Webinar: Analyzing Real-World Networks in Wolfram Language by Wolfram Research

Edit

About This Webinar

In this webinar, we will explore the ability of Wolfram Language to understand the structure of graphs—in particular, those that are organic and asymmetrical, such as social networks, coauthorship graphs or even the type of "real-life" interaction graph studied by epidemiologists.

We will show a few methods for detecting communities and central nodes in graphs (as well as define what that even means). We will also talk about homophily in social graphs and say something about why it seems like your friends have more friends than you. We will conclude by showing how we can analyze flow networks in Wolfram Language—letting us discover, for example, the peak bandwidth of an intranet or the cheapest way to disrupt a national transport network.

Agenda

Cliques and communities
Annotations and homophily
Vertex centrality
Maximum flow and minimum cut

Presenters

Wolfram Events Europe

Anthony Zupnik

Kernel Developer

First Name*

Last Name*

Your Email*

Country*

Organization

Job Title*

Which best describes you?*

I would like to sign up for Wolfram News to stay up to date with news on the latest technology, events and products from Wolfram.

Are you a Mathematica or Wolfram Language user?*