scholarly journals Digital Identities of Young People from the South of Spain: An Online Sexual Differentiation

Children ◽  
2021 ◽  
Vol 8 (12) ◽  
pp. 1179
Author(s):  
E. Begoña García-Navarro ◽  
Jose Luis Gil Bermejo ◽  
Miriam Araujo-Hernández
Keyword(s):  
Social Networks ◽  
Gender Inequality ◽  
Sexual Differentiation ◽  
Methodological Approach ◽  
Cultural Representation ◽  
The South ◽  
Know How ◽  
Networks Analysis ◽  
Prevention Activities ◽  
Digital Identities

Through a mixed methodological approach, we want to know how adolescents aged between 14 and 16 years from the south of Spain express and identify themselves on social networks, with respect to their sex. As such differences can determine gender inequality, we will analyse differences between females and males regarding the expression of identity on social networks. Analysis of obtained results demonstrates that many relevant attributes still emerge such as the socio-cultural representation of gender as sex in social networks. Differences emerged between the identity expressions of females and males which can generate inequalities favouring females and males. This implies a series of repercussions and, ultimately, defines the so-called digital gender divide. Taking into account these results we could intervene in the population of children to carry out prevention activities focused on social networks.

Social Networks Analysis in Accounting and Finance

2019 ◽  
Author(s):  
Pietro A. Bianchi ◽  
Monika Causholli ◽  
Miguel Minutti-Meza ◽  
Raul Villamil-Otero
Keyword(s):  
Social Networks ◽  
Social Networks Analysis ◽  
Networks Analysis

scholarly journals Community Detection Problem Based on Polarization Measures: An Application to Twitter: The COVID-19 Case in Spain

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 443
Author(s):  
Inmaculada Gutiérrez ◽  
Juan Antonio Guevara ◽  
Daniel Gómez ◽  
Javier Castro ◽  
Rosa Espínola
Keyword(s):  
Social Networks ◽  
Community Detection ◽  
Efficient Algorithm ◽  
Fuzzy Measure ◽  
The Political ◽  
Detection Problem ◽  
Additional Information ◽  
Political Position ◽  
Networks Analysis ◽  
Polarization Capacity

In this paper, we address one of the most important topics in the field of Social Networks Analysis: the community detection problem with additional information. That additional information is modeled by a fuzzy measure that represents the risk of polarization. Particularly, we are interested in dealing with the problem of taking into account the polarization of nodes in the community detection problem. Adding this type of information to the community detection problem makes it more realistic, as a community is more likely to be defined if the corresponding elements are willing to maintain a peaceful dialogue. The polarization capacity is modeled by a fuzzy measure based on the JDJpol measure of polarization related to two poles. We also present an efficient algorithm for finding groups whose elements are no polarized. Hereafter, we work in a real case. It is a network obtained from Twitter, concerning the political position against the Spanish government taken by several influential users. We analyze how the partitions obtained change when some additional information related to how polarized that society is, is added to the problem.

TASKS AND METHODS OF TEXT SENTIMENT ANALYSIS

2021 ◽  
pp. 55-62
Author(s):  
А. Mukasheva
Keyword(s):  
Social Networks ◽  
Sentiment Analysis ◽  
State Level ◽  
Video Object ◽  
Aspect Extraction ◽  
Networks Analysis ◽  
As Graph ◽  
Definition Of ◽  
Unstructured Information ◽  
Text Sentiment Analysis

The purpose of this article is to study one of the methods of social networks analysis – text sentiment analysis. Today, social media has become a big data base that social network analysis is used for various purposes – from setting up targeted advertising for a cosmetics store to preventing riots at the state level. There are various methods for analyzing social networks such as graph method, text sentiment analysis, audio, and video object analysis. Among them, sentiment analysis is widely used for political, social, consumer research, and also for cybersecurity. Since the analysis of the sentiment of the text involves the analysis of the emotional opinions expressed in the text, the first step is to define the term opinion. An opinion can be simple, that is, a positive, negative or neutral emotion towards a particular object or its aspect. Comparison is also an opinion, but devoid of emotional connotation. To work with simple opinions, the first task of text sentiment analysis is to classify the text. There are three levels of classifications: classification at the text level, at the level of a sentence, and at the aspect level of the object. After classifying the text at the desired level, the next task is to extract structured data from unstructured information. The problem can be solved using the five-tuple method. One of the important elements of a tuple is the aspect in which an opinion is usually expressed. Next, aspect-based sentiment analysis is applied, which involves identifying aspects of the desired object and assessing the polarity of mood for each aspect. This task is divided into two sub-tasks such as aspect extraction and aspect classification. Sentiment analysis has limitations such as the definition of sarcasm and difficulty of working with abbreviated words.

Semantic Social Networks Analysis

2017 ◽  
pp. 1-12 ◽  
Author(s):  
Christophe Thovex ◽  
Bénédicte LeGrand ◽  
Ofelia Cervantes ◽  
J. Alfredo Sánchez ◽  
Francky Trichet
Keyword(s):  
Social Networks ◽  
Social Networks Analysis ◽  
Networks Analysis

scholarly journals JORNALISMO REGIONAL NAS REDES SOCIAIS: a cobertura político-eleitoral na fanpage do jornal o estado do Maranhão

2018 ◽  
Vol 4 (6) ◽  
pp. 347-381
Author(s):  
Michele Goulart Massuchin ◽  
Regilson Furtado Borges
Keyword(s):  
Social Networks ◽  
Content Analysis ◽  
Social Network ◽  
Methodological Approach ◽  
The Political ◽  
Redes Sociales ◽  
Digital Part ◽  
Palabras Clave ◽  
The Social ◽  
La Red

Este artigo apresenta uma análise sobre como o jornal O Estado do Maranhão (MA) se apropria da sua página no Facebook como espaço para difundir conteúdo jornalístico. A abordagem metodológica é quantitativa e qualitativa a partir da análise do conteúdo de 608 posts extraídos da fanpage do jornal e de entrevista com a responsável pela versão digital do veículo. A pesquisa tem por objetivo analisar as características dos conteúdos distribuídos pela rede social, especialmente observando o espaço destinado para temas políticos e eleitorais. A análise trabalha com as seguintes características: temas, tema eleitoral, abrangência, valência e interação. Como resultado principal ressalta-se que O Estado do Maranhão concedeu espaço considerável para o tema político-eleitoral, com baixa presença de entretenimento.   PALAVRAS-CHAVE: Jornalismo; redes sociais; eleições.   ABSTRACT This article presents an analysis of how the newspaper O Estado de Maranhão (MA) appropriates the Facebook page as a space for disseminating journalistic content. The methodological approach is quantitative and qualitative from the content analysis of 608 posts extracted from the fanpage of the newspaper and interview with the responsible for digital part of the vehicle. The research aims to analyze the characteristics of the contents distributed by the social network, especially observing the space destined for electoral subjects. The analysis discuses these characteristics: themes, electoral theme, scope and engagement. As a main result, O Estado do Maranhão granted considerable space for the political-electoral theme.   KEYWORDS: journalism; social networks; elections.     RESUMEN Este artículo presenta un análisis sobre cómo el diario El Estado de Maranhão (MA) se apropia de su página en Facebook como espacio para difundir contenido periodístico. El enfoque metodológico es cuantitativo y cualitativo a partir del análisis del contenido de 608 posts extraídos de la fanpage del periódico y de entrevista con la responsable de la parte digital del vehículo. La investigación tiene por objetivo analizar las características de los contenidos distribuidos por la red social, especialmente observando el espacio destinado a temas electorales. El análisis trabaja con las siguientes características: temas, tema electoral, alcance y la relación com os lectores. Como resultado principal se resalta que el Estado de Maranhão concedió espacio considerable para el tema político-electoral.   PALABRAS CLAVE: periodismo, redes sociales, elecciones.  

scholarly journals Cloud computing activities: Guidelines on the South African income tax classification

2017 ◽  
Vol 9 (1) ◽  
pp. 228-243
Author(s):  
Shené Steenkamp ◽  
Rudie Nel
Keyword(s):  
Cloud Computing ◽  
South African ◽  
Income Tax ◽  
Computer Hardware ◽  
Correct Classification ◽  
The South ◽  
Know How ◽  
Cloud Computing Service ◽  
Source Test

The classification of income from cloud computing activities, according to the substance-over-form doctrine, is fundamental to the application of the correct taxation source test. The designation of IaaS, PaaS and SaaS, the three main cloud computing service models, clearly denotes the form of cloud computing activities as that of a service. However, the nature of cloud computing inherently raises the question of whether or not cloud computing income should not rather be classified as income from leasing activities or the imparting of know-how. In fact, the findings of this study suggest the classification would not necessarily always be that of a service. The possible classification as lease income can be either income from the lease of tangible computer hardware and/or of intellectual property (royalty income). The aim of this study was to formulate guidelines to assist in the correct classification of income from cloud computing activities. This was achieved by performing doctrinal research based on the South African and international literature.

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