Wolfram | Analyzing Real-World Networks in Wolfram Language @WolframResearch | Uploaded July 2024 | Updated October 2024, 14 hours ago.
During the session we will explore a range of graph theory techniques that can extract insights from network data. Using examples from social networks, we will find the most influential people and uncover hidden sub-communities. We will also compute the maximum flow of a railway network and discover its vulnerabilities.
#WolframLanguage #DataAnalysis #GraphTheory #DataScience
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During the session we will explore a range of graph theory techniques that can extract insights from network data. Using examples from social networks, we will find the most influential people and uncover hidden sub-communities. We will also compute the maximum flow of a railway network and discover its vulnerabilities.
#WolframLanguage #DataAnalysis #GraphTheory #DataScience
Stay up-to-date with our WolframU events.
Wolfram Events Page: events.wolfram.com
YouTube: youtube.com/@wolframu
LinkedIn: linkedin.com/company/wolfram-u
Follow us on our official social media channels:
X: twitter.com/WolframResearch
Facebook: facebook.com/wolframresearch
Instagram: instagram.com/wolframresearch
LinkedIn: linkedin.com/company/wolfram-research/mycompany
Contribute to the official Wolfram Community:
community.wolfram.com