State-of-art review of information diffusion models and their impact on social network vulnerabilities

Razaque, Abdul; Rizvi, Syed A.; Khan, Meer Jaro; Almiani, Muder; Rahayfeh, Amer Al

doi:10.1016/j.jksuci.2019.08.008

Cited by 32 publications

(11 citation statements)

References 108 publications

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“…Razaque et al [29] conducted a review focused on the classification of information diffusion models and the vulnerability of each model. However, this work did not discuss network influencers and how to maximize influence within the network.…”

Section: Related Literature Reviewmentioning

confidence: 99%

“…Although some studies on information diffusion in social networks exist, such as [28][29][30][31][32][33][34][35], the following have not been studied in previous literature reviews: article selection reviewed according to the SLR procedure, a bibliometric analysis and theme evolution approach, the determination of research objectives related to the information diffusion model on Twitter, and the metrics and measures used by researchers.…”

Section: Introductionmentioning

confidence: 99%

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Information Diffusion Model in Twitter: A Systematic Literature Review

et al. 2021

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Information diffusion, information spread, and influencers are important concepts in many studies on social media, especially Twitter analytics. However, literature overviews on the information diffusion of Twitter analytics are sparse, especially on the use of continuous time Markov chain (CTMC). This paper examines the following topics: (1) the purposes of studies about information diffusion on Twitter, (2) the methods adopted to model information diffusion on Twitter, (3) the metrics applied, and (4) measures used to determine influencer rankings. We employed a systematic literature review (SLR) to explore the studies related to information diffusion on Twitter extracted from four digital libraries. In this paper, a two-stage analysis was conducted. First, we implemented a bibliometric analysis using VOSviewer and R-bibliometrix software. This approach was applied to select 204 papers after conducting a duplication check and assessing the inclusion–exclusion criteria. At this stage, we mapped the authors’ collaborative networks/collaborators and the evolution of research themes. Second, we analyzed the gap in research themes on the application of CTMC information diffusion on Twitter. Further filtering criteria were applied, and 34 papers were analyzed to identify the research objectives, methods, metrics, and measures used by each researcher. Nonhomogeneous CTMC has never been used in Twitter information diffusion modeling. This finding motivates us to further study nonhomogeneous CTMC as a modeling approach for Twitter information diffusion.

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Section: Related Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Information Diffusion Model in Twitter: A Systematic Literature Review

et al. 2021

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“…However, social network analysis identifies influential individuals from a purely mathematical perspective. Through analysis of the structure of networks and the connections between users, the network-based approach is able to identify key nodes that may impact the diffusion of information through a network (see Razaque et al, 2019 for a review). However, we argue that by taking the sociopsychological reality of individuals into account, we can gain greater understanding into the social dynamics of online groups.…”

Section: Current Online Social Influence Approachesmentioning

confidence: 99%

Using computational techniques to study social influence online

Cork

Everson

Levine

et al. 2020

Group Processes & Intergroup Relations

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The social identity approach suggests that group prototypical individuals have greater influence over fellow group members. This effect has been well-studied offline. Here, we use a novel method of assessing prototypicality in naturally occurring data to test whether this effect can be replicated in online communities. In Study 1a ( N = 53,049 Reddit users), we train a linguistic measure of prototypicality for two social groups: libertarians and entrepreneurs. We then validate this measure further to ensure it is not driven by demographics (Study 1b: N = 882) or local accommodation (Study 1c: N = 1,684 Silk Road users). In Study 2 ( N = 8,259), we correlate this measure of prototypicality with social network indicators of social influence. In line with the social identity approach, individuals who are more prototypical generate more responses from others. Implications for testing sociopsychological theories with naturally occurring data using computational approaches are discussed.

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“…Information technology has undergone continuous changes where so many innovative service offerings are provided by development of information technology (Kurnia et al, 2021). Organizations or companies must be able to adapt to technological developments to be able to continue to survive and improve by utilizing information technology in their business (Norton et al, 2020;Oliveira and de Souza, 2022) including in the world of education which is starting to adapt and innovate for standard school education (Razaque et al, 2019;Abdul and Alajlan, 2020;Varvarigos, 2020). Information technology itself plays an important role as one of the supports in the business processes of an organization.…”

Section: Introductionmentioning

confidence: 99%

Designing Information System Architecture Based on Education 4.0 Case Study: Senior High School Institutions of Indonesia

Geasela¹,

Legowo²

2022

Journal of Computer Science

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The development of information technology that has occurred to date has made information technology necessary in an organization's business in various fields. Information technology support is very much needed in the current era of globalization because it can increase business effectiveness and efficiency. Utilization of technology optimally and in line with business processes is the main thing in developing the application of information technology. Senior High School (SHS) is one of the educational agencies in Indonesia that is developing following the development of technology. SHS institutions realize how important it is to apply technology in supporting their business processes. At present, the SHS institution has been helped with technology such as the use of Excel in all recording in schools, but the SHS institution itself has not implemented optimal and integrated information technology in every field of school activity which often occur in data loss, delivery of information both in terms of learning as well as school activities that require a long time, and not integrated the school system. The application of information technology that will be used by a school must be by the goals of the school so that the application can help the school well in achieving school business goals, the use of Enterprise Architecture (EA) in the application of information technology to help analyze information technology planning by SHS institutions. This study will use The Open Group Architecture Framework (TOGAF) to assist in application planning. The final results of this study proposed six application blueprints namely Academic System, Non-Academic System, Procurement Management, Financial Management, HR Management, and Data Management which are tailored to the business process and the needs of the SHS institution.

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State-of-art review of information diffusion models and their impact on social network vulnerabilities

Cited by 32 publications

References 108 publications

Information Diffusion Model in Twitter: A Systematic Literature Review

Information Diffusion Model in Twitter: A Systematic Literature Review

Using computational techniques to study social influence online

Designing Information System Architecture Based on Education 4.0 Case Study: Senior High School Institutions of Indonesia

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