Online ISSN: 2515-8260

Keywords : social networks


Detection and Identification of Bogus Profiles in online Social Network using Machine Learning Methods

ANANT RAM; RAKESH KUMAR GALAV

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 395-400

Here current creation online social networks (OSNs) become more and more common and the social life of people has become more linked to these pages. They use OSNs to remain in finger with everyone else, distribute news, prepare dealings and still run their personal e-. Out of control of the OSN's evolution and the huge extent of their supporters 'individual developments, they have been attackers and impostors who take individual information, share fake news and disseminate vindictive exercises. Researchers in various fields began inspecting environmentally friendly techniques in order to perform abnormal activity and counterfeit money that is based on accounting and classification algorithms [1]. However, the use of stand-alone classification algorithms no longer yields a straightforward outcome, some of the factors that are manipulated by the account have a low influence or have no impact in the closing results. The paper proposes to use the SVM-NN as a modern algorithm to effectively identify suspected Twitter accounts and bots, to add four choices and to restrict measurements. Three laptop classification mastering algorithms were used to determine the actual or false identity of target accounts. They included the SVM, the Neural Network and our recently urbanized SVM-NN method that utilizes far less hardware but is still able to correctly identify about 98% of the money due to the training data set.

SOCIO-PSYCHOLOGICAL FACTORS INFLUENCING THE DEVELOPMENT OF SCIENTIFIC AND INNOVATIVE THINKING OF YOUNG PEOPLEAFTER THE GLOBAL CRISIS COVID 19

Farfieva Komola; Islamova Dildora

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 2880-2895

In this article it was discussed the role of socio-psychological factors
influencing the scientific and creative thinking and behavior of young people.
The authors discussed the psychological characteristics of modern media
coverage and the role of social media in influencing the maturity, thinking,
and behavior of young people. They focused on the benefits of messages in
the information space among young people and the formation of a culture of
using different messages on social networks.

ATTITUDE TOWARDS SOCIAL NETWORKS AMONG DIFFERENT AGE GROUPS - A QUESTIONNAIRE SURVEY

Moulishree .; Vishnu Priya; K. R. Don; R. Gayathri

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 1, Pages 2155-2172

Social networks are seen as a group of internet based technology. It provides a platform to share contents, interest and develop new skills and personalities in the virtual world . The definition for this depends from person to person. There are no boundaries to the use of social networks. The aim of the study is to determine the attitude towards social networks among different age groups. A well structured questionnaire enclosed with closed ended questions was prepared which was surveyed among 100 active participants . The data collected is analysed in SPSS software version 22 by descriptive analysis. The questionnaire is administered to the participants to online google forms link.There exists a positive attitude towards social networks among all age groups. Awareness on advantages and disadvantages of the social networks should be inculcated in the minds of the younger generation.