I guess the question to ask is, what is the most natural graph underlying a blog. I think it is the graph of internal references. Here’s the ribbonfarm graph.https://www.ribbonfarm.com/2019/03/18/elderblog-sutra-5/ …
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The key tension in a blog is between the irreversibility of the log stream in time and the evolving internal reference structure. There is a natural asymmetry as old posts don’t get updated to point to future posts that reference them.
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I think codebase evolution on git has a similar natural structure. The “diff” maps to the “post” and “parent version” to “backlink” Maybe pull request = comment?
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The blogchain concept is something like an attempt to jury-rig an explicit graph structure as
@tomcritchlow pointed out yesterday, but still with temporality as strictly dominant organizing principle. The basic DAG must be an approximate partial temporal order. Cycles are add-onsShow this thread
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I would very much like to walk a directed graph of content in the steps of people I could choose to follow
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I tag documents, graph the concurrent tags as possible relations, then each year I cluster the tags and see how the clusters change. Also can add your own concept maps, one by one as you identify relationships. Then you have a bottom up and a top down view working together.
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Something like Named Entity Recognition plus semantics to allow better understanding of content than tagging/folksonomies provide, especially in terms of discovery of external relationships without additional work.
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@doriantaylor has some additional insight on this, if I am reading him correctly.
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This is a low key dream of mine. Somewhere between an audio book and a comic book.
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Feel like writing a crime noir on Roam
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