Home > Seminars > Joseph Crawford - Discovering Important Patterns Across and Within Networks via Network Alignment and Clustering

Joseph Crawford - Discovering Important Patterns Across and Within Networks via Network Alignment and Clustering


4/25/2019 at 3:30PM


4/25/2019 at 4:45PM


126 Debartolo


College of Engineering close button

Tijana Milenkovic

Tijana Milenkovic

VIEW FULL PROFILE Email: tmilenko@nd.edu
Phone: 574-631-8975
Website: http://www.nd.edu/~tmilenko/
Office: 381 Fitzpatrick Hall


College of Engineering Associate Professor
I am the director of the Complex Networks Lab (http://www.cse.nd.edu/~cone/). My research interests are as follows. Complex networks and network mining: developing graph theoretic, mathematical, and computational algorithms for efficient extraction of function from topology of complex ...
Click for more information about Tijana
Add to calendar:
iCal vCal

Networks (or graphs) can be used to model real-world phenomena in a variety of domains. For example, in the biological domain, they can be used to represent protein-protein interactions, and in the social domain, they can be used to represent interactions between people. There exist many computational strategies for network analysis, each answering a different applied question. Two of the most popular computational strategies are network alignment and network clustering, as both strategies are able to extract important structures that are “hidden" across and within networks, respectively. The discovery of important network structures is useful in many computational (e.g. link prediction) and applied (e.g., protein function prediction or targeted advertising) problems. Thus, in this talk, I will present several ways in which we have advanced the fields of network alignment and network clustering.

Seminar Speaker:

Joseph Crawford

Joseph Crawford

University of Notre Dame

I am a Ph. D. candidate in the computer science and engineering department and the University of Notre Dame. I obtained my Bachelor of Science degree in mathematics and computer science at Morehouse College in Atlanta Georgia. Currently, I am member of the Complex Networks (CoNe) Lab, and I am doing research under Dr. Tijana Milenkovic.  My research revolves around developing graph theoretical methods and computational strategies for networking mining, and applying these methods to real-world data.