The Application of Social Networks in Assisting out-of-class Interactions: A case Study of the Faculty of Economics  and Business Administration, Dalat University

The purpose of this study is to evaluate the application of social networks in assisting out-of-class interactions in the context of Vietnam. A group of lecturers and students from the Faculty of Economics and Business Administration, Dalat University was chosen to participate in a pilot scheme, using a social network called Edmodo to assist the out-of-class interactions between lecturers and students in the courses in charge in one academic year. The results show that the social network improves the efficiency of out-of-class interactions among participants and receive positive feedbacks from both students and lecturers. The results also indicate that the use of social networks in education is feasible and will improve the teaching and learning efficiency. However, the results also suggest that lecturers should carefully plan academic activities and provide students with proper incentives to motivate their participation into the class online interactive activities.

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Engagement In a Virtual Learning on Two Social Networks Of An Engineering course using the Social Network Analysis- An approach using a case study

2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) ◽

10.1109/ccece47787.2020.9255723 ◽

2020 ◽

Author(s):

Samuel Eneje ◽

Shereefdeen Oladapo Sanni ◽

Claudio Fagundes Pereira

Keyword(s):

Social Networks ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Virtual Learning ◽

The Social

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Tell me who you are and I will tell you which SNS you use: SNSs participation

Online Information Review ◽

10.1108/oir-03-2019-0076 ◽

2019 ◽

Vol 44 (1) ◽

pp. 139-161 ◽

Cited By ~ 5

Author(s):

Tali Gazit ◽

Noa Aharony ◽

Yair Amichai-Hamburger

Keyword(s):

Social Networks ◽

Social Network ◽

Locus Of Control ◽

Social Networking Sites ◽

Demographic Variables ◽

Content Type ◽

Internal Locus Of Control ◽

Demographic Questionnaire ◽

The Social ◽

Academic Year

Purpose Social networking sites (SNSs) have become an essential part of our lives. The purpose of this paper is to explore how demographic variables, SNS importance, social and informational usage, and personality traits (extroversion/introversion, openness, neuroticism, internal and external locus of control) can explain participation frequency of the four biggest SNSs in Israel: Facebook, WhatsApp, Instagram and Twitter. Design/methodology/approach The research was conducted in Israel during the Fall semester of the 2017–2018 academic year and encompassed 244 students. Researchers used six questionnaires to gather data: a demographic questionnaire, a participation frequency questionnaire on four different SNSs, four SNSs importance questionnaire, social and informational usage on four different SNSs questionnaire, personality questionnaire (extroversion, openness and neuroticism) and the locus of control questionnaire. Findings The findings revealed that different social network sites play distinct roles for various individuals. WhatsApp, the most frequently used platform, is used more by women and people with internal locus of control. Facebook is more frequently used by open people and Instagram is more frequently used by women, younger adults and neurotic people. Twitter is more frequently used by men. In addition, for all SNSs, the higher the social and informational usage is, the more important the SNSs are to the users, which significantly explains participation frequency. Originality/value The differences between social networks can be evidence that each social network serves a different group and does not compete with other SNSs. This may well explain why many people make use of several social networks and have a tendency to move from one to another.

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The use of social networks in marketing: the Italian co-operative experience

Journal of Historical Research in Marketing ◽

10.1108/jhrm-10-2013-0060 ◽

2015 ◽

Vol 7 (1) ◽

pp. 31-57 ◽

Cited By ~ 3

Author(s):

Patrizia Battilani ◽

Giuliana Bertagnoni

Keyword(s):

Social Networks ◽

Social Network ◽

Marketing Strategy ◽

Local Community ◽

National Level ◽

Viral Marketing ◽

Original Research ◽

Content Type ◽

The Social

Purpose – The main aim of our study is to demonstrate that the Italian way to marketing included not only the “advertising artists” but also what can be labelled as the social network approach, which was mainly used by cooperative enterprises. Focussing on the case study of the Granarolo co-operative, the paper discusses the social network method of marketing as it emerged during the 1950s and 1960s in Italy. Design/methodology/approach – The research draws on different types of primary sources, including co-operative business records, interviews, publications, newspaper articles and advertisements. Findings – In the age of mass consumption, the Granarolo co-operative developed an original marketing strategy based on social networks. This strategy can be considered a kind of community brand based on shared values pre-existing to the brand itself and a kind of viral marketing put in place before the electronic revolution. Research limitations/implications – The research focusses on the Granarolo case study. It can be extended to other co-operative enterprises. However, it is unknown whether the anticipation of viral marketing has also been used by private enterprises. Practical implications – The marketing strategies analyzed in the paper could be a interesting solution for undertakings strictly connected and rooted in their local community or in their Web community. Social implications – In today’s world of the Web, this physical constraint no longer exists, and the social method of marketing exceeds the regional and even the national level. In conclusion, this was an innovative method of marketing and advertising that came into being, ahead of its time, about a half a century before modern Web-based social networks were conceived, yet uses the same concepts, hence its extraordinary originality. Originality/value – This study is the result of an original research which tries to highlight what we could label the Italian way to marketing. Taking into consideration the first two decades of the Granarolo history and focussing on the marketing strategy, our contribution seeks to examine how the social networks approach worked and in what it differs from today brand community and viral marketing.

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A Methodology for Evaluating Algorithms That Calculate Social Influence in Complex Social Networks

Complexity ◽

10.1155/2018/1084795 ◽

2018 ◽

Vol 2018 ◽

pp. 1-20

Author(s):

Vanja Smailovic ◽

Vedran Podobnik ◽

Ignac Lovrek

Keyword(s):

Machine Learning ◽

Social Networks ◽

Social Network ◽

Social Influence ◽

Online Social Networks ◽

Ground Truth ◽

Descriptive Statistics ◽

The Social ◽

Alternative Approaches

Online social networks are complex systems often involving millions or even billions of users. Understanding the dynamics of a social network requires analysing characteristics of the network (in its entirety) and the users (as individuals). This paper focuses on calculating user’s social influence, which depends on (i) the user’s positioning in the social network and (ii) interactions between the user and all other users in the social network. Given that data on all users in the social network is required to calculate social influence, something not applicable for today’s social networks, alternative approaches relying on a limited set of data on users are necessary. However, these approaches introduce uncertainty in calculating (i.e., predicting) the value of social influence. Hence, a methodology is proposed for evaluating algorithms that calculate social influence in complex social networks; this is done by identifying the most accurate and precise algorithm. The proposed methodology extends the traditional ground truth approach, often used in descriptive statistics and machine learning. Use of the proposed methodology is demonstrated using a case study incorporating four algorithms for calculating a user’s social influence.

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Emotive Trending And Tracking of Tweets

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i11.463 ◽

2017 ◽

Vol 7 (11) ◽

pp. 25

Author(s):

Sanjay Chhataru Gupta

Keyword(s):

Social Networks ◽

Social Media ◽

Social Network ◽

The Social ◽

The World ◽

Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

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The Oxford Handbook of Social Networks

10.1093/oxfordhb/9780190251765.001.0001 ◽

2020 ◽

Keyword(s):

Social Networks ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Social Life ◽

Information Science ◽

Computational Social Science ◽

The Social ◽

Diverse Field ◽

The Rich

Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

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Comparing the social networks of service users with long term mental health needs living in community with those in a general adult in-patient unit

International Journal of Social Psychiatry ◽

10.1177/00207640211017590 ◽

2021 ◽

pp. 002076402110175

Author(s):

Roberto Rusca ◽

Ike-Foster Onwuchekwa ◽

Catherine Kinane ◽

Douglas MacInnes

Keyword(s):

Mental Health ◽

Social Networks ◽

Social Network ◽

Patient Group ◽

Mental Health Problems ◽

Well Being ◽

Health Problems ◽

Practical Support ◽

The Social

Background: Relationships are vital to recovery however, there is uncertainty whether users have different types of social networks in different mental health settings and how these networks may impact on users’ wellbeing. Aims: To compare the social networks of people with long-term mental illness in the community with those of people in a general adult in-patient unit. Method: A sample of general adult in-patients with enduring mental health problems, aged between 18 and 65, was compared with a similar sample attending a general adult psychiatric clinic. A cross-sectional survey collected demographic data and information about participants’ social networks. Participants also completed the Short Warwick Edinburgh Mental Well-Being Scale to examine well-being and the Significant Others Scale to explore their social network support. Results: The study recruited 53 participants (25 living in the community and 28 current in-patients) with 339 named as important members of their social networks. Both groups recorded low numbers in their social networks though the community sample had a significantly greater number of social contacts (7.4 vs. 5.4), more monthly contacts with members of their network and significantly higher levels of social media use. The in-patient group reported greater levels of emotional and practical support from their network. Conclusions: People with serious and enduring mental health problems living in the community had a significantly greater number of people in their social network than those who were in-patients while the in-patient group reported greater levels of emotional and practical support from their network. Recommendations for future work have been made.

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The switching mechanisms of social network densification

Scientific Reports ◽

10.1038/s41598-021-82432-9 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Teruyoshi Kobayashi ◽

Mathieu Génois

Keyword(s):

Social Networks ◽

Social Network ◽

Social Context ◽

Social Interactions ◽

Regime Switching ◽

Face To Face ◽

The Social ◽

Switching Property ◽

Distinctive Type ◽

Insight Into

AbstractDensification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.

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MapTap and Cornelia Slow Digital Art History and Formal Art Historical Social Network Research

Zeitschrift für Kunstgeschichte ◽

10.1515/zkg-2016-0025 ◽

2016 ◽

Vol 79 (3) ◽

pp. 315-330 ◽

Cited By ~ 6

Author(s):

Koenraad Brosens ◽

Klara Alen ◽

Astrid Slegten ◽

Fred Truyen

Keyword(s):

Social Networks ◽

Social Network ◽

Early Modern ◽

Data Model ◽

Art History ◽

Digital Art ◽

Unique Data ◽

Network Research ◽

Custom Made

Abstract The essay introduces MapTap, a research project that zooms in on the ever-changing social networks underpinning Flemish tapestry (1620 – 1720). MapTap develops the young and still slightly amorphous field of Formal Art Historical Social Network Research (FAHSNR) and is fueled by Cornelia, a custom-made database. Cornelia’s unique data model allows researchers to organize attribution and relational data from a wide array of sources in such a way that the complex multiplex and multimode networks emerging from the data can be transformed into partial unimode networks that enable proper FAHSNR. A case study revealing the key roles played by women in the tapestry landscape shows how this kind of slow digital art history can further our understanding of early modern creative communities and industries.

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