The Rivalrous and the Anti-Rivalrous | Deep Code Experiment: Episode 2
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The Rivalrous and the Anti-Rivalrous | Deep Code Experiment: Episode 2
There are all sorts of networks. If you imagine all of us as nodes and the information we receive from each other via edges, then the shape of the network defines the type of information that spreads.
Substack • Seeing Like a Network
One way to think about these technology platforms is to think of any complex network as having four fundamental components:-Nodes (the objects in the graph, e.g., people, things)-Data/content (the thing being shared between the nodes, e.g., tweet)-Edges with rules (e.g., bidirectional “friend”, single-directional “follow”)-Jumping functions,... See more
Matthew Hartman • Complexity in Social Networks
It is not the amount of knowledge that makes a brain. It is not even the distribution of knowledge. It is the interconnectedness. When Wells used the word network—a word he liked very much—it retained its original, physical meaning for him, as it would for anyone in his time. He visualized threads or wires interlacing: “A network of marvellously
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