Introduction to centrality measures and partitioning techniques in graphs

James Phillips, Consul Lead at HashiCorp

A systematic overview of Consul's different network models, how they work, what kind of use cases they serve, and how prepared queries can help provide glue to keep service discovery simple across all.

For information…

Complex Network Analysis studies how to recognise, describe, visualise and analyse complex networks. The most prominent way of analysing…

Chapter 4. Cliques, Clusters and Components In the previous chapter, we mainly talked about properties of individuals in a social network. In this chapter, we start working with progressively larger … - Selection from Social Network Analysis for Startups…

A small introduction to complex network analysis and the tools used.

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For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2XQKRsU

Jure Leskovec
Computer Science, PhD

Graph machine learning can be applied in many scenarios, including the tasks of node…

Cells are complex and dynamic systems able to modify their behaviour and their morphology in response to internal or environment-induced cues. Such response is achieved thanks to enzymatic reactions and physical interactions that occur between cellular components…

Pedro Ribeiro
Assistant Professor at the University of Porto

The Methods Matter Podcast - from Dementia Researcher & the National Centre for Research Methods. A podcast for people who don't know much about methods...those who do, and those who just want to find news and clever ways to use them in their research.

In…

Motif, null model, modularity, randomizing networks, bi-fan, feed-forward loop, bi-parallel, feed-back loop, motif clusters, subgraph sampling