Understanding Social Interaction across Social Network Sites

2020 ◽  
Vol 36 (19) ◽  
pp. 1818-1833
Author(s):  
Peng Zhang ◽  
Tun Lu ◽  
Baoxi Liu ◽  
Hansu Gu ◽  
Ning Gu
Keyword(s):  
Social Network ◽  
Social Interaction ◽  
Social Network Sites

Invisible Interactions

2011 ◽  
pp. 79-102 ◽  
Author(s):  
Miriam J. Metzger ◽  
Christo Wilson ◽  
Rebekah A. Pure ◽  
Ben Y. Zhao
Keyword(s):  
Social Network ◽  
Social Interaction ◽  
Social Network Sites ◽  
Deep Understanding ◽  
Electronic Surveillance ◽  
User Interactions ◽  
Traditional Research ◽  
Relational Behavior ◽  
Latent Interactions ◽  
A New Technique

A deep understanding of user social interaction in social network sites (SNSs) can provide important insights into questions of human social and relational behavior, as well as shape the design of new social platforms and applications. Recent studies have shown that a majority of user interactions on SNSs are latent interactions—passive actions such as profile browsing that cannot be observed directly by traditional research methods. This chapter presents a new technique to capture natural latent social interaction in Renren, the most popular SNS in China. As such, it offers a better understanding of both visible (e.g., comments and wall posts) and latent (e.g., passive profile browsing) user social interactions in SNSs than has been possible to date. We show that latent interactions are much more prevalent and frequent than visible interactions, are somewhat nonreciprocal in nature, and that visits by non-friends make up a significant portion of profile views. Our results augment earlier findings on such concepts as lurking and interpersonal electronic surveillance, and in some cases, shed new light on these phenomena.

scholarly journals PENGARUH CITRA MEREK DAN KEPERCAYAAN KONSUMEN TERHADAP MINAT PEMBELIAN SECARA ONLINE

2017 ◽  
Vol 4 (2) ◽  
pp. 132
Author(s):  
Zakky Zamrudi
Keyword(s):  
Social Network ◽  
Social Interaction ◽  
Brand Image ◽  
Social Network Sites ◽  
Technological Developments

Technological developments are very rapid nowadays and make it easier for people to communicate, which one of them is social network sites. The benefit of this platform is the ease to disseminate information both for commercial and communication purposes. This study aims to determine the interaction between users of instagram as one of the largest of social interaction provider nowadaysparticularly on the brand image and their trust in buying intention. The study involved 99 randomly selected people. The results of this study indicate that there are significant interactions between variables either directly or indirectly.

scholarly journals A Review on MAS-Based Sentiment and Stress Analysis User-Guiding and Risk-Prevention Systems in Social Network Analysis

2020 ◽  
Vol 10 (19) ◽  
pp. 6746
Author(s):  
Guillem Aguado ◽  
Vicente Julián ◽  
Ana García-Fornes ◽  
Agustín Espinosa
Keyword(s):  
Social Network ◽  
Social Interaction ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Network Sites ◽  
User Interaction ◽  
Risk Prevention ◽  
Multi Agent System ◽  
Multi Agent ◽  
User Recommendation

In the current world we live immersed in online applications, being one of the most present of them Social Network Sites (SNSs), and different issues arise from this interaction. Therefore, there is a need for research that addresses the potential issues born from the increasing user interaction when navigating. For this reason, in this survey we explore works in the line of prevention of risks that can arise from social interaction in online environments, focusing on works using Multi-Agent System (MAS) technologies. For being able to assess what techniques are available for prevention, works in the detection of sentiment polarity and stress levels of users in SNSs will be reviewed. We review with special attention works using MAS technologies for user recommendation and guiding. Through the analysis of previous approaches on detection of the user state and risk prevention in SNSs we elaborate potential future lines of work that might lead to future applications where users can navigate and interact between each other in a more safe way.

scholarly journals DIMENSIONALITY AND EFFECTS OF INFORMATION MOTIVATION ON USERS’ ONLINE SOCIAL NETWORK ADVERTISING ACCEPTANCE

2018 ◽  
Vol 58 (2) ◽  
pp. 174-187
Author(s):  
IMRAN ANWAR MIR
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Interaction ◽  
Information Seeking ◽  
Uses And Gratifications ◽  
Online Social Network ◽  
Social Network Sites ◽  
Multidimensional Model ◽  
Uses And Gratifications Theory ◽  
Marketing Literature

ABSTRACT Social media has produced substantial changes in the communication landscape. Online social network sites (SNS) grew as a common platform for online social interaction. SNS firms generate revenue from the advertising appearing on SNS. Their survival depends on users’ approval of such social network advertising (SNA). Marketing literature indicates that users accept advertising if it is consistent with their motivations for using social media. Information seeking is the most recognized SNS motivation. Yet, research on evaluating the influence of SNS information motivation on users’ approval of SNA is scarce. Based on SNS uses and gratifications theory, this study proposes a multidimensional model that shows the influence of SNS information motivation on users’ approval of SNA.

scholarly journals Factors affecting social interaction on social network sites: the Facebook case

2016 ◽  
Vol 29 (5) ◽  
pp. 630-649 ◽  
Author(s):  
Ander Maiz ◽  
Nieves Arranz ◽  
Juan Carlos Fdez. de Arroyabe
Keyword(s):  
Social Network ◽  
Social Interaction ◽  
Social Network Sites ◽  
Clustering Coefficient ◽  
Structural Factors ◽  
Content Type ◽  
Endogenous Factors ◽  
The Social ◽  
Exogenous Factors ◽  
The Impact

Purpose The purpose of this paper is to focus on understanding the factors which affect the social interaction in the case of Facebook. Many authors point out the great potential of these networks for social interaction and as conduits of information. However, studies show that the topology of the network is disconnected, consisting of small sub-networks that make Facebook unsuitable for disseminating information. This situation has created the need to introduce exogenous factors, aimed at boosting and providing cohesion to the network structure. In this context, the authors test the following question: how exogenous and endogenous factors contribute to encouraging social interaction on Facebook. Design/methodology/approach For the analysis of social interaction on Facebook, a population consisting of all the followers of the walls of ten corporate social networks was used. From the total 269,424 users analyzed, a stratified sample of 132 followers was obtained and networks were built for each of them. The authors then proceeded to search for each follower’s friends and friends of friends to build the social network up to the fourth level, obtaining a total of 132 subnets with 1,628,074 links between them. To determine the impact of both exogenous and endogenous factors in the interaction of the network the authors performed a causal analysis. Findings The results obtained from this study provide empirical evidence on the adequacy of companies’ dynamization measures used and how exogenous and endogenous factors influence the social interaction on Facebook. Thus, the results show that exogenous factors, such as the activity of the community manager and the digital marketing investment in the network, do not have a significant effect on the interaction. On the other hand, endogenous factors, such as network density and clustering, have a positive effect on the trigger of social interaction between the followers. Therefore, companies must consider the importance of the structural factors that characterize network followers, such as density or clustering coefficient, to be able to interpret and optimize them to obtain higher levels of social interaction. Originality/value This is one of a few papers that examine interactions in social network sites (SNS), particularly in corporate network sites in Facebook. The results expose the importance for organizations to have reliable information on the patterns of interaction to properly manage the resources allocated for this purpose in SNS.

Why we need to examine multiple social network sites

2016 ◽  
Vol 1 (4) ◽  
pp. 489-493 ◽  
Author(s):  
Airi Lampinen
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Interaction ◽  
Interpersonal Relationships ◽  
Social Network Sites ◽  
Identity Work ◽  
Privacy Management ◽  
The Cost ◽  
Interaction Change

The hyper-concentration of research on mainstream social media sites like Facebook and Twitter comes at the cost of lesser emphasis on, if not the exclusion of, other platforms and practices. How might our conceptualizations of social media and social interaction change if we were to explore a wider range of systems to enrich our theorizing? This piece considers three examples of how looking beyond the usual suspects may broaden our understanding of how social media sites play into privacy management, identity work, and interpersonal relationships. I argue that our theorizing of social media and the practices that surround them gains strength from exploring varied sites of study.

scholarly journals Motivation scale for using Social Network Sites: comparative study between Facebook, Instagram, Twitter, Snapchat and LinkedIn.

2020 ◽  
Author(s):  
Alexandra Masciantonio ◽  
David Bourguignon
Keyword(s):  
Social Network ◽  
Social Interaction ◽  
Social Network Sites ◽  
Peer Pressure ◽  
Informational Needs ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Cross Media ◽  
Confirmatory Factor ◽  
Motivation Scale

The increasing number of social network sites (SNS) and their changing nature raise the question of why people use them. This research has a twofold objective: first, to develop a motivation scale for using SNSs; second, to compare the utilization of Facebook, Instagram, Twitter, Snapchat and LinkedIn. Two studies on 364 university students, using exploratory and confirmatory factor analyses, established six motivations: entertainment, social interaction, seeking information, instrumental use, self-documentation and self-enhancement. Contrary to previous studies, Facebook use was not related with social interaction or self-enhancement. Like LinkedIn, the use of the platform was rather associated with peer pressure. The results also revealed that new practices - such as social selling - affect the use of SNS: Instagram and Snapchat were driven by instrumental needs. As expected, Twitter use satisfied mainly informational needs. The results are discussed by applying a cross-media perspective to new motives behind SNSs use.

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