Department of Digitalization


Room: HOW/60-2.14
, Mobile:
E-mail: rv.digi@cbs.dk
Ravi Vatrapu is the director of the Centre for Business Data Analytics (http://bda.cbs.dk), professor of computational social science at the Department of Digitalization of the Copenhagen Business School, and professor of applied computing at the Westerdals Oslo School of Arts Communication and Technology.  
Center for Business Data Analytics (cbsBDA: bda.cbs.dk) conducts transdisciplinary basic research at the socio-technical intersections of computer science and social science with specific applications to managers in companies, teachers in schools and residents in cities.
cbsBDA's basic research program is aimed at modelling and explaining socio-technical interactions using set theory. Our applied research program seeks to design, develop and evaluate big data analytics applications for managers (descriptive, predictive, and prescriptive analytics), teachers (teaching analytics and learning analytics), and citizens (public health analytics).
cbsBDA’s current research, education, and service focuses on Big Social Data Analytics, GPS Analysis, Building Usage Analytics, and Bitcoin Blockchain Analytics.
cbsBDA aspires to conduct engaged scholarship in the Pasteur's Quadrant. cbsBDA’s objectives are not only to make seminal contributions to scientific knowledge as evidenced by peer-reviewed publications but also to create practical applications that yield meaningful facts, actionable insights, valuable outcomes, and sustainable impacts for organizations and society.
Prof. Vatrapu holds a Doctor of Philosophy (PhD) degree in Communication and Information Sciences from the University of Hawaii at Manoa, a Graduate Certificate in International Cultural Studies from the East-West Center & University of Hawaii, a Master of Science (MSc) in Computer Science and Applications from Virginia Tech, and a Bachelor of Technology (BTech) in Computer Science and Systems Engineering from Andhra University
Primary research areas
  • Computational Social Science
  • Big Data Analytics
  • Social Set Analysis
  • Social Business:
    • Social Media Engagement
    • Social Media Analytics
    • Social Media Management
  • Teaching Analytics & Computer Supported Collaborative Learning (CSCL)
  • e-Government and e-Politics
  • Enactive Approach to the Philosophy of Mind
Curriculum Vitae
Social media
Link to this homepage
  • Big Data Analytics (Data-in-Business Minor)
  • Big Social Data Analytics
  • Social Media Management

Prof. Vatrapu  is currently supervising 10 PhD students and more than 20 Master thesis students. He is interested in supervising PhD and Master projects on big data analytics, computational social science, technical projects on the enactive approaches to the philosophy of mind, teaching analytics and organizational learning.

Other teaching activities

PhD Courses: Understanding Social Media and Understanding Social Business.

Selected publications




[J.19] Siikanen, M., Baltakys, K., Kanniainen, J., Vatrapu, R., Mukkamala, R., & Hussain, A. (2018). Facebook Drives Behavior of Passive Households in Stock Markets. Finance Research Letters, https://doi.org/10.1016/j.frl.2018.1003.1020.

[J.18] Menon, K., Kärkkäinen, H., Jussila, J., Huhtamäki, J., Mukkamala, R. R., Lasrado, L., Vatrapu, R., & Hussain, A.  (2018). Analysing the Role of Crowdfunding in Entrepreneurial Ecosystems: A Social Media Event Study of Two Competing Product Launches. International Journal of Entrepreneurship and Small Business.

[J.17] Jensen, T., Vatrapu, R., & Bjorn-Andersen, N. (2018). Avocados Crossing Borders: The Problem of Runaway Objects and the Solution of a Shipping Information Pipeline for Improving International Trade. Information Systems Journal.

[J.16] C. Mejia; B. Florian-Gaviria; R. Vatrapu; S. Bull; S. Gomez; R. Fabregat. (2017). A novel web-based approach for visualization and inspection of reading difficulties on university students. IEEE Transactions on Learning Technologies, 10(1), pp. 53-67, doi: 10.1109/TLT.2016.2626292.

[J.15] Vatrapu, R., Mukkamala, R. R., Hussain, A., & Flesch, B. (2016). Social Set Analysis: A Set Theoretical Approach to Big Data Analytics. IEEE Access, 4, 2542-2571. [7462188]. DOI: 10.1109/ACCESS.2016.2559584.



[C.109] Harlev, M., Sun Yin, H., Langenheldt, K., Mukkamala, R., & Vatrapu, R. (2018). Breaking Bad: De-Anonymising Entity Types on the Bitcoin Blockchain Using Supervised Machine Learning. Proceedings of the Hawaii International Coneference on System Sciences (HICSS 2018). (Best Paper Award) (Best Student Paper Award)

[C.97] Kinra, A., Mukkamala, R., & Vatrapu, R. (2017). Methodological Demonstration of a Text Analytics Approach to Country Logistics System Assessments. Proceedings of the 5th International Conference on Dynamics in Logistics (LDIC 2016), Bremen, Germany. (Best Paper Nomination)

[C.62] Jensen, T., Bjørn-Andersen, N., & Vatrapu, R. (2014). Avocados Crossing Borders: The Missing Common Information Infrastructure for International Trade. In N. Yamashita, V. Evers, C. Rosé, & M. B. Watson-Manheim (Eds.), CABS '14. Proceedings of the 5th ACM International Conference on Collaboration across Boundaries: Culture, Distance & Technology. (pp. 15-24). New York: Association for Computing Machinery. DOI: 10.1145/2631488.2631500. (Best Paper Award)

[C.61] Zimmerman, C., Chen, Y., Hardt, D., & Vatrapu, R. (2014). Marius, the Giraffe: A Comparative Informatics Case Study of Linguistic Features of the Social Media Discourse. In N. Yamashita, V. Evers, C. Rosé, & M. B. Watson-Manheim (Eds.), Proceeding CABS '14 Proceedings of the 5th ACM International Conference on Collaoration Across Boundaries: Culture, Distance & Technology. (pp. 131-140). New York: Association for Computing Machinery. DOI: 10.1145/2631488.2631501 (Best Paper Nomination)

[C.22] Medina, R., Suthers, D., & Vatrapu, R. (2009). Inscriptions Becoming Representations. In Claire O'Malley, Daniel Suthers, Peter Reimann, Angelique Dimitracopoulou (eds). Computer Supported Collaborative Learning Practices: CSCL2009 Conference Proceedings, International Society of the Learning Sciences, June 8-13, 2009, Rhodes, Greece, pp.18-27.(Best Student Paper Award) (Best Paper Nomination)

[C.18] Le Pape, M., & Vatrapu, R. (2009). An Experimental Study of Field Dependency in Altered Gz Extreme Environments. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2009), April 4-9, 2009, Boston, USA. (Best Paper Nomination)

[C.13] Suthers, D., Vatrapu, R., Medina, R., & Dwyer, N. (2007). Information Sharing and Interaction in Collaborative Convergence. Proceedings of the 15th International Conference on Computers in Education (ICCE 2007), Hiroshima, Japan. (Best Paper Award)

Publications List
Publications sorted by:
Fie Sternberg; Kasper Hedegaard Pedersen; Niklas Klve Ryelund; Raghava Rao Mukkamala; Ravi Vatrapu / Analysing Customer Engagement of Turkish Airlines Using Big Social Data
In: Proceedings of the 7th IEEE International Congress on Big Data: BigData Congress 2018. . ed. /Shadi Ibrahim; Isaac Triguero; Bingsheng He. Los Alamitos, CA : IEEE 2018, p. 74-81
Article in proceedings > peer review
Karan Menon; Hannu Kärkkäinen; Jari Jussila; Jukka Huhtamäki; Raghava Rao Mukkamala; Lester Allan Lasrado; Ravi Vatrapu; Abid Hussain / Analysing the Role of Crowdfunding in Entrepreneurial Ecosystems : A Social Media Event Study of Two Competing Product Launches.
In: International Journal of Entrepreneurship and Small Business, Vol. 33, No. 4, 2018, p. 575-606
Journal article > peer review
Thomas Jensen; Ravi Vatrapu; Niels Bjørn-Andersen / Avocados Crossing Borders : The Problem of Runaway Objects and the Solution of a Shipping Information Pipeline for Improving International Trade.
In: Information Systems Journal, Vol. 28, No. 2, 3.2018, p. 408-438
Journal article > peer review
Xiaochen Zheng; Raghava Rao Mukkamala; Ravi Vatrapu; Joaqun Ordieres-Mere / Blockchain-based Personal Health Data Sharing System Using Cloud Storage
In: 2018 IEEE 20th International Conference on E-Health Networking, Applications and Services (Healthcom). ed. /Jan Kubicek. Los Alamos, CA : IEEE 2018
Article in proceedings > peer review
Mikkel Alexander Harlev; Haohua Sun Yin; Klaus Christian Langenheldt; Raghava Rao Mukkamala; Ravi Vatrapu / Breaking Bad : De-Anonymising Entity Types on the Bitcoin Blockchain Using Supervised Machine Learning.
In: Proceedings of the 51st Hawaii International Conference on System Sciences 2018Honolulu : Hawaii International Conference on System Sciences (HICSS) 2018, p. 3497-3506 (Proceedings of the Annual Hawaii International Conference on System Sciences)
Article in proceedings > peer review
Milla Siikanen; Kęstutis Baltakys; Juho Kanniainen; Ravi Vatrapu; Raghava Rao Mukkamala; Abid Hussain / Facebook Drives Behavior of Passive Households in Stock Markets
In: Finance Research Letters, 23.3.2018
Journal article > peer review
Lisbeth la Cour; Anders Milhøj; Ravi Vatrapu; Niels Buus Lassen / Predicting the Daily Sales of Mikkeller Bars Using Facebook Data
In: Symposium i anvendt statistik: 22.-24. januar 2018. . ed. /Peter Linde. København : Københavns Universitet 2018, p. 125-141
Article in proceedings > peer review
Katrine Kunst; Ravi Vatrapu / Understanding Electronic Word of Behavior : Conceptualization of the Observable Digital Traces of Consumers’ Behaviors.
In: Electronic Markets, 9.6.2018
Journal article > peer review
Qi An; Morten Grimmig Christensen; Annith Ramachandran; Raghava Rao Mukkamala; Ravi Vatrapu / Volkswagen’s Diesel Emission Scandal : Analysis of Facebook Engagement and Financial Outcomes.
In: Big Data – BigData 2018: 7th International Congress, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25–30, 2018, Proceedings. . ed. /Francis Y. L. Chin; C. L. Philip Chen; Latifur Khan; Kisung Lee; Liang-Jie Zhang. Cham : Springer 2018, p. 260-276 (Lecture Notes in Computer Science, Vol. 10968)
Article in proceedings > peer review
Benjamin Flesch; Ravi Vatrapu; Raghava Rao Mukkamala / A Big Social Media Data Study of the 2017 German Federal Election Based on Social Set Analysis of Political Party Facebook Pages with SoSeVi
In: Proceedings. 2017 IEEE International Conference on Big Data: IEEE Big Data 2017. . ed. /Jian-Yun Nie; Zoran Obradovic; Toyotaro Suzumura; Rumi Ghosh; Raghunath Nambiar; Chonggang Wang; Hui Zang; Ricardo Baeza-Yates; Xiaohua Hu; Jeremy Kepner; Alfredo Cuzzocrea; Jian Tang; Masashi Toyoda. Los Alamitos, CA : IEEE 2017, p. 2638-2647
Article in proceedings > peer review
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