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.

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

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.

Facebook in the low-cost fashion sector: the case of Primark

2017 ◽  
Vol 21 (4) ◽  
pp. 512-522 ◽  
Author(s):  
Josep Lluis Del Olmo Arriaga ◽  
David Andreu Domingo ◽  
Vanesa Berlanga Silvente
Keyword(s):  
Social Network ◽  
Low Cost ◽  
Social Network Sites ◽  
User Interaction ◽  
User Interactions ◽  
Content Type ◽  
Fashion Brand ◽  
The Social ◽  
The Relationship

Purpose The purpose of this paper is to analyse the interaction between fashion brands and consumers on social network sites. More precisely, the goal is to assess the relationship that is established between the low-cost fashion company Primark and followers of the brand on the Facebook social network in Spain, and to evaluate the brand’s use of consumer passion through this social network. Design/methodology/approach The fieldwork for this research was conducted over September-October 2015, which coincided with the final stages in the sales and the start of the autumn-winter 2015 season. The methodology was based on a daily study of all Primark publications and user interactions with the brand on Facebook. Findings The results of this study show that there is some engagement between Facebook users and Primark. However, the company does not respond to this user interaction, thereby missing opportunities in the field of consumer passion. Originality/value Until now, research into the interaction of fashion brands with users of the social networks has focused mainly on the luxury sector. This study makes an important contribution to research into the interaction between a low-cost fashion brand and users of social network sites. Primark was chosen as the focus of this case study because the brand has become a model since it broke into the mature Spanish fashion market.

scholarly journals Use of Social Network Sites Depending on the Country of Origin of the Social Network Site User

2019 ◽  
pp. 18-36
Author(s):  
Tom Sander ◽  
Biruta Sloka
Keyword(s):  
United Kingdom ◽  
Social Network ◽  
Social Network Sites ◽  
Country Of Origin ◽  
Deep Understanding ◽  
Partial Least Square ◽  
Least Square ◽  
Scientific Publications ◽  
Local Conditions ◽  
Technological Developments

Recent technological developments have determined that Social network sites (SNSs) are also marketplaces to exchange information between members e.g. to inform individuals about new products or to cooperate with each other. Such aspects of SNSs use are under the academic researchers’ interest worldwide. The strategy to create a market in SNSs for different countries can be successful if companies have a deep understanding of SNSs. That needs the investigation if mechanism in SNSs and the use of SNSs is similar world-wide. The aim of the research is to investigate how people use SNSs and to analyze reasons to use SNSs, as well as analyze differences of SNSs use depending upon the respondent’s country of origin. The tasks are to investigate similarities or differences in use of SNS in different countries and compare results of SNS use in Germany (GER), Latvia (LV), United Kingdom (UK) and Hungary (HU). The research methods applied are as follows: 1) theoretical studies in scientific publications and 2) analysis of survey level data on SNS use in Germany, United Kingdom, Latvia and Hungary. The data is analyzed with main indicators of descriptive statistics, Spearman correlation coefficient and partial least square calculations with WarpPLS to investigate difference between the countries. The intensity of use of SNSs is a kind of investment in SNSs e.g. time to share information. That can be defined as social capital. The main result of the current research is that the local conditions influence the global tool SNSs.

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.

Sign in / Sign up

Export Citation Format

Share Document