Raazesh Sainudiin

Raazesh Sainudiin

I work at the interface of mathematics, computing and statistics to solve real-world problems through custom-built mathematical and statistical models.

Project MEP: Meme Evolution Programme

MEP is concerned with mathematical communications of the following notions.

  • Tweet transmission trees (TTT) and twitter ideological networks (TIN) from historical and live twitter streams
  • Metric trees and networks of meme transmissions over multiple extremist ideologies
  • Mathematical models for the emergence of echo-chambers in co-fabricated ideologies over social media networks
  • Mathematical models of socio-psychological diversity: Towards minimal thresholds for a functioning democracy
  • Open-sourced codes: github MEP codes
  • Live research: github MEP research
  • Project MEP: Meme Evolution Programme - Privacy-Preserving Decisions

MEP is partly supported by:

Any mathematical communications of Project MEP that are construed as opinions, findings, conclusions or recommendations are possibly those of the author(s) and do not necessarily reflect those of the funding bodies.

MEP research is directed by Raazesh Sainudiin with code contributions from the following individuals (in chronological order):

  • Raazesh Sainudiin
  • Ivan Sadikov
  • Rania Sahioun
  • Akinwande Atanda
  • Joakim Johansson
  • Olof Björck twitterVisualizations

Published, Submitted and Working Papers of Projet MEP

  • Raazesh Sainudiin, Kumar Yogeeswaran, Kyle Nash and Rania Sahioun, Rejecting the Null Hypothesis of Apathetic Retweeting of US politicians and SPLC-defined Hate Groups in the 2016 US Presidential Election, 8 pages, 2018 (PDF 448KB)
  • Kumar Yogeeswaran, Kyle Nash, Rania Sahioun and Raazesh Sainudiin, Seeded by Hate? Characterizing the Twitter Networks of Prominent Politicians and Hate Groups in the 2016 US Election, 2017 (PDF of Working Paper 816KB)
  • The Transmission Process: A Combinatorial Stochastic Process for the Evolution of Transmission Trees over Networks, Raazesh Sainudiin and David Welch, Journal of Theoretical Biology, Volume 410, Pages 137–170, 10.1016/j.jtbi.2016.07.038, 2016

Published Datasets for MEP

  • 21,749,868 Tweet IDs used in: Kumar Yogeeswaran, Kyle Nash, Rania Sahioun and Raazesh Sainudiin, Seeded by Hate? Characterizing the Twitter Networks of Prominent Politicians and Hate Groups in the 2016 US Election, 2017 (zip of csv 178MB); ignore the fourteen negative IDs

Some Extensions of Apache Spark For MEP

Some Notebooks to Get your Hands Dirty and Minds Firing!

Background Reading/Viewing

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