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Grant Award View - GA350909
Learning the meso-scale organization of complex networks
GA ID:
GA350909
Agency:
Australian Research Council
Approval Date:
12-Dec-2023
Publish Date:
20-Dec-2023
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jan-2024 to 31-Dec-2026
Value (AUD):
$503,877.00
(GST inclusive where applicable)
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 23/24 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Learning the meso-scale organization of complex networks
Purpose:
This project aims to model and learn the organization of online social networks. We will combine mathematical models, inference, and domain knowledge from computational social sciences to obtain interpretable descriptions of the role groups of users play in the network. The expected outcomes are new mathematical models and computational methods that learn from data how to best decompose a complex network into building blocks and their interactions, linking connectivity to function. This should provide benefits to industries and policy makers interested in how information spreads in social media, including the critical questions of understanding the mechanisms contributing to political polarization and fragmentation.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2024
Internal Reference ID:
DP24 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Sydney
Recipient ABN:
15 211 513 464
Grant Recipient Location
Suburb:
FOREST LODGE
Town/City:
FOREST LODGE
Postcode:
2037
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2037
Country:
AUSTRALIA