This Sunday, I will be out of town for ICDM conference held in Miami, FL.
I will present my paper:
Uncovering Groups via Heterogeneous Interaction Analysis.
This work addresses the community detection problem when multiple different types of interactions are presented between the same set of users.
A more general case is that users registered at different social media sites. Can we somehow uncover the hidden community structure?
We show that using an integration based on structural features is more robust. For evaluation, I proposed a simple cross-dimension network validation scheme. Similar to cross validation. This could be used as a simple rule for evaluation in the future.
Of course, there are many interesting directions to pursue in the future. One important aspect is that some of the dimensions are noisy. Is it possible to identify them? Is this the same as tensor decomposition?
Online Talks on Accessible Theorems!
-
Bogdan Grechuk has written a book Landscapes of 21st Century Mathematics
that came out in 2021. There is a revised version coming out soon. The
theme is th...
No comments:
Post a Comment