Mining evolving large-scale networks

Date Thursday 2 June 2022
Time 11am - 12pm
Where WMS, MSB 1.36 & 1.37
Presenter Professor João Gama
Contact Renae Dixon
Contact email
Admission Cost Free

The Artificial Intelligence Institute and Waikato Management School is pleased to invite you to a collaborative seminar on Thursday, 02 June @ 11am, where Professor João Gama will share his cutting-edge research in artificial intelligence and evolving networks.

Social networks are live entities that exhibit dynamic behavior over time. Phone calls, emails, SMS, etc., define implicit, huge, and high-speed networks. 

Professor Gama will discuss three case studies and present open issues and challenges that emerge when analysing high-speed and large networks.

The first case study presents a method to identify community trajectories and events on communities (growing, shrinking, merges, and splits) and explain those events in terms of the topology of the evolving network—the second use case studies sampling strategies from high-speed evolving networks. In the third case study, we monitor the evolution of communities in a network of hashtags co-occurrence in social media.

This event is free and open to all University staff and students.