A discrete electronic word-of-mouth propagation model and its application in online social networks

2019 ◽  
Vol 527 ◽  
pp. 121172 ◽  
Author(s):  
Jiakun Wang ◽  
Xinhua Wang ◽  
Yun Li
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Word Of Mouth ◽  
Propagation Model ◽  
Electronic Word Of Mouth

Electronic Word-of-Mouth Communication in Online Social Networks

2016 ◽  
pp. 77-102
Author(s):  
Tuğçe Ozansoy Çadırcı ◽  
Ayşegül Sağkaya Güngör
Keyword(s):  
Social Networks ◽  
Social Interaction ◽  
Online Social Networks ◽  
Word Of Mouth ◽  
Three Dimensions ◽  
Electronic Word Of Mouth ◽  
Motivating Factors ◽  
Unique Nature ◽  
Negative Effect ◽  
Word Of Mouth Communication

Online social networks (oSNS) enable users to construct strong relationships with friends, family, as well as strangers. They also enable users to share information concerning experiences and opinions about products, brands and companies via electronic word of mouth (eWOM). The unique nature of oSNS-eWOM relationship forms the basis of this research. The authors report the results of a research investigating six motivational factors for engaging in eWOM communication, investigated under three dimensions; producing, consuming and forwarding of content on oSNSs. Results reveal that eWOM production behavior on oSNS is mainly motivated by altruism, self enhancement, electronic social interaction and exhibitionism. The motivating factors of eWOM forwarding behavior showed up as electronic social interaction and exhibitionism, whereas the motivating factors for eWOM consumption behavior are altruism, electronic social interaction and need for intellectual engagement. Aversion of cognitive activities appeared to have a negative effect on consumption of eWOM communication.

scholarly journals A Bio-Inspired Defensive Rumor Confinement Strategy in Online Social Networks

2021 ◽  
Vol 33 (1) ◽  
pp. 47-70
Author(s):  
Santhoshkumar Srinivasan ◽  
Dhinesh Babu L. D.
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Propagation Model ◽  
Information Propagation ◽  
Control Approach ◽  
Rumor Propagation ◽  
Immunization Strategies ◽  
New Information ◽  
The Individual ◽  
Rumor Control

Online social networks (OSNs) are used to connect people and propagate information around the globe. Along with information propagation, rumors also penetrate across the OSNs in a massive order. Controlling the rumor propagation is utmost important to reduce the damage it causes to society. Educating the individual participants of OSNs is one of the effective ways to control the rumor faster. To educate people in OSNs, this paper proposes a defensive rumor control approach that spreads anti-rumors by the inspiration from the immunization strategies of social insects. In this approach, a new information propagation model is defined to study the defensive nature of true information against rumors. Then, an anti-rumor propagation method with a set of influential spreaders is employed to defend against the rumor. The proposed approach is compared with the existing rumor containment approaches and the results indicate that the proposed approach works well in controlling the rumors.

The Influence of Social Networks on the Choice of a University Brand by Generation Y

2021 ◽  
Vol 4 (62) ◽  
pp. 5-22
Author(s):  
Nargiza Aliyeva ◽  
Gaukhar Mukhamediyeva
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Brand Equity ◽  
Generation Y ◽  
Word Of Mouth ◽  
Social Space ◽  
Electronic Word Of Mouth ◽  
The Impact ◽  
Positive Effect ◽  
University Brand

Social networks are actively penetrating into all spheres of our society. The influence of social media is strongly affected by the younger generation, who spends a lot of time in the virtual social space. The purpose of this study was to study the influence of social networks on the choice of a university brand by representatives of generation Y. The data was collected through an online survey using the Google forms service. The results obtained indicate that social media engagement has a positive effect on brand image. Firm-created and user-generated social media communication have a positive effect on brand equity in Higher Education Institutions. Brand equity positively influences Brand choice intention. The value of this study lies in the fact that it considered the influence of various factors on the formation of the intention of representatives of generation Y to choose brands of universities, taking into account the moderate effect of electronic word of mouth. The results obtained complement the scientific literature on the impact of social media on consumer behavior. The results of this study can help in understanding the choice of students of educational organizations, taking into account the influence of social networks and electronic word of mouth, which can help university marketing departments to promote brands more effectively in the social media space.

Modelling multi-topic information propagation in online social networks based on resource competition

2016 ◽  
Vol 43 (3) ◽  
pp. 342-355 ◽  
Author(s):  
Liyuan Sun ◽  
Yadong Zhou ◽  
Xiaohong Guan
Keyword(s):  
Social Networks ◽  
Network Structure ◽  
Online Social Networks ◽  
Resource Competition ◽  
Propagation Model ◽  
Small Scale ◽  
Model Parameters ◽  
Information Propagation ◽  
Practical Applications ◽  
The Impact

Understanding information propagation in online social networks is important in many practical applications and is of great interest to many researchers. The challenge with the existing propagation models lies in the requirement of complete network structure, topic-dependent model parameters and topic isolated spread assumption, etc. In this paper, we study the characteristics of multi-topic information propagation based on the data collected from Sina Weibo, one of the most popular microblogging services in China. We find that the daily total amount of user resources is finite and users’ attention transfers from one topic to another. This shows evidence on the competitions between multiple dynamical topics. According to these empirical observations, we develop a competition-based multi-topic information propagation model without social network structure. This model is built based on general mechanisms of resource competitions, i.e. attracting and distracting users’ attention, and considers the interactions of multiple topics. Simulation results show that the model can effectively produce topics with temporal popularity similar to the real data. The impact of model parameters is also analysed. It is found that topic arrival rate reflects the strength of competitions, and topic fitness is significant in modelling the small scale topic propagation.

Identifying Influencers in Online Social Networks

2013 ◽  
Vol 9 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Yifeng Zhang ◽  
Xiaoqing Li ◽  
Te-Wei Wang
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Word Of Mouth ◽  
Agent Based Modeling ◽  
Viral Marketing ◽  
Tie Strength ◽  
Agent Based ◽  
Widespread Acceptance ◽  
Tremendous Amount ◽  
Marketing Messages

Online social networks (OSNs) are quickly becoming a key component of the Internet. With their widespread acceptance among the general public and the tremendous amount time that users spend on them, OSNs provide great potentials for marketing, especially viral marketing, in which marketing messages are spread among consumers via the word-of-mouth process. A critical task in viral marketing is influencer identification, i.e. finding a group of consumers as the initial receivers of a marketing message. Using agent-based modeling, this paper examines the effectiveness of tie strength as a criterion for influencer identification on OSNs. Results show that identifying influencers by the number of strong connections that a user has is superior to doing so by the total number of connections when the strength of strong connections is relatively high compared to that of weak connections or there is a relatively high percentage of strong connections between users. Implications of the results are discussed.

Working Adults' Buying Intention Through Online Social Network

2021 ◽  
Vol 17 (4) ◽  
pp. 92-116
Author(s):  
Syed Shah Alam ◽  
Chieh-Yu Lin ◽  
Mohd Helmi Ali ◽  
Nor Asiah Omar ◽  
Mohammad Masukujjaman
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Online Social Networks ◽  
Perceived Risk ◽  
Word Of Mouth ◽  
Online Social Network ◽  
Perceived Value ◽  
Online Social Media ◽  
Starting Point

Most businesses have online social media presence; therefore, understanding of working adult's perception on buying through online social networks is vital. The aim of this study is to examine the effect of perceived value, sociability, usability, perceived risk, trust, and e-word-of-mouth on buying intention through online social network sites. The research model for this study was developed based on the literature on information system research. This study adopted convenient sampling of non-probability sampling procedure. Data were collected through self-administered questionnaire, and PLS-based path analysis was used to analyse responses. The findings of the study shows that perceived value, sociability, usability, e-word-of-mouth, attitude, and subjective norm are significant constructs of buying intention through online social networks. This research can serve as a starting point for online shopping research through online social media while encouraging further exploration and integration addition adoption constructs.

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