Ms Natalie De Vries
Conjoint Fellow
School of Electrical Engineering and Computing
- Email:natalie.devries@newcastle.edu.au
- Phone:(02) 40420489
Career Summary
Biography
Natalie de Vries graduated with a B.Com in Economics, a B.Bus in International Business and Marketing and a first-class Honours thesis in Marketing in 2013 at the University of Newcastle. She joined the University of Newcastle as a staff member first as a research assistant in marketing and in August 2013, she started working at the University's Priority Research Centre for Bioinformatics, Biomarker Discovery and Information-Based medicine (CIBM), which is now re-branded as the group of Life and Economy Applications of Data Science (LEADS). Here she conducts interdisciplinary research with computer science researchers in the field of computational social science as well as being in charge of the centre's outgoing communications to the general and online community and engage with private donors of the centre.
Natalie's research encompasses computational social science, marketing, online consumer behaviour, social media and related areas. Through her collaborative work with other members of the centre, Natalie conducts studies analysing large datasets through clustering, community detection, ranking, proximity graph analysis and behavioural model building amongst other methodologies.
Research ExpertiseNatalie de Vries' main area of research is consumer behaviour using computational social science techniques. Combining interdisciplinary fields to investigate online consumer behaviour, social media metrics and behaviour using predictive modeling, community detection and clustering among other methods.
Qualifications
- Bachelor of Business, University of Newcastle
- Bachelor of Commerce, University of Newcastle
Keywords
- Behaviour Modeling
- Computational Social Science
- Consumer Behaviour
- Data-Driven
- Social Media Analysis
Languages
- Dutch (Fluent)
- French (Working)
- English (Fluent)
Fields of Research
| Code | Description | Percentage |
|---|---|---|
| 010399 | Numerical and Computational Mathematics not elsewhere classified | 30 |
| 150502 | Marketing Communications | 30 |
| 150599 | Marketing not elsewhere classified | 40 |
Publications
For publications that are currently unpublished or in-press, details are shown in italics.
Chapter (2 outputs)
| Year | Citation | Altmetrics | Link | |||||
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| 2018 |
Inostroza-Ponta M, de Vries NJ, Moscato P, 'World's best universities and personalized rankings', Handbook of Heuristics, Springer, Cham, Switzerland 1335-1371 (2018) [B1]
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| 2017 |
Inostroza-Ponta M, De Vries NJ, Moscato P, 'World¿s Best Universities and Personalized Rankings', Handbook of Heuristics, Springer International Publishing, Cham, Switzerland 1-37 (2017) [B1]
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Journal article (5 outputs)
| Year | Citation | Altmetrics | Link | ||||||||
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| 2018 |
Carlson J, Rahman M, Voola R, De Vries N, 'Customer engagement behaviours in social media: capturing innovation opportunities', Journal of Services Marketing, 32 83-94 (2018) [C1]
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| 2017 |
Carlson J, De Vries NJ, Rahman MM, Taylor A, 'Go with the flow: Engineering flow experiences for customer engagement value creation in branded social media environments', Journal of Brand Management, 24 334-348 (2017) [C1] © 2017 Macmillan Publishers Ltd. A vital objective for brand managers is to engineer compelling branded social media consumption experiences for consumers that create value and in... [more] © 2017 Macmillan Publishers Ltd. A vital objective for brand managers is to engineer compelling branded social media consumption experiences for consumers that create value and innovation opportunities for brand-building advantage. This multidisciplinary study, anchored in flow theory, investigates for the first time the role of flow, configured as a hierarchical model in a branded social media environment, as having a direct influence on customer engagement value (CEV) creation. Using a survey of 371 consumers, a theoretical framework was empirically tested using structural equation modelling. The results validate flow modelled as a higher-order construct, which unlocks and positively influences perceptions of CEV in branded social media environments. Curvilinear quadratic effects of flow are also investigated which provide novel insights on how optimising salient components of flow act as key customer experience mechanisms for maximising CEV creation in social media.
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| 2014 |
De Vries N, Carlson JL, 'Examining the drivers and brand performance implications of customer engagement with brands in the social media environment', Journal of Brand Management, 21 495-515 (2014) [C1]
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| 2014 |
de Vries NJ, Carlson J, Moscato P, 'A Data-Driven Approach to Reverse Engineering Customer Engagement Models: Towards Functional Constructs', PLoS One, 9 (2014) [C1]
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de Vries NJ, Reis R, Moscato P, 'Clustering Consumers Based on Trust, Confidence and Giving Behaviour: Data-Driven Model Building for Charitable Involvement in the Australian Not-For-Profit Sector', PLOS ONE, 10 e0122133-e0122133 [C1]
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Conference (5 outputs)
| Year | Citation | Altmetrics | Link | ||||||||
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| 2017 |
Gabardo AC, Berretta R, De Vries NJ, Moscato P, 'Where Does My Brand End? An Overlapping Community Approach', Intelligent and Evolutionary Systems. The 20th Asia Pacific Symposium, IES 2016, Canberra (2017) [E1]
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| 2016 |
de Vries NJ, Arefin AS, Mathieson L, Lucas B, Moscato P, 'Relative neighborhood graphs uncover the dynamics of social media engagement', Advanced Data Mining and Applications. 12th International Conference, ADMA 2016, Gold Coast, QLD (2016) [E1]
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| 2014 |
Moslemi Naeni L, de Vries N, Reis R, Arefin AS, Berretta R, Moscato P, 'Identifying Communities of Trust and Confidence in the Charity and Not-for-Profit Sector: A Memetic Algorithm Approach', Proceedings IEEE Fourth International Conference on Big Data and Cloud Computing (BdCloud) 2014, Sydney (2014) [E1]
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| 2014 |
Lucas B, Arefin AS, de Vries NJD, Berretta R, Carlson J, Moscato P, 'Engagement in Motion: Exploring Short Term Dynamics in Page-Level Social Media Metrics', Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, Sydney (2014) [E1]
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| 2014 |
de Vries NJ, Arefin AS, Moscato P, 'Gauging Heterogeneity in Online Consumer Behaviour Data: A Proximity Graph Approach', Proceedings the Fourth IEEE International Conference on Big Data and Cloud Computing (BdCloud), Sydney, NSW (2014) [E1]
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Ms Natalie De Vries
Position
Conjoint Fellow
CIBM
School of Electrical Engineering and Computing
Faculty of Engineering and Built Environment
Contact Details
| natalie.devries@newcastle.edu.au | |
| Phone | (02) 40420489 |
Office
| Room | L3 Pod |
|---|---|
| Building | HMRI Building. |
| Location | Hunter Medical Research Institute (New Lambton Heights) , |