Betweeness

"The clearest way into the Universe is through a forest wilderness," wrote John Muir (in a posthumous collection of his notes called John of the Mountains).

For years I’ve heard that saying of Muir’s echo in my mind. Only occasionally would the question creep in–yes, but why? Why does a wild forest take us into the universe more surely than the open sea? Or even more than a vast metropolis teaming with all sorts and types of people?

This month in Orion the critic and novelist John Berger takes a crack at that implicit question in an essay called Between Forests. His essay, which takes the forest photographs of Czech photographer Jitka Hanzlová as a point of departure, is unfortunately not posted, but just a glance at one of Hanzlová’s mysterious photographs from her Forest series gets across Berger’s essential point, which is that they have been taken "from the inside" of the forest. He writes:

[Audience, by Jitka Hanzlová]

Audience_by_jitka_hanzlova

2 thoughts on “Betweeness

  1. Good site! I really love how it is simple on my eyes and the data are well written. I am wondering how I might be notified when a new post has been made.

    Like

  2. Hi,

    In a first sight I also thought that the problem was that the node was
    not in the graph, but after a closer look I think that there is a bug
    in load_centrality. When computing it for only one node in a digraph
    that is not strongly connected, NetworkX throws an error if the node
    of interest is not in the dictionary `ubetween` returned by the
    _node_betweenness helper function. Only nodes reachable from source
    are in that dictionary. I think that the following pull request fixes
    the bug:

    https://github.com/networkx/networkx/pull/760

    Salut!

    Like

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