Locations and Networks at scale:

From insights to predictive models

Dmytro Karamshuk

Centre of Telecommunications Research

Department of Informatics, King's College London

Understanding watching patterns of on-

demand TV users

On Factors Affecting the Usage and Adoption of a Nation-wide TV Streaming Service. D. Karamshuk, N. Sastry, A. Secker, J. Chandaria, IEEE INFOCOM, Hong Kong, 2015.

ISP-friendly Peer-assisted On-demand Streaming of Long Duration Content in BBC iPlayer. D. Karamshuk, N. Sastry, A. Secker, J. Chandaria, IEEE INFOCOM, Hong Kong, 2015.

Identifying Geographic Clusters of Scientific Activity

Identifying Geographic Clusters: A Network Approach. R. Catini, D. Karamshuk, O. Penner, M. Riccaboni, Elsevier Journal on Research Policy, 2015.

Japan

Tokyo

Mining Social Media for Geographic Retail

Analysis

Geo-Spotting: Mining Online Location-based Services for Optimal Retail Store Placement. D. Karamshuk, A. Noulas, S. Scellato, V. Nicosia, C. Mascolo, ACM SIGKDD

Conference on Knowledge Discovery and Data Mining (KDD), Chicago, 2013.

Predicting Pinterest: Automating a distributed human computation. C. Zhong, D. Karamshuk, N. Sastry,

World Wide Web Conference (WWW), Florence, 2015.

Predicting user behavior in Pinterest

Dmytro Karamshuk

Twitter: @karamshuk

“True genius resides in the capacity for evaluation of uncertain, hazardous, and

conflicting information”

#ChurchillQuotes