UW


Michael Fire

Data Scientist

As the recipient of the Moore/Sloan Data Science Fellowship and of the WRF Innovation Postdoctoral Fellow in Data Science, I am currently engaged in postdoctoral research at the Computer Science & Engineering Department and at the eScience Institute at the University of Washington, under the mentorship of Carlos Guestrin and Joshua Blumenstock. I hold an PhD (summa cum laude) in Information System Engineering from BGU. For excellence in my PhD studies, I won the Kreitman Prize. My main research interests lie in data science, social network analysis, and security and privacy. I also have gained extensive hands-on experience as a data scientist working for several companies and organizations.
  • Email: fire [at] cs.washington.edu
  • Address: Paul G. Allen Center for Computer Science & Engineering, 185 Stevens Way, Seattle, WA 98195

Selected Project Videos

Selected Research Projects

  • Network Dynamics
  • Computational Genealogy
  • Improving Road Safety
  • Social Privacy Protector
  • Organization Mining
  • Predicting Students’ Exam Scores.
  • Guided Socialbots
  • The Social Amplifier

Publications

Selected Publications
  • Michael Fire and Carlos Guestrin, “The Rise and Fall of Network Stars,” 2017.      
  • Michael Fire, Roy Goldschmidt, and Yuval Elovici, "Online Social Networks Threats and Solutions," IEEE Communications Surveys & Tutorials, Volume 16, Issue 4, 2014.
  • Michael Fire and Rami Puzis, "Organization Mining Using Online Social Networks," Springer Networks and Spatial Economics (NETS), 2015.  
  • Michael Fire, Lena Tenenboim, Rami Puzis, Ofrit Lesser, Lior Rokach, and Yuval Elovici, "Computationally Efficient Link Prediction in a Variety of Social Networks," ACM Transactions on Intelligent Systems and Technology, Volume 5, Article 10, 2013.   1  2  3 
  • Yaniv Altshuler, Michael Fire, Erez Shmueli, Yuval Elovici, Alfred Bruckstein, Alex (Sandy) Pentland, and David Lazer, "The Social Amplifier – Reaction of Human Communities to Emergencies," Journal of Statistical Physics, Volume 152, Number 3, 2013.
My co-authorship social network (February 2016).
Journals
  • Olga Peled, Michael Fire, Lior Rokach, and Yuval Elovici, "Matching Entities across Online Social Networks," Elsevier Neurocomputing, 2016 (In press).
  • Michael Fire and Rami Puzis, "Organization Mining using Online Social Networks," Springer Networks and Spatial Economics (NETS), 2015.    
  • Michael Fire and Yuval Elovici, “Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population,” ACM Transactions on Intelligent Systems and Technology, Volume 6, Article 2, 2015.  
  • Michael Fire, Roy Goldschmidt, and Yuval Elovici, "Online Social Networks Threats and Solutions," IEEE Communications Surveys & Tutorials, Volume 16, Issue 4, 2014.
  • Aviad Elishar, Michael Fire, Dima Kagan, and Yuval Elovici, “Guided Socialbots: Infiltrating User's Friends List," AI Communications , Volume 29, Number 1, 2014.
  • Michael Fire, Dima Kagan, Aviad Elishar, and Yuval Elovici, "Friends or Foe? Fake Profile Identification in Online Social Networks," Springer Journal of Social Network Analysis and Mining (SNAM), Volume 4, Number 1, 2014.  
  • Michael Fire, Lena Tenenboim, Rami Puzis, Ofrit Lesser, Lior Rokach, and Yuval Elovici, "Computationally Efficient Link Prediction in a Variety of Social Networks," ACM Transactions on Intelligent Systems and Technology, Volume 5, Article 10, 2013.   1  2  3 
  • Yuval Elovici, Michael Fire, Amir Herzberg, and Haya Shulman, "Ethical Considerations when Employing Fake Identities in Online Social Networks for Research," Springer Journal of Science and Engineering Ethics (JSEE), Volume 20, Number 4, 2013.
  • Yaniv Altshuler, Michael Fire, Erez Shmueli, Yuval Elovici, Alfred Bruckstein, Alex (Sandy) Pentland, and David Lazer, "The Social Amplifier – Reaction of Human Communities to Emergencies," Journal of Statistical Physics, Volume 152, Number 3, 2013.
  • Michael Fire, Gilad Katz, and Yuval Elovici, "Strangers Intrusion Detection – Detecting Spammers and Fake Profiles in Social Networks Based on Topology Anomalies," ASE Human Journal, 2012.
Conferences
Book Chapters
Workshop & Poster Papers
  • Aviad Elishar, Michael Fire, Dima Kagan, and Yuval Elovici, "Homing Socialbots: Intrusion on a Specific Organization's Employee Using Socialbots," International Workshop on Social Network Analysis in Applications (SNAA), co-located with ASONAM 2013, Niagara Falls, Canada, August 2013.
  • Guy Rapaport, Dima Kagan, Michael Fire, and Keren Fruchter "Unfolding Discussions in Social Media," The Second Data Mining for Business Intelligence Conference (DMBI), 2014 (Poster).
  • Yaniv Altshuler, Nadav Aharony, Michael Fire, Yuval Elovici, and Alex ("Sandy") Pentland, "Incremental Learning with Accuracy Prediction of Social and Individual Properties from Mobile-Phone Data," First International Workshop on Wide Spectrum Social Signal Processing (WS³P), co-located with SocialCom 2012, Amsterdam, The Netherlands, September 2012.
Technical Reports
  • Michael Fire and Carlos Guestrin, “The Rise and Fall of Network Stars," 2017.      
  • Dima Kagan, Michael Fire, and Yuval Elovici, “Generic Anomalous Vertices Detection Utilizing Link Prediction Algorithm,” 2017.
  • Michael Fire, Thomas Chesney, and Yuval Elovici, "Quantitative Analysis of Genealogy Using Digitised Family Trees," 2014.      
  • Thomas Chesney and Michael Fire, "Diffusion through networks of heterogenous nodes in a population characterized by homophily," 2014
  • Michael Fire, “Social Network Data Analytics using Machine Learning and Graph Theory Algorithms,” Ph.D. dissertation, 2013
  • Michael Fire “Statistics on Wreath Products,” M.Sc. Thesis, 2004.
Patents
  • Michael Fire, Rami Puzis, and Yuval Elovici, “System and Method For Determining by an External Entity the Human Hierarchical Structure of An Organization, Using Public Social Networks.”
  • Michael Fire, Gilad Katz, and Yuval Elovici, “Method for Detecting Spammers and Fake Profiles in Social Networks” (pending patent).
  • Michael Fire, Dima Kagan, Aviad Elishar, and Yuval Elovici, “Method for Protecting User Privacy in Social Networks” (pending patent).
  • Michael Fire and Johnathan Schler, “A System and Method for Improving Image-Based Advertisement Success” (pending patent registration no. 61/614,006).

Downloadable Datasets

Here you can download datasets created as a result of the studies presented above:

Directed Social Networks

AnyBeat

  • Nodes Number:  12,645
  • Edges Number: 67,054
  • Year: 2012
AnyBeat

Academia.edu

  • Nodes Number:  200,169
  • Edges Number: 1,398,063
  • Year: 2013
Academia.edu

Google+

  • Nodes Number: 211,187
  • Edges Number: 1,506,896
  • Year: 2013
Google+
Directed Multigraph Social Networks

Students’ Cooperation

  • Nodes Number: 185
  • Edges Number: 360
  • Year: 2013
Students’ Cooperation Social Network

WikiTree

  • Nodes Number: 1,382,751
  • Edges Number: 9,192,212
  • Year: 2012
WikiTree
Undirected Social Networks

The Marker Cafe

  • Nodes Number: 69,411
  • Edges Number: 1,644,848
  • Year: 2011
The Marker Cafe

Organizations

  • Networks Number: 6
  • Nodes Number: from 500 to 50,000
  • Year: 2013
Organizations' Social Networks
Social Network Evolution

Reddit

  • Networks Number: 20,128
  • Year: 2017
Dynamic Networks
Anomalous Vertices Detection
Time Series

Facebook Applications Installation

  • Records Number: 44,514
  • Year: 2014
Facebook Applications

First Name
Distributions

  • Number of Names: 12,227
  • Year: 2014
First Name Distributions

Network Vertex Join Curves

  • Number of Curves: 38,129
  • Year: 2017
Subreddit User Arrival Curves

Code Tutorials

Here you can find code tutorials that I have written in order to assist other researchers and software developers to become familiar with the field of data science:

Press

Research Title Date Publication
Organization Mining using Online Social Networks April 2013 NY TIMES
April 2013 Tecnoetica
March 2013 MIT Technology Review
Social Amplifier August 2013 Academia.edu Blog
July 2013 The Jerusalem Post
July 2013 IEEE Spectrum
Friends or Foe? Fake Profile Identification in Online Social Networks March 2013 The Connectivist
August 2012 Israel21c
July 2012 Examiner
July 2012 Facerooks
July 2012 NBC News
July 2012 NDTV
July 2012 Tech2
July 2012 Tech News Daily
July 2012 Think Digit
July 2012 The Times of Israel
Predicting Students' Exam Scores by Analyzing Social Network Data March 2014 Academia.edu Blog
December 2012 CTV News
December 2012 NoCamels
December 2012 NRG Maariv
December 2012 Science Daily
December 2012 Phys.ORG
Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population December 2013 The Physics arXiv Blog
Data Mining Opportunities in Geosocial Networks for Improving Road Safety January 2013 IBN
January 2013 JUF News
January 2013 The Times of Israel
January 2013 UPI
January 2013 Yahoo! India News
December 2012 Haaretz
December 2012 Globes
December 2012 The Jerusalem Post