scholarly journals DOES SOCIAL NETWORK QUALITY DIFFER BETWEEN FACEBOOK AND INSTAGRAM? APPLICATION OF SNSQUAL MODEL

2021 ◽  
Vol 30 (2) ◽  
pp. 493-508
Author(s):  
Suzana Marković ◽  
◽  
Sanja Raspor Janković ◽  
Matina Gjurašić
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Primary Data ◽  
Online Environment ◽  
Service Excellence ◽  
The Social ◽  
Study Results ◽  
Bivariate Statistical Analysis ◽  
Network Quality ◽  
Using Data

Although numerous studies investigated service quality in online environment, the social network quality has been inadequately captured by previous empirical research. Thus, the present study focuses on measuring social network quality. Specifically, it aims to examine potential differences in perceived social network quality between two popular social networks, namely Facebook and Instagram. The empirical data are based on gathering primary data using questionnaire based on SNSQUAL model, developed by Phillips et al. (2016). Descriptive and bivariate statistical analysis were conducted using data collected from undergraduate and graduate students who use social networks on regular bases. The study results show significant differences in 16 out of 27 social network quality items, revealing that Instagram’s social network quality was rated significantly higher than Facebook’s. These findings may contribute to the development of service excellence approach that aims to enhance social networks’ performance.

scholarly journals Social Networks among the Older Chinese Population in the USA: Findings from the PINE Study

Gerontology ◽  
2017 ◽  
Vol 63 (3) ◽  
pp. 238-252 ◽  
Author(s):  
XinQi Dong ◽  
E-Shien Chang
Keyword(s):  
Older Adults ◽  
Social Networks ◽  
Social Network ◽  
Social Life ◽  
Community Dwelling ◽  
Socioeconomic Characteristics ◽  
The Social ◽  
Study Results ◽  
The Usa ◽  
Older Chinese

Background: Social network research has become central to studies of health and aging. Its results may yield public health insights that are actionable and improve the quality of life of older adults. However, little is known about the social networks of older immigrant adults, whose social relationships often develop in the context of migration, compounded by cultural and linguistic barriers. Objectives: This report aims to describe the structure, composition, and emotional components of social networks in the Chinese aging population of the USA, and to explore ways in which their social networks may be critical to their health decision-making. Methods: Our data come from the PINE study, a population-based epidemiological study of community-dwelling older Chinese American adults, aged 60 years and above, in the greater Chicago area. We conducted individual interviews in participants' homes from 2011 until 2013. Based on sociodemographic and socioeconomic characteristics, this study computed descriptive statistics and trend tests for the social network measures adapted from the National Social Life, Health, and Aging Project study. Results: The findings show that older Chinese adults have a relatively small social network in comparison with their counterparts from other ethnic and racial backgrounds. Only 29.6% of the participants could name 5 close network members, and 2.2% could name 0 members. Their network composition was more heavily kin oriented (95.0%). Relationships with network members differed according to the older adults' sociodemographic and socioeconomic characteristics. Subgroup variations included the likelihood of discussing health-related issues with network members. Conclusion: This study highlights the dynamic nature of social networks in later-life Chinese immigrants. For healthcare practitioners, developing cost-effective strategies that can mobilize social network support remains a critical undertaking in health intervention. Longitudinal studies are needed to examine the causal impact of social networks on various domains of health.

Work relationships: counteracting the negative effects of conflict

2016 ◽  
Vol 27 (2) ◽  
pp. 225-248 ◽  
Author(s):  
Martijn Jungst ◽  
Boris Blumberg
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Job Engagement ◽  
Content Type ◽  
Moderated Mediation Model ◽  
The Social ◽  
Network Quality ◽  
And Performance ◽  
The Relationship

Purpose Guided by social resource theory, this study aims to examine the influence of conflict (i.e. task and relationship) on performance. The authors investigated whether job engagement mediates this relationship and whether social network quality moderates the relationship between conflict, job engagement and performance. Design/methodology/approach The authors built and tested a moderated mediation model, using data from 217 graduate students. Findings Results showed that job engagement operates as a mediating mechanism between task conflict and performance. The authors also found that the indirect effect of job engagement depended upon the quality of the social networks. When the quality of the social network was high, both the task and relationship conflict did not negatively influence the association between job engagement and performance. Research limitations/implications These findings provide new insights into how social embeddedness in the form of social network quality can create a social context in which conflict works out less detrimental. Practical implications Given that employees are interdependent and coworkers are likely to differ in their personal values and opinions, the authors conclude that managers should facilitate the development of meaningful relationships at work. Originality/value Whereas prior research has found conflict (i.e. task and relationship) to negatively associate with performance, the authors show that social networks do affect the strength of the relationship between conflict (i.e. task and relationship) and performance.

scholarly journals From the advertising campaign to the election campaign - online evolution

Sæculum ◽  
2019 ◽  
Vol 47 (1) ◽  
pp. 202-208
Author(s):  
Ioana-Adela Curta
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Election Campaign ◽  
Online Environment ◽  
Important Goal ◽  
Small Frequency ◽  
Advertising Campaign ◽  
The Social ◽  
Network Media ◽  
Commercial Advertising

AbstractThe present study looks at how to structure an election or commercial advertising campaign in the online environment, the strategy it must follow in promoting it, without neglecting: the large or small frequency of interventions on social networks, the type of message, the target audience and the effects sought. All these stages are found in both business and online policy. In the election campaign, the most important goal is how we can turn into voices the likes received on the social network media. During the commercial advertising campaigns, the main goal is to achieve profit by strengthening the image of the brand. The success or failure of a campaign depends, to an overwhelming extent, on the way in which the message and image of the company or the politician / party has been seen on the online environment.

scholarly journals Factors of Ukrainian Media Content Virality on Social Networks, under the Current Conditions

2016 ◽  
pp. 30-38
Author(s):  
Olviia Husak
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Comparison Method ◽  
Text Messages ◽  
Media Content ◽  
The Social ◽  
Study Results ◽  
Depth Study ◽  
Hybrid War ◽  
Special Circumstances

The main objective of the study was to explore the key factors of the virality of media content on social networks under the current conditions in Ukraine. To achieve the objective of the study, a combination of general and specific scientific methods, both theoretical and empirical, was applied. We used the methods of generalization and terminological analysis to clarify the definitions of the term “virality” and “virality content”. Analytic and synthetic method allowed to single out the virality factors of the content and to get an idea of the whole system of measures applied for the promotion of information on social networks. The methods of observation and measurement were used for collecting the actual source material for the theoretical study of the virality factors. The comparison method made it possible to define the features of the information popularization under special circumstances. The method of content analysis was used for in-depth study of the text messages on social networks in order to select the indicators, which allowed interpreting the study results into the specific recommendations. Results and Conclusions. We analyzed the concept of virality and generalized the reasons that affect the popularity of the information posted on social networks in Ukraine. The three main groups of virality factors were singled out, namely: the content (its subject and form); the audience; and the specific character of the social network. We analyzed the content of the three most popular Ukrainian media in Facebook (“Ukrayinska Pravda”, “Hromadske TV”, and “TSN”) to define the virality factors under the current Ukrainian conditions. Given the specificity of the algorithm for ranking posts in Facebook news line, we traced the reasons for the popularity of certain materials, which are caused by the situation in the country, the emotions induced by the publication, the type of the content, and the time of the users’ activity in the social network. The results of the study indicated that, given the political situation and hybrid war, there are few most popular content topics, namely: the politics, the war in eastern Ukraine and the basic life needs.

scholarly journals INVESTIGATION OF SPATIAL DATA WITH OPEN SOURCE SOCIAL NETWORK ANALYSIS AND GEOGRAPHIC INFORMATION SYSTEMS APPLICATIONS

2017 ◽  
Vol XLII-4/W6 ◽  
pp. 81-83
Author(s):  
L. Sabah ◽  
M. Şimşek
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Spatial Data ◽  
Geographical Area ◽  
Online Environment ◽  
The Social ◽  
Spatial Coordinates ◽  
The Individual

Social networks are the real social experience of individuals in the online environment. In this environment, people use symbolic gestures and mimics, sharing thoughts and content. Social network analysis is the visualization of complex and large quantities of data to ensure that the overall picture appears. It is the understanding, development, quantitative and qualitative analysis of the relations in the social networks of Graph theory. Social networks are expressed in the form of nodes and edges. Nodes are people/organizations, and edges are relationships between nodes. Relations are directional, non-directional, weighted, and weightless. The purpose of this study is to examine the effects of social networks on the evaluation of person data with spatial coordinates. For this, the cluster size and the effect on the geographical area of the circle where the placements of the individual are influenced by the frequently used placeholder feature in the social networks have been studied.

Emotive Trending And Tracking of Tweets

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.

The Oxford Handbook of Social Networks

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.

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

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.

scholarly journals The switching mechanisms of social network densification

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.

Social Networks, Their Basic Factors, as Well as Their Role in Society and the State in the Context of Digital Transformation

2020 ◽  
Vol 144 ◽  
pp. 26-35
Author(s):  
Rem V. Ryzhov ◽  
◽  
Vladimir A. Ryzhov ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Life Support ◽  
Social Institutions ◽  
The State ◽  
Main Task ◽  
Organizational Models ◽  
Control Center ◽  
The Social ◽  
Single Strategy

Society is historically associated with the state, which plays the role of an institution of power and government. The main task of the state is life support, survival, development of society and the sovereignty of the country. The main mechanism that the state uses to implement these functions is natural social networks. They permeate every cell of society, all elements of the country and its territory. However, they can have a control center, or act on the principle of self-organization (network centrism). The web is a universal natural technology with a category status in science. The work describes five basic factors of any social network, in particular the state, as well as what distinguishes the social network from other organizational models of society. Social networks of the state rely on communication, transport and other networks of the country, being a mechanism for the implementation of a single strategy and plan. However, the emergence of other strong network centers of competition for state power inevitably leads to problems — social conflicts and even catastrophes in society due to the destruction of existing social institutions. The paper identifies the main pitfalls using alternative social networks that destroy the foundations of the state and other social institutions, which leads to the loss of sovereignty, and even to the complete collapse of the country.

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