• International Journal of Computer Science & Network Security
• /
• v.21 no.5
• /
• pp.133-138
• /
• 2021

The concept of inclusive development provides equal opportunities for all participants in access to the labor market and resource allocation. This concept emphasizes the equality of human capital, the ecological state of the environment, social protection and food security. This concept is fundamentally different from the standard perception of economic growth, because it has broader goals than simply increasing incomes and GDP. It rejects the position that positive results are an automatic consequence of growth; here the basic condition is human development and increase of its well-being, reduction of poverty. Therefore, it is not the result of distribution that becomes primary, but the involvement in the process of social reproduction. An alternative system of characterization of the country's position according to the resulting indicator of the Inclusive Development Index was presented at the World Economic Forum in Davos. In this research the methodical development of the system of estimation of the index of inclusive development for regions of the NUTS 4 level of the European classification is resulted.

• International Journal of Computer Science & Network Security
• /
• v.22 no.11
• /
• pp.255-259
• /
• 2022

The new social reality emerging amid the global rise of communication links and integration processes acutely emphasizes the problems of communication in large and small social systems. The method of their communication becomes one of the keys to ensuring global security. It has become the mission of humanitarian education to prepare the younger generations for life in a changing world with no image of the future and increasing uncertainty. In psychological and pedagogical research, there is a growing scientific interest in the problems of interaction of the individual with the social environment. The mental trace of a person's practice in society shapes the experience of social interaction, which constitutes simultaneously the source, tool, and condition for the emergence and development of personality. The study outlines the methodological foundations for the study of individual experiences of social interaction. A hypothesis about the productivity of the functional matrix method is tested. Materials for the training of specialists in the humanities include interdisciplinary approaches to the study and transformation of the experience of social interaction and systematic methodology for the study of complex objects. Fundamental to the study is the systematic-dialectical method, and the matrix method is employed as the instrumental-technological method. The paper presents the results of a multidisciplinary overview of scientific literature concerning the essential characteristics and functions of social interaction and the respective experience. The overview points to the fragmented nature of scientific understanding of the elements of experience outside its integrity and systemic properties. Based on the formula "personality interacts with the social environment", the study presents an algorithm for the application of a systematic methodology for the study of complex objects, which made it possible to identify the system parameters of experience at three levels of cognition and develop the reference structural and functional matrices for the didactic system of its pedagogical enrichment.

• International Journal of Computer Science & Network Security
• /
• v.22 no.3
• /
• pp.396-404
• /
• 2022

Online social networks contain a large amount of data that can be converted into valuable and insightful information. Text mining approaches allow exploring large-scale data efficiently. Therefore, this study reviews the recent literature on text mining in online social networks in a way that produces valid and valuable knowledge for further research. The review identifies text mining techniques used in social networking, the data used, tools, and the challenges. Research questions were formulated, then search strategy and selection criteria were defined, followed by the analysis of each paper to extract the data relevant to the research questions. The result shows that the most social media platforms used as a source of the data are Twitter and Facebook. The most common text mining technique were sentiment analysis and topic modeling. Classification and clustering were the most common approaches applied by the studies. The challenges include the need for processing with huge volumes of data, the noise, and the dynamic of the data. The study explores the recent development in text mining approaches in social networking by providing state and general view of work done in this research area.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.23 no.6
• /
• pp.1025-1035
• /
• 2013

There has been an explosive increase in the population of OSN(online social network) for 10 years. OSN provides users with many opportunities to have communication among friends, families and goes so far as to make relationships among unknown people having similar belief or interest. However, OSN also produced adverse effects such as privacy breaches, leaking uncontrolled information or disseminating false information. Access control models such as MAC, DAC, RBAC are applied to the OSN to control those problems but those models in OSN are not fit in dynamic OSN environment because user's acts in OSN are unpredictable and static access control imposes burden on users to change access control rules one by one. This paper proposes the dynamic trust-based access control to solve the problems of traditional static access control in OSN.

• International Journal of Computer Science & Network Security
• /
• v.21 no.12
• /
• pp.219-222
• /
• 2021

The study shed the light on the information required by Governance Principles and Corporate Social Responsibilities of human resources department from the point deans' perspectives of BA colleges during the discussion the publication of studies that academic members earlier submitted in many journals as authors of similar studies talking about business schools and CSR in Saudi Arabia universities. The study sample was the deans of business schools in northern border university and interviews were used to collect data. Findings showed that CSR in business colleges within an integrated set of research products in the human resource that he owns, support the mechanisms of social services from a purposeful pioneering and creative perspective. In addition, the success of business administration colleges in preparing these cadres depends on the college's senior leadership represented by its dean and its administrative policy to motivate academic staff and students to develop the CSR and governance.

• International Journal of Computer Science & Network Security
• /
• v.21 no.12spc
• /
• pp.684-688
• /
• 2021

The article highlights the features of professional activity teacher on the basis of tolerance, the content and types of this phenomenon are stated, the value bases of education of tolerance in students are substantiated, psychological, culturological and communicative aspects of pedagogical tolerance of the teacher are considered. Methodical recommendations on self-training of the teacher, tolerant interaction with subjects of educational process are included.

• International Journal of Computer Science & Network Security
• /
• v.21 no.3
• /
• pp.185-190
• /
• 2021

The article provides a literary and analytical review in the following areas of search: problems and prerequisites for changes in the field of education, innovations and innovative models in education, the use of new technologies in teaching. A proposal for a business plan and accompanying documentation for a new methodology based on blockchain technologies were developed, to assess the economic efficiency of the project. The main systems of the new model were modeled on the basis of the proposed methodology, to develop a prototype based on the project documentation.

• International Journal of Computer Science & Network Security
• /
• v.22 no.2
• /
• pp.9-14
• /
• 2022

The main purpose of the study is to determine the main features of the socio-economic development of the countries of the world under the influence of the digital economy and COVID-19. The modern world has already taken the first step towards a fundamentally new technological, economic and social reality. However, the challenges facing the modern industrial society cannot be overestimated. We are talking about changing the global socio-technological order, the consequence of which is a complete reformatting of the systems familiar to us, the formation of new social and economic strategies. the technological paradigm is immediately changing, management models and social norms are changing, large-scale demographic shifts are taking place. As a result of the study, key aspects of socio-economic development in the digital economy were identified.

• International Journal of Computer Science & Network Security
• /
• v.24 no.7
• /
• pp.186-194
• /
• 2024

This study aims to investigate the technological-organizational-environmental (TOE) factor of influencing small and medium-sized enterprises (SMEs') social media (SM) adoption in developing countries. This study used a closed-ended questionnaire to collect data from randomly selected respondents (owners, executives, and managers) from SMEs operating in Pakistan. SMART PLS version 3.2.8 was used for path analysis of 423 responses. The research findings include the direct influence of TOE factors on SMEs SM adoption and SMEs performance. Furthers, this paper also has implications for practitioners and scholars interested in exploring the SM adoption and usage in SMEs.

• International Journal of Computer Science & Network Security
• /
• v.21 no.8
• /
• pp.238-246
• /
• 2021

The rapid rise of the Internet and social media has resulted in a large number of text-based reviews being placed on sites such as social media. In the age of social media, utilizing machine learning technologies to analyze the emotional context of comments aids in the understanding of QoS for any product or service. The classification and analysis of user reviews aids in the improvement of QoS. (Quality of Services). Machine Learning algorithms have evolved into a powerful tool for analyzing user sentiment. Unlike traditional categorization models, which are based on a set of rules. In sentiment categorization, Bidirectional Long Short-Term Memory (BiLSTM) has shown significant results, and Convolution Neural Network (CNN) has shown promising results. Using convolutions and pooling layers, CNN can successfully extract local information. BiLSTM uses dual LSTM orientations to increase the amount of background knowledge available to deep learning models. The suggested hybrid model combines the benefits of these two deep learning-based algorithms. The data source for analysis and classification was user reviews of Indian Railway Services on Twitter. The suggested hybrid model uses the Keras Embedding technique as an input source. The suggested model takes in data and generates lower-dimensional characteristics that result in a categorization result. The suggested hybrid model's performance was compared using Keras and Word2Vec, and the proposed model showed a significant improvement in response with an accuracy of 95.19 percent.