Network Science - DCC/FCUP

Date	Class	Description
13/02	#01 and #02	Course Overview Introduction and Motivation Fundamental Graph Concepts
27/02	#03 and #04	Measuring Graphs and Results on Real Networks Erdös-Renyi Random Graph Model Watts–Strogatz Small-World Model
06/03	#05 and #06	Power Laws and the Preferential Attachment Model Node Centrality
13/03	#07 and #08	Link Analysis Graph Visualization and Exploration with Gephi Presenting Homework #01
20/03	#09 and #10	Structural Roles and Community Discovery Supporting Homework #01
27/03	#11 and #12	NetworkX Package Subgraph Patterns Supporting Homework #01
17/04	#13 and #14	Diffusion and Cascading Behavior: Decision Based Models Diffusion and Cascading Behavior: Probabilistic Models 1 Presenting Homework #02
24/04	#15 and #16	Diffusion and Cascading Behavior: Probabilistic Models 2 Network Construction I Supporting Homework #02
15/05	#17 and #18	Network Construction II Goals and Preparation for the Test Preparing the Project
22/05	#19 and #20	Written Test
29/05	#21 and #22	Supporting the Project

Network Science
(CC4063 / CC4095)

Computer Science Department Faculty of Sciences of the University of Porto
Network Science (CC4063 / CC4095)
2022/2023 Edition