Ms Natalie De Vries

Ms Natalie De Vries

Research Academic

School of Elect Engineering and Computer Science

Career Summary


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 part-time at the University's Priority Research Centre for Bioinformatics, Biomarker Discovery and Information-Based medicine (CIBM). Here she conducts interdisciplinary research with CIBM's 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 Expertise
Natalie 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. 


  • Bachelor of Business, University of Newcastle
  • Bachelor of Commerce, University of Newcastle


  • Behaviour Modeling
  • Computational Social Science
  • Consumer Behaviour
  • Data-Driven
  • Social Media Analysis


  • 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

Professional Experience

UON Appointment

Title Organisation / Department
Research Academic University of Newcastle
School of Elect Engineering and Computer Science


For publications that are currently unpublished or in-press, details are shown in italics.

Journal article (3 outputs)

Year Citation Altmetrics Link
2015 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 (2015)
DOI 10.1371/journal.pone.0122133
Co-authors Pablo Moscato
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]
DOI 10.1057/bm.2014.18
Co-authors Jamie Carlson
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]
DOI 10.1371/journal.pone.0102768
Citations Scopus - 2Web of Science - 1
Co-authors Pablo Moscato, Jamie Carlson

Conference (3 outputs)

Year Citation Altmetrics Link
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]
DOI 10.1109/BDCloud.2014.83
Co-authors Regina Berretta, Pablo Moscato
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]
DOI 10.1109/BDCloud.2014.56
Co-authors Regina Berretta, Pablo Moscato, Jamie Carlson
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]
DOI 10.1109/BDCloud.2014.23
Co-authors Pablo Moscato

Ms Natalie De Vries


Research Academic
School of Elect Engineering and Computer Science
Faculty of Engineering and Built Environment

Contact Details

Phone (02) 40420489


Room L3 Pod
Building HMRI Building
Location Hunter Medical Research Institute (New Lambton Heights)