scholarly journals Predicting Facebook Group Relationship

2019 ◽  
Vol 8 (11) ◽  
pp. 1862-1869 ◽  
Keyword(s):  
Social Network ◽  
Social Networking Site ◽  
Weighted Averaging ◽  
Social Actors ◽  
The Social ◽  
Sample Data ◽  
Ordered Weighted Averaging Operator ◽  
Relationship Of ◽  
Hierarchy Process ◽  
Closely Linked Group

Facebook has become the leading social networking site in most countries worldwide. It provides a diverse platform that caters to social, educational and entertainment needs of a user. So, this paper has focused on the Sociocentric Analysis of Facebook. It predicts group relationship of the Facebook social network. The paper proposes to aggregate user’s relationships with similar interests and perspectives on the basis of the way in which they provide a reaction to a post on Facebook. The paper has selected the widely used reactions on Facebook posts. The selected reactions on posts are Like, Laugh, Sad, and Wow. In this, a fuzzy pairwise relation between two users in the social network is obtained. For every pair of social actors or users, we have extracted the total number of Facebook posts to which they have reacted in a particular way over a fortnight. The number for each reaction is multiplied with the corresponding weight of the reaction computed by Analytics Hierarchy Process. This fuzzy pairwise relationship is further employed for finding the closely linked group between users by using Ordered Weighted Averaging operator. The devised algorithm has been applied to a sample data of students connected via Facebook social network. The paper has also given several application areas for the proposed work.

scholarly journals Correlation between Triadic Closure and Homophily Formed over Location-Based Social Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Nauman Ali Khan ◽  
Wuyang Zhou ◽  
Mudassar Ali Khan ◽  
Ahmad Almogren ◽  
Ikram Ud Din
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Research Direction ◽  
Social Actors ◽  
The Social ◽  
Depth Analysis ◽  
Location Based Social Network ◽  
Triadic Closure ◽  
Location Based Social Networks ◽  
The Given

Social Internet of Things (SIoT) is a variation of social networks that adopt the property of peer-to-peer networks, in which connections between the things and social actors are automatically established. SIoT is a part of various organizations that inherit the social interaction, and these organizations include industries, institutions, and other establishments. Triadic closure and homophily are the most commonly used measures to investigate social networks’ formation and nature, where both measures are used exclusively or with statistical models. The triadic closure patterns are mapped for actors’ communication behavior over a location-based social network, affecting the homophily. In this study, we investigate triads emergence in homophilic social networks. This evaluation is based on the empirical review of triads within social networks (SNs) formed on Big Data. We utilized a large location-based dataset for an in-depth analysis, the Chinese telecommunication-based anonymized call detail records (CDRs). Two other openly available datasets, Brightkite and Gowalla, were also studied. We identified and proposed three social triad classes in a homophilic network to feature the correlation between social triads and homophily. The study opened a promising research direction that relates the variation of homophily based on closure triads nature. The homophilic triads are further categorized into transitive and intransitive groups. As our concluding research objective, we examined the relative triadic throughput within a location-based social network for the given datasets. The research study attains significant results highlighting the positive connection between homophily and a specific social triad class.

scholarly journals Social Ties and Network Structure

Management ◽  
2019 ◽  
Author(s):  
Sana Ansari ◽  
Dalhia Mani
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Relations ◽  
Network Structure ◽  
Social Ties ◽  
Theory And Practice ◽  
Collaboration Network ◽  
Management Journal ◽  
Social Actors ◽  
The Social

The field of social networks focuses on the relationships among social actors, and on patterns that emerge from the structure of the social network and its implications (Wasserman and Faust’s Social Network Analysis: Methods and Applications). Social network research argues that actors (e.g., individuals or firms) are embedded within a network of relations, and that their behavior and choices cannot be studied independent of the social relations that shape and structure behavior. Social network perspective views relations among the social actors as ties and regular patterns in relationship as structure. Ties are the relational linkages that allow flow of resources between the actors, both tangible and intangible. Multiple actors form a web of relational ties, which can be either economic, social, or political. Networks can be of different types based on the content of the relational tie between the actors. For instance, collaboration ties between actors make a collaboration network or a co-author relation between actors makes a co-authorship network. Networks can also be at different levels of analysis—for instance, an intraorganizational friendship network is at the level of individuals while a network of intercountry trade relations is at the level of country. Ties between actors can be of different strengths (for instance, friends who meet daily versus once a year) and can also be negative or positive ties (e.g., competition networks versus collaboration networks). This article summarizes the latest research on social ties and network structure by focusing on the main thematic discussions in the field: (1) networks and strategic, governance behavior; (2) workplace networks; (3) collaboration and knowledge networks; (4) networks, personality, and individual differences; (5) entrepreneurial and family business networks; and (6) networks and social media. To ensure a comprehensive review of the topic, the article used search keywords, “networks,” or “network structure,” or “social networks,” or “social ties,” and was limited to articles in the top fourteen management journals, namely: Academy of Management Journal, Strategic Management Journal, Organization Science, Management Science, American Journal of Sociology, American Sociological Review, Administrative Science Quarterly, Academy of Management Review, Journal of Management Studies, Journal of Business Venturing, and Entrepreneurship Theory and Practice. The search was further limited to the six-year period from 2014–2019, since previous articles on organizational networks and brokerage in Oxford Bibliographies have summarized the research in this domain prior to 2014.

scholarly journals IS THERE ANY IMPACT OF SOCIAL MEDIA ON ACADEMIC PERFORMANCE? (An Empirical Study From College Student In Jakarta)

2017 ◽  
Vol 2 (2) ◽  
pp. 101
Author(s):  
Bagus Nurcahyo
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Academic Performance ◽  
Social Network ◽  
College Student ◽  
Network Activity ◽  
The Social ◽  
Sample Data ◽  
Regression Techniques ◽  
Network Usage

This study aimed to examine empirically the social network activities that affect academic performance. Obtain sample data using questionnaires and obtain data from top 10 universities in Webometrics and total 75 respondents. This study examined the utilization period of social networks, social network usage motivation, academic data and activities respondents perceived influence on academic performance. Using multiple regression techniques, the study found that social network activity does not negatively impact on academic performance.   Keywords: social network, Facebook, Twitter, Academic Performance, GPA

Impact of empathy, perceived social impact, social worth and social network on the social entrepreneurial intention in socio-economic projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sumaiya Usman ◽  
Fazeelat Masood ◽  
Mubashir Ali Khan ◽  
Naveed ur Rehman Khan
Keyword(s):  
Social Network ◽  
Social Impact ◽  
Partial Least Square ◽  
Entrepreneurial Intentions ◽  
Equation Modeling ◽  
Content Type ◽  
The Social ◽  
Social Worth ◽  
Relationship Of ◽  
The Relationship

Purpose This paper aims to address essential questions regarding social entrepreneurial intentions. Do traits such as perceived social impact, social worth and social network influence, social entrepreneurial intentions among the young populous generation of Pakistan? To get a deeper insight, this paper further raises questions regarding the relationship of these predictors and social entrepreneurial intentions with empathy which is considered as a key determinant and a distinguishing trait to become a social entrepreneur. Design/methodology/approach This paper involves a quantitative research design using a partial least square structural equation modeling approach to measure the effects of the structural model. For this, a cross-sectional survey was conducted with a purposive sample of 247 university students from Pakistan. Findings Results showed a positive relationship between antecedents and social entrepreneurial intentions. Overall analysis exhibited social worth as a dominant trait and social network as the least influencing trait to impact social entrepreneurial intentions. Practical implications It will help micro and macro-level policymakers including government officials and NGOs and educators to create awareness and provide support and encouragement to individuals who aim to initiate social enterprise. Originality/value The present study makes significant contributions to the social entrepreneurship literature, as it is one of the first academic studies on social entrepreneurial intentions in Pakistan. This paper enriches the theoretical foundation by assessing the influence of perceived social impact, social worth and social network on social entrepreneurial intentions. Also, the relationship of Empathy with each of these antecedents is examined for the first time in the social entrepreneurial intentions context which is a valuable contribution both theoretically and practically.

Information Security Problem and Solution Approaches in Social Applications

2019 ◽  
pp. 207-220 ◽  
Author(s):  
Mamata Rath
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Interactive Media ◽  
Social Networking Site ◽  
Individual Member ◽  
The Social ◽  
Security Problem ◽  
The Individual ◽  
Social Applications

A social network is a portrayal of the social structure between actors, mostly individuals or organizations. It indicates the ways in which they are connected through various social familiarities ranging from casual acquaintance to close familiar bonds. This chapter exhibits an exhaustive review of various security and protection issues in social networks that directly or indirectly affect the individual member of the network. Furthermore, different threats in social networks have been focused on that appear because of the sharing of interactive media content inside a social networking site. Additionally, the chapter also reports current cutting-edge guard arrangements that can shield social network clients from these dangers.

scholarly journals An Empirical Study of Factors Influencing the Intention to Use SNS App─The Case of Facebook

2017 ◽  
Vol 3 (3) ◽  
pp. 71
Author(s):  
Yi-Wen Fan ◽  
Juo-Tzu Tseng ◽  
Yu-Hsien Fang ◽  
Zheng-Yen Li ◽  
Yea-Huey Su
Keyword(s):  
Social Network ◽  
Social Influence ◽  
Social Networking ◽  
Perceived Value ◽  
Mobile Internet ◽  
Point Of View ◽  
Social Networking Site ◽  
Factors Influencing ◽  
The Social

Mobile Internet is coming. The social networking site application (SNS app) has become an important portal for users accessing social networking services. Based on the point of view of existing social network users, this study integrates the technology value-based adoption model and social influence to propose a framework to investigate factors influencing the use intention of the SNS app. A sample of 223 subjects surveyed from Facebook, it was found that user’s perceived value regarding the SNS app positively affects the use intention of the social networking app. Usefulness and Technicality provided by SNS app positively affects perceived value of the app. In addition, user perceived social influence also positively affects the use intention of the social networking app. Results not only advance knowledge related to social network research, as well as provide practical advice to social networking companies. They also suggest how to attract users to continually participate in social networks. Increase activeness and stickiness is critical for social network companies to facilitate long-term development.

scholarly journals PSYCHOLOGICAL FEATURES OF THE RELATIONSHIP TO CHILDREN USERS OF THE SOCIAL NETWORK TWITTER

2020 ◽  
pp. 33-72
Author(s):  
А.Л. Журавлев ◽  
Д.А. Китова
Keyword(s):  
Social Network ◽  
Living Conditions ◽  
Automated System ◽  
The Social ◽  
The Family ◽  
Psychological Significance ◽  
Background Material ◽  
Psychological Features ◽  
Relationship Of ◽  
The Relationship

По статистическим данным смертность в России вновь превысила рождаемость. В качестве причин такой ситуации чаще всего называют экономические факторы, но мировой опыт показывает, что проблема низкого уровня рождаемости не всегда обусловлена трудностями экономического содержания. Предполагается, что социально-демографическая ситуация может быть обусловлена психологическими факторами, которые будут проявлять себя в характере (особенностях) отношения к детям. Целью исследования выступает выявление структурных и содержательных составляющих отношения пользователей социальных сетей к детям. Объектом исследования являются пользователи социальной сети Twitter на территории России, а также сообщения (твиты) пользователей, в контексте которых присутствует слово «дети». В исследовании использована авторская (М.А. Китов) автоматизированная система анализа текстов и эмоционального фона сообщений. Основные выводы исследования сводятся к следующим позициям. Ребенок воспринимается пользователями социальной сети как высшая экзистенциональная ценность, на удовлетворение нужд которого должны быть направлены значительные ресурсы семьи и общества. Ведущими смыслами отношения к детям выступают духовные смыслы. На втором плане актуализируются материальные проблемы, которые воспринимаются пользователями сети как важные условия социализации ребенка и облегчения условий жизни семьи. При этом финансовая и социальная помощь государства, направленная на поддержание условий жизни ребенка в семье, воспринимается пользователями как недостаточная. Наиболее яркой среди проблем, обсуждаемых пользователями социальной сети Twitter, выступает проблема поведения ребенка, которая, как по количественным, так и по качественным характеристикам, превосходит все остальные обсуждаемые в сети ситуации. При этом основной фон оценок поведения ребенка носит негативный оттенок и связан с его поведением. Результаты исследования свидетельствуют о социальной и психологической значимости представленной проблемы, которая должна привлечь внимание психологов, социологов и социальных работников. According to statistics, the death rate in Russia has again exceeded the birth rate. Economic factors are often cited as the reasons for this situation, but world experience shows that the problem of low birth rates is not always caused by difficulties in economic maintenance. It is assumed that the socio-demographic situation may be due to psychological factors that will manifest themselves in the nature (features) of the relationship to children. The purpose of the study is to identify the structural and content components of the relationship of social network users to children. The object of the study is users of the social network Twitter in Russia, as well as messages (tweets) of users in the context of which the word "children" is present. The author's (M.A. Kitov) automated system for analyzing texts and the emotional background of messages was used in the study. The main conclusions of the study are summarized in the following positions. The child is perceived by users of the social network as the highest existential value, to meet the needs of which significant resources of the family and society should be directed. The leading meanings of the relationship to children are spiritual meanings. In the background, material problems are updated, which are perceived by users of the network as important conditions for the socialization of the child and the simplification of the family's living conditions. At the same time, financial and social assistance from the state aimed at maintaining the child's living conditions in the family is perceived by users as insufficient. The most striking problem discussed by users of the social network Twitter is the problem of child behavior, which, both in quantitative and qualitative characteristics, exceeds all other situations discussed in the network. At the same time, the main background of assessments of the child's behavior is negative and is associated with his behavior. The results of the study indicate the social and psychological significance of the presented problem, which should attract the attention of psychologists, sociologists and social workers.

scholarly journals Privacy Factors of Social Network That Effect Users Trust And Confidentiality

2014 ◽  
Vol 8 (3) ◽  
pp. 1411-1413
Author(s):  
Nader Yahya Alkeinay ◽  
Norita Md Norwawi ◽  
Fauziah Abdul Wahid ◽  
Roesnita Ismail ◽  
Najwa Hayaati Mohd Alwi
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Social Network Sites ◽  
Social Actors ◽  
The Social ◽  
The World ◽  
Privacy Issues ◽  
Different Parts

Social network is term used to refer to the social structure that is made up of a set of social actors. The social actors in this case include organizations or individuals. Social networks allow people to interact and socialize as they get to learn and know each other. Through social networking sites, people from different parts of a country or the world also get to meet and interact. However, there have been issues with regards to social network privacy for those who use the internet to use social network sites. This paper will look at some of the factors that affect trust of the users as well as the privacy issues related to social networks (Fernandez, 2009).

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