Emilio Ferrara, Ph.D.
  • Blog
  • Datasets
  • Data Science for Communication & Social Networks
  • Publications
  • Resources
  • Media Coverage
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  • Blog
  • Datasets
  • Data Science for Communication & Social Networks
  • Publications
  • Resources
  • Media Coverage

Projects

COSINE: Cognitive Online Simulation of Information Network Environments

Modeling Individual Trajectories and Incentives in Gamified Techno-social Environments

Code, algorithms, and tools

GEM: A Python library for Graph Embedding Methods

The Python Data Scientist Toolbox!

CONCLUDE: A Fast Community Detection Algorithm for Large-Scale Networks

WERW-Kpath: A Weighting Algorithm for Large-Scale Networks based on Random Walks

Scholar LinkedIn Twitter

Alma Mater Studiorum

UniMe University of Messina
TU Wien Vienna University of Technology
Royal Holloway Royal Holloway, University of London
Indiana University Indiana University
USC University of Southern California

Pages

  • COSINE Project
  • Data Science for Communication & Social Networks
  • Data Science for Social Systems
  • Datasets
  • Home
  • Media Coverage
  • Publications
  • Resources
    • Community Detection
    • Kpath Network Centrality
    • MITIGATE Project
    • Python Data Scientist Toolbox

Recent Posts

  • Twitter bots for good, and information contagion!
  • Diffusion of ISIS propaganda on Twitter
  • #MacronLeaks, bots, and the 2017 French election
  • Millions of social bots invaded Twitter!
  • Complex System Society 2016 Junior Scientific Award!

Contact

Emilio Ferrara, Ph.D.
Associate Professor
Dept. of Computer Science, & Annenberg School for Communication
Research Team Leader
Information Sciences Institute, &
Principal Investigator
Machine Intelligence & Data Science
University of Southern California
(310)448-8661
emiliofe@usc.edu
ferrarae@isi.edu
USC Page / ISI Page / Lab page

My Twitter: @emilio__ferrara

@emilio__ferrara

  • Thanks to the indefatigable @thatmchen, tomorrow we are pushing out what we believe will be an invaluable resource… https://t.co/g7eJflpQpN
  • @CAIS_USC @BDilkina @EricRicePhD @USCViterbi @CSatUSC @uscsocialwork Congrats!
  • @CMastication Even worse, their analysis of Python is kind of bogus, they don’t even use scientific libraries like… https://t.co/LoUaGoqQjk
  • @klts0 @svscarpino Yeah, use Python :-) scipy.sparse.linalg.inv(x)
  • @JurgenPfeffer @Google In some regard we did: https://t.co/9q4pQ5JLny the version under review has more results in… https://t.co/0CqDtzc8xT
The Rise of Social Bots
The History of Digital Spam
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