2016
DOI: 10.1108/gs-09-2015-0049
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Grey social media engagement analysis

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Cited by 4 publications
(4 citation statements)
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References 40 publications
(34 reference statements)
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“…Some researchers contended that GST could contribute to the analysis of social networks. Delcea (2016) explored the impact of social media engagement on customers' decisions, through a grey analysis [43]. Duran et al (2017) also tried to detect communities in social networks, relying on GRA [28].…”
Section: Resultsmentioning
confidence: 99%
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“…Some researchers contended that GST could contribute to the analysis of social networks. Delcea (2016) explored the impact of social media engagement on customers' decisions, through a grey analysis [43]. Duran et al (2017) also tried to detect communities in social networks, relying on GRA [28].…”
Section: Resultsmentioning
confidence: 99%
“…Generally, GST-based methods can achieve better results over time in online social networks because the nature of the relationships generated in online social networks is characterized by incomplete information [43]. Since the social networks are generally very large, the near-linear time and space complexity is quite important for their analysis.…”
Section: Discussionmentioning
confidence: 99%
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“…This theory can competently hold uncertainty under discrete and imperfect information (Kang et al, 2022). The conceptions of grey sets theory have been exposed for handling distinguish cases pertaining to CNC machines (Sahu et al, 2014), material handling equipments (Sahu et al, 2017a), factors selection in civil aircraft research and manufacturing cost system (Naiming, 2018), eco-tourism resources evaluation (Zhan et al, 2015), health-care waste disposal strategy (Thakur and Ramesh, 2017), evaluation of mobiles replacement cases (Sahu et al, 2018a), agility evaluation under mass customization systems (Mishra et al, 2013), facility location in global supply chain (Prakash et al, 2015), project portfolio selection dilemma (Razi and Shariat, 2017), social media engagement analysis (Delcea, 2016) and evaluations of fruit supply bazaars (Sahu et al, 2018b). Various statements disclosing the mathematical ambience of grey sets theory are as follows (Deng, 1982): Statement 3.1: Grey theory enrols probabilistic thinking to the system to assist in determining necessary outcomes (Prakash et al, 2015).…”
Section: Implicated Methodologymentioning
confidence: 99%