2018 10th International Conference on Communication Systems &Amp; Networks (COMSNETS) 2018
DOI: 10.1109/comsnets.2018.8328288
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Design and implementation of small multiples matrix-based visualisation to monitor and compare email socio-organisational relationships

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Cited by 10 publications
(3 citation statements)
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“…This topic was discussed at the IEEE VIS 2014 conference during the "2D vs 3D" panel [208]. We already observe an increase in visualisation adoption (see Table 5 and Figure 28 on page 44) whereby newer publications are being published in non-visualisation journals, but still focus on visualisation [44,45,52,68,69,72,73]. This is a reliable indicator of adoption as business oriented journals are publishing visualisation centred papers.…”
Section: Discussion and Observationsmentioning
confidence: 90%
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“…This topic was discussed at the IEEE VIS 2014 conference during the "2D vs 3D" panel [208]. We already observe an increase in visualisation adoption (see Table 5 and Figure 28 on page 44) whereby newer publications are being published in non-visualisation journals, but still focus on visualisation [44,45,52,68,69,72,73]. This is a reliable indicator of adoption as business oriented journals are publishing visualisation centred papers.…”
Section: Discussion and Observationsmentioning
confidence: 90%
“…Woo et al [64] Proprietary Audio data from customers in call centre Hanafizadeh and Mirzazadeh [65] Proprietary Six-dimensional vector customer dataset Shi et al [36] Proprietary Generic search engine data Rodden [84] Proprietary Private Youtube site navigation data Yaeli et al [21] Proprietary Digitally collected customer path tracking data Dou et al [32] Proprietary Survey conducted on Reddit.com Kameoka et al [66] Proprietary Dataset provided by industry parnter-supermarket PoS data Nair et al [85] Proprietary Large customer behaviour dataset-unspecified origin Wu et al [67] Proprietary Telco data obtained from China's largest telecommunications operator Nagaoka et al [22] Proprietary Customer behaviour collected from digital devices Sijtsma et al [37] Public Twitter data mined to collect the customer experience and expectation of various retail stores Sathiyanarayanan et al [68] Public Email exchange at company level Table 4. Cont.…”
Section: Customer Centric Customer Behaviourmentioning
confidence: 99%
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