Dr. Jerry Smith's article explores using social network analysis and percolation theory to detect "left-of-X" events—precursors to major disruptions. The analysis focuses on identifying vulnerabilities within networks by examining node centrality, community structures, and the cascading effects of removing nodes or connections. The goal is early identification of instability to enable timely intervention and prevent catastrophic outcomes. The article uses network science concepts like degree, betweenness, and eigenvector centrality to reveal hidden power dynamics and influential actors. Several academic references support the theoretical framework.

Left-of-X Event Detection

Happy Birthday to Dream Hack! It's been a year since Sara started her investment journey and A LOT have happened during that year, both globally and personally. Hear her own reflections and Michaelas analysis on the status with some good feedback to take action to. Continuing on with a captivating interview with Reach for Change country manager, Andrea Råsberg about their important work with social entrepreneurship and your chance to discover something about yourself?!

242. Reach For Change on social entrepreneurship & 1 year anniversary of Dream Hack

In-Depth Explorations of Neuroscience-Inspired Architectures Revolutionizing AI.

Feminvest is a growing international community ensuring women own more.

New tracks tagged #Analyses