Dynamic Community Detection into Analyzing of Wildfires Events

Author(s):Show less -

Gouvea, Alessandra M. M. M. ; Vega-Oliveros, Didier A. ; Cotacallapa, Moshe ; Ferreira, Leonardo N. ; Macau, Elbert E. N. ; Quiles, Marcos G. ; Gervasi, O ; Murgante, B ; Misra, S ; Garau, C ; Blecic, I ; Taniar, D ; Apduhan, BO ; Rocha, AMAC ; Tarantino, E ; Torre, CM ; Karaca, Y

• Document type: Journal article
• Source: COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2020, PT I; v. 12249, p. 16-pg., 2020-01-01.

Abstract

The study and comprehension of complex systems are crucial intellectual and scientific challenges of the 21st century. In this scenario, network science has emerged as a mathematical tool to support the study of such systems. Examples include environmental processes such as the wildfires, which are known for their considerable impact on human life. However, there is a considerable lack of studies of wildfire from a network science perspective. Here, employing the chronological network concept-a temporal network where nodes are linked if two consecutive events occur between them-we investigate the information that dynamic community structures reveal about the wildfires' dynamics. Particularly, we explore a two-phase dynamic community detection approach, i.e., we applied the Louvain algorithm on a series of snapshots, and then we used the Jaccard similarity coefficient to match communities across adjacent snapshots. Experiments with the MODIS dataset of fire events in the Amazon basing were conducted. Our results show that the dynamic communities can reveal wildfire patterns observed throughout the year. (AU)

• FAPESP's process: 16/16291-2 - Characterizing time-varying networks: methods and applications
• Grantee: Marcos Gonçalves Quiles
• Support Opportunities: Scholarships abroad - Research
• FAPESP's process: 19/26283-5 - Learning visual clues of the passage of time
• Grantee: Didier Augusto Vega Oliveros
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 17/05831-9 - Analysis of climate indexes influence on wildfires using complex networks and data mining
• Grantee: Leonardo Nascimento Ferreira
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 19/00157-3 - Association and causality analyses between climate and wildfires using network science
• Grantee: Leonardo Nascimento Ferreira
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
• FAPESP's process: 15/50122-0 - Dynamic phenomena in complex networks: basics and applications
• Grantee: Elbert Einstein Nehrer Macau
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 16/23698-1 - Dynamical Processes in Complex Network based on Machine Learning
• Grantee: Didier Augusto Vega Oliveros
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 16/23642-6 - Characterization of Time-Varying Complex Networks
• Grantee: Alessandra Marli Maria Morais Gouvêa
• Support Opportunities: Scholarships in Brazil - Doctorate