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Network Analysis in R 学习笔记

  • 4 hours
  • 12 Videos
  • 50 Exercises
  • 1,981 Participants
  • 4,000 XP

  • visualize network data
  • You’ll use the igraph package to create networks from edgelists and adjacency matrices.
  • You’ll also learn how to plot networks and their attributes.
  • Then, you’ll learn how to identify important vertices using measures like
  • betweenness and degree. 这部分我不知道
  • Next, this course covers network structures, including triangles and
  • cliques.
  • Next, you’ll learn how to identify special relationships between vertices, using metrics like assortativity.
  • Finally, you’ll see how to create interactive network plots using threejs. 好多新内容。

James Curley | DataCamp

Associate Professor at UT Austin James P. Curley is an Associate Professor in the Department of Psychology at University of Texas Austin in the Behavioral Neuroscience division. He received a Ph.D. from Cambridge University in 2003 and completed post-doctoral research at Cambridge University and Columbia University before becoming an Assistant Professor of Psychology at Columbia University in 2012. Dr. Curley’s current research interests are in studying the social dynamics of animals. Dr. Curley teaches several undergraduate and graduate courses, including R programming for Behavioral Scientists and Statistics & Research Design.

学术水平不错。