About important nodes in a network and the Katz measure.
Orbifold B.V.
Leuven, Belgium (Europe)
info@orbifold.net
orbifold.net
Visualize big networks within seconds with Cosmograph. Halfway art and science, uses your GPU to speed up force-directed layout. With timeline and graph analytic filtering. And yes, open source. https://t.co/NfTrbKSsgj #Graphs #DataViz https://t.co/Y2jdU6Zx9S
Codon by @exaloop , a high-performance Python compiler that compiles to native machine code without any runtime overhead. Speedups are on the order of 10-100xor more, on a single thread. Codon's performance is typically on par with that of C/C++. https://t.co/g00nZsyR64 #python https://t.co/KbeSpO8IYw
Trillion edges benchmark: new world record beyond 100TB by @TigerGraphDB featuring AMD based Amazon EC2 instances. https://t.co/65sp9zkwPY #GraphDatabase https://t.co/d9BVCsOzem
Watch this space for an updated PowerBI widget based on @yworks. In 5 years since v1 it's easier to create and more powerful (Power Apps, Python & R integration...). Developing graph visualization in @MSPowerBI is so much easier and more fun than Tableau. https://t.co/XOQvZc9FbH https://t.co/iQ0I6n7EOi
The graph of primes exhibits some striking patterns and anomalies, both topologically and in its centrality measures.Can #GraphMachineLearning help here? Based on research with Soumya Jyoti Banerjee https://t.co/MyHBXCcfk6 #graphs https://t.co/RKpVtkGGgs
It takes now less than 100 lines of code to talk to your Neo4j graph (see attached gist). This works with any database really. I used a large biomed graph but this is also arbitrary. Uses GPT3, not ChatGPT. https://t.co/vBeGneS0FO @neo4j #graphs #NLU https://t.co/WTuh8qt81r
JanusGraph, a Gremlin-first #GraphDatabase has a Cypher-for-Gremlin adapter enabling property #Graphs. @TSawyerSoftware has explicit visualization/analytics support. Also check the @Linkurious Ogma dataviz https://t.co/qWF36TbbSp https://t.co/qJYhhnsk93 https://t.co/cwTXhpl8u0 https://t.co/GSkeANqPCC
Here's the real reason why graphs are everywhere. Category Theory is the maths of mathematics and it effectively embodies the idea that #graphs can describe anything and everything. The Wolfram stack excels in this sorta stuff. @WolframResearch https://t.co/UG8rQZlQu4 https://t.co/gLpZeDlIxA