Balancing Authority and Diversity in Influential Node Mining

arXiv: Artificial Intelligence, 2019.

Cited by: 0|Bibtex|Views12|

Abstract:

Diversity is a crucial criterion in many ranking and mining tasks. In this paper, we study how to incorporate node diversity into influence maximization (IM). We consider diversity as a reverse measure of the average similarity between selected nodes, which can be specified using node embedding or community detection results. Our goal is ...More

Code:

Data:

Your rating :
0

 

Tags
Comments