DANI published in Scientific Reports
Our network inference method that preserves the topological structure of the recovered graph appeared in Scientific Reports.
DANI infers a social network from observed cascades while preserving the properties that make the recovered graph useful — modular structure, degree distribution, density and clustering coefficients — in linear time.
The paper is open access, and the implementation is on GitHub.
People: Maryam Ramezani
Related publication
DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property
Maryam Ramezani, Aryan Ahadinia, Erfan Farhadi, Hamid R. Rabiee
Scientific Reports|2024