جستجوی مقالات مرتبط با کلیدواژه « social networks » در نشریات گروه « فنی و مهندسی »

Community structure is a common and important feature in many complex networks, including bipartite networks. In recent years, community detection has received attention in many fields and many methods have been proposed for this purpose, but the heavy consumption of time in some methods limits their use in large-scale networks. There are methods with lower time complexity, but they are mostly non-deterministic, which greatly reduces their applicability in the real world. The usual approach that is adopted to community detection in bipartite networks is to first construct a unipartite projection of the network and then communities detect in that projection using methods related to unipartite networks, but these projections inherently lose information. In this paper, based on the bipartite modularity measure that quantifies the strength of partitions in bipartite networks and using the HellRank centrality measure, a quick and deterministic method for community detection from bipartite networks directly and without need to projection, proposed. The proposed method is inspired by the voting process in election activities in the social society and simulates it.

Factors Influencing Unethical Behavior in Social Networks based on Theory of Planned BehaviorAbstract The expanding use of Social Networking Sites (SNS) and their flexible functionalities allow individuals to use these sites in ethical and unethical ways. The objective of this study is to identify the influential factors that have an impact on individuals’ ethical decision-making process based on Theory of Planned Behavior. For this purpose, four different scenario-based questionnaires were designed to enable the survey to investigate factors affecting individuals’ behavior in different situation. With 660 returned questionnaires in hand, the collected data were analyzed using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) technique. The results showed attitude to be the most influential factor, followed by perceived behavioral control and subjective. Finally, the role of different scenarios was studied and it is shown different effects on the relationships based on different scenarios.Keywords: Unethical Behaviors, Theory of Planned Behavior, Social Networks, Ethic in Information Technology

This research was carried out with the aim of designing and explaining the effectiveness of social media advertising in the domestic garment industry. This research is practical in terms of purpose. The statistical population was a group of experts consisting of academic professors and prominent consultants in the field of marketing based on social networks, as well as domestic garment industry activists. The main data collection tool was in-depth and semi-structured interviews. 12 experts were selected by purposeful sampling. After conducting 9 interviews, the researcher reached theoretical saturation and the process of conducting interviews was stopped. In order to design the model, the qualitative method of Foundation Data Theory was used with MAXQDA software. A total of 123 initial concepts were extracted, after examining and putting them together and removing duplicate concepts, 40 final concepts were identified. The result of this process was the formation of 13 categories that formed the basis of the research conceptual model. In the following, the dimensions of the paradigm model include the main and central category (internal desire to explore about advertising), causal conditions (general interest in using social networks, producing attractive content, observing ethical principles, using the power of the brand to gain the trust of users), context (society's tendency to opt out of social networks), environmental variables (information and communication technology infrastructures in the country), strategic categories (electronic word-of-mouth advertising, making it possible for users to exchange opinions under the advertisement, using reliable and specialized media) Introduction became.

Social networks have become one of the most important decision-making factors in organizations due to the speed of publishing events and the large amount of information. For this reason, they are one of the most important factors in the decision-making process of information validity. The accuracy, reliability and value of the information are clarified by these networks. For this purpose, it is possible to check the validity of information with the features of these networks at the three levels of user, content and event. Checking the user level is the most reliable level in this field, because a valid user usually publishes valid content. Despite the importance of this topic and the various researches conducted in this field, important components in the process of evaluating the validity of social network information have received less attention. Hence, this research identifies, collects and examines the related components with the narrative method that it does on 30 important and original articles in this field. Usually, the articles in this field are comparable from three dimensions to the description of credit analysis approaches, content topic detection, feature selection methods. Therefore, these dimensions have been investigated and divided. In the end, an initial framework was presented focusing on evaluating the credibility of users as information sources. This article is a suitable guide for calculating the amount of credit of users in the decision-making process.

The aim of this study was to investigate the status of students' moral literacy components in social networks. The research method was descriptive survey-cross-sectional. The statistical population of this study included all graduate students of Semnan Islamic Azad University in the number of 1500 people in the academic year 1399-1398 which were available by sampling method and using Krejcie-Morgan table 306 people were selected as a sample. The data collection tool was a researcher-made questionnaire. The face validity of the questionnaire was confirmed by subject matter experts and its reliability was confirmed by calculating Cronbach's alpha coefficient for research variables. To evaluate the status of moral literacy components of students in social networks, one-sample t-test was used using SPSS 26 software. The results showed that the status of the components of moral potential, the existence of moral sensitivities and the strengthening of students' reasoning skills in virtual networks are at a desirable level. (p <0/05(.The findings of this study confirm the acceptability of the theoretical issues presented in this field and for a better life in the information society and moving towards sustainable development, we need serious planning and policy-making in the field of moral literacy education in virtual networks.

During the very last decade, people have been spending lots of time working with social networks to interact with friends and to share information, thoughts, news, and etc. These social networks comprise a very important part of our daily lives. Along with the exploitation of the development of social networks, finding influential individuals in a social network has many practical functions in marketing, politics, and even control of the diseases. In the present research, a novel method called the dynamic generalized vulture algorithm has been proposed to solve influence maximization problems. Regarding the fact that in real world social networks own very dynamic and scalable nature, through our proposed algorithm, we have considered two important criteria which have been rarely taken into consideration in previous projects. The first criterion is due to the network structure change during time pass and the other refers to scalability. The suggested algorithm was measured considering standard data sets. The results showed that the proposed algorithm has been more scalable and has had higher precision in locating the most influential tops in such networks compared with other algorithms due to the reduction of search area and using several different mechanisms during navigation and optimization, balance creation and moving through these stages.

The development  of technology has made the Internet an integral part of human life. Social media users move a significant amount of their information daily in this way. The passive defense approach seeks to reduce natural and unnatural hazards for citizens by minimizing potential harm.  This study aims to assess the attitude of citizens towards security in cyberspace and seeks to answer the question of what are the effective components in creating risks for citizens in cyberspace. The research method is descriptive-analytical. The results of the questionnaires were evaluated using linear regression method and the value of R is equal to 0.807 which indicates a high correlation between variables. Cyber risk analysis was evaluated in 5 factors: socio-cultural, social security, economic security, privacy and passive defense. Also, the effects of awareness variables, population, third party approach and keeping safe were done with Amos software, which showed that the effect of knowledge on third person approach and keeping safe with coefficients of 0.21 and 0.26 is very high. The index of dissemination of appropriate behaviors of citizens in the socio-cultural factor, unauthorized eavesdropping in the factor of privacy, destruction of service systems in the factor of social security and the suitability of cyberspace for economic growth have had the greatest impact on the factor of economic security.Examining the factor of passive defense also shows the lack of complete confidence in the news published in cyberspace and the possibility of deceiving public opinion