory ◽  
Four Dimensions ◽  
Image Characteristics ◽  
Content Analysis Method ◽  
Comparative Aspect ◽  
Personal Brand ◽  
The Individual

We considered the problem of formation of personal brand through content of social networks. Based on modern works on personal branding and classification proposed by image-making specialists, we considered strategies and technologies for creating a personal brand by two creative personalities in a comparative aspect: P. Drangoy and A. Vorobyov. We understood a personal brand as a complex of images and associations that is actualized in the minds of people when mentioning the name of a certain person. We modeled P. Drangi and A. Vorobyov's personal brands by determining the competencies, standards and style that they broadcast in the Internet space; key image characteristics of both artists are analyzed, we considered image in four dimensions: visual, verbal, context and event. We used the comparative analysis method and the content analysis method as the basic ones. The material for the study was content posted by musicians on personal official pages on social networks. The appeal to this content made it possible to determine the general in building the image of the star of the modern scene, taking into account the individual characteristics of each musician. In conclusion, we made the conclusion about the ability of an account on a social network to influence the artist's image, his concert activity and career trajectory.

IDEALIZATION OF ROLE BEHAVIOR IN THE SPACE OF SOCIAL NETWORKS (ON THE EXAMPLE OF THE ANALYSIS OF THE IMAGE OF THE IDEAL MOTHER)

2020 ◽  
pp. 54-59
Author(s):  
O.Yu. Verpatova ◽  
Keyword(s):  
Social Networks ◽  
Content Analysis ◽  
Analysis Method ◽  
Role Behavior ◽  
Content Analysis Method ◽  
The Ideal

It is noted that social networks embody the idea of simulacra, described in the works of Zh. Baudrillard. The problem of forming the image of the "ideal mother" using a social platform such as Instagram is analyzed. The content analysis method identifies and describes various aspects of the representation of motherhood by popular bloggers and analyzes the possible risks of consuming this content by users.

scholarly journals Popularity in Social Networks. The Case of Argentine Beekeeping Production Entities

Agriculture ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 694
Author(s):  
Jimena Andrieu ◽  
Domingo Fernández-Uclés ◽  
Adoración Mozas-Moral ◽  
Enrique Bernal-Jurado
Keyword(s):  
Social Networks ◽  
Word Of Mouth ◽  
Qualitative Comparative Analysis ◽  
Organizational Factors ◽  
Organizational Characteristics ◽  
Analysis Method ◽  
Digital Platforms ◽  
Online Business ◽  
Word Of Mouth Communication

The context of the COVID pandemic has accelerated the pace of the digitalization of society, especially of its business fabric. Among the various applications offered by the Internet, social networking platforms have been identified as powerful tools that organizations have at their disposal for the development of their online business activities. This is due to the closeness and trust generated by word-of-mouth communication. In this context, the aim of this article is to identify which organizational characteristics are directly related to popularity on social networks, measured by the number of followers on these accounts. In order to achieve this objective, the Argentinean beekeeping organizations have been taken as a case study and the fuzzy set Qualitative Comparative Analysis method has been used. The results obtained allow us to validate the different organizational factors which, beyond the use of Facebook itself, lead to better results for the organizations in their social network strategies. These factors include their cooperative nature, localization, environmental sensitivity and presence on other digital platforms.

scholarly journals Artificial Intelligence as a Source of Political Thinking

2020 ◽  
Vol 4 (2) ◽  
pp. 23-33 ◽  
Author(s):  
I. Bykov
Keyword(s):  
Artificial Intelligence ◽  
Social Networks ◽  
Big Data ◽  
Political Communication ◽  
Meta Analysis ◽  
Research Question ◽  
Analysis Method ◽  
The Past ◽  
Scopus Database ◽  
Number Of Publications

The aim of this work is to study the state of current research in the field of politics and AI. Our research question is about the possibility of using artificial intelligence in order to run political judgments. The main problem of researching artificial intelligence deals with the value-based biases of judgments about the present and the future of these technologies. The article uses the meta-analysis method, which in recent years has become quite widespread in the specialized literature. The article provides an overview of the most cited publications in the Scopus database with the keywords “Artificial Intelligence” and “Politics”. In total, the study has included 76 articles and reports that were indexed by the database over the past 20 years. It is concluded that in recent years there has been a trend towards an increase in the number of publications on the problems of artificial intelligence and politics. However, most of them are only indirectly related to the central problems of political science. The study of the topic of artificial intelligence most closely adjoins the study of the problems of big data and political communication in social networks.

scholarly journals Veiculação e circulação de notícias sobre a pandemia de coronavirus nas redes sociais de emissoras de rádio de Frederico Westphalen, RS

2021 ◽  
Vol 16 (27) ◽  
pp. 24
Author(s):  
Marcio Morrison Kaviski Marcellino ◽  
Lidia Paula Trentin ◽  
Mônica Cristine Fort
Keyword(s):  
Social Networks ◽  
Content Analysis ◽  
Analysis Method ◽  
Radio Stations ◽  
Content Analysis Method ◽  
The Social ◽  
Facebook Pages

Busca-se compreender como se dá a veiculação de informações referentes à Covid-19 nas páginas do Facebook das rádios Luz e Alegria AM 1160 e 95.9 FM e Comunitária 87.9 FM de Frederico Westphalen, RS. Para tanto, foi adotado o método de análise de conteúdo das postagens e dos comentários relacionados à doença. Pode-se observar que as postagens são, majoritariamente, manchetes, gravatas e links direcionando aos sites. O engajamento se dá por meio de curtidas, seguido de compartilhamentos e comentários, cujos discursos se referem, principalmente, a manifestações político-partidárias e de empatia. Broadcasting And Circulation Of News About The Coronavirus Pandemic In The Social Networks Of Frederico Westphalen, RS, Radio BroadcastorsAbstractIt seeks to understand how information about Covid-19 is transmitted on the Facebook pages of the radio stations Luz e Alegria AM 1160 and 95.9 FM and Comunitária 87.9 FM in Frederico Westphalen, RS. For that, the content analysis method of the posts and comments related to the disease was adopted. It can be seen that the posts are mostly headlines, subtitles and links directing to the sites. Engagement takes place through likes, followed by shares and comments, whose speeches refer mainly to political and party manifestations and empathy. Keywords: Pandemic; radiojournalism; digital social networks.

scholarly journals Tracing Public Opinion Propagation and Emotional Evolution Based on Public Emergencies in Social Networks

2018 ◽  
Vol 13 (1) ◽  
pp. 129 ◽  
Author(s):  
Huang Wei-dong ◽  
Wang Qian ◽  
Cao Jie
Keyword(s):  
Social Networks ◽  
Public Opinion ◽  
Social Network ◽  
Analysis Method ◽  
Evolution Mechanism ◽  
Healthy Development ◽  
The Public ◽  
Internet Users ◽  
The Subject ◽  
The Government

Social network has become the main communication platform for public emergencies, and it has also made the public opinion influence spread more widely. How to effectively obtain public opinions from it to guide the healthy development of the society is an important issue that the government and other functional departments are concerned about. However, the interaction and evolution mechanism between the subject and the environment in the public opinion propagation is complicated, and the public and media attention and reaction to the incident are closely linked with the progress of the incident disposal. And public mining corpus has some shortcomings in the distribution of emotional classification. Only the timely update of artificial rules and emotional dictionary resources, it can handle new text data well. In fact, from the perspective of public opinion propagation, this paper built the network matrix between Internet users through the forwarding relationship, and used the social network analysis method and the emotion mining analysis technology to study the interaction and evolution mechanism between the subject and the environment in the public opinion propagation, and it studied the role of users in the emotional propagation of social networks. This paper proposed a sentiment analysis method on the micro-blog platform, which expanded the emotional dictionary and took sentence and emoticon and sentence patterns into account, which improved the accuracy of positive and negative classifications and emotional polarity analysis of the micro-blog.

Sign in / Sign up

Export Citation Format

Share Document