We're still working on our article for Network Data. Please check back soon for more information.
5lf3ia|
Find a path to becoming a Network Data. Learn more at:
OpenCourser.com/topic/5lf3ia/network
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Network Data.
Provides a comprehensive overview of network data analysis, covering topics such as data collection, network visualization, and statistical analysis. It valuable resource for researchers and students interested in learning more about this field.
Provides a comprehensive overview of network analysis, covering topics such as network structure, network dynamics, and network measurement. It valuable resource for researchers and students interested in learning more about this field.
Provides a comprehensive overview of network science, covering topics such as network structure, network dynamics, and network models. It valuable resource for researchers and students interested in learning more about this field.
Provides a comprehensive overview of complex networks, covering topics such as network structure, network dynamics, and network models. It valuable resource for researchers and students interested in learning more about this field.
Focuses on the application of data mining techniques to network data. It covers topics such as link prediction, community detection, and anomaly detection. It valuable resource for researchers and students interested in learning more about this field.
Provides a comprehensive overview of network analysis for applied researchers, covering topics such as data collection, network visualization, and network analysis. It valuable resource for researchers and students interested in learning more about this field.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/5lf3ia/network
Save
