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  1. Embed this notice
    T_X (t_x@chaos.social)'s status on Sunday, 15-Dec-2024 03:32:53 JST T_X T_X
    in reply to
    • Cory Doctorow
    • netzpolitik.org
    • Markus Reuter

    And the @netzpolitik_feed article by @markusreuter (in German) is this one on the #Twitter / #X exodus (though I think they mixed up exponential vs. squared growth, hopefully they'll correct it):
    https://netzpolitik.org/2024/stirb-langsam-warum-es-mit-x-nun-zu-ende-geht/
    Title: "Die slowly / Die hard - Why X is coming to an end".
    This article also mentions the #Enshittification term coined by @pluralistic as one reason for the #Xodus.

    In conversation about a year ago from chaos.social permalink

    Attachments

    1. Domain not in remote thumbnail source whitelist: cdn.netzpolitik.org
      Warum es mit X nun zu Ende geht
      from Markus Reuter
      Soziale Netzwerke sind wegen des Netzwerkeffekts nur schwer totzukriegen. Doch dem Twitter-Nachfolger X von Elon Musk droht nun genau das. Wie konnte das passieren? Welche Plattformen könnten die Nachfolge antreten? Eine Analyse über Aufstieg und Fall sozialer Netzwerke.
    • Embed this notice
      T_X (t_x@chaos.social)'s status on Sunday, 15-Dec-2024 03:32:55 JST T_X T_X
      • netzpolitik.org

      Have heard of Metcalfe's law and Reed's law for the first time thanks to a @netzpolitik_feed article. Which reaffirms my believe + efforts to get #multicast routing between #Freifunk communities working.
      The Metalcafe's law says a network grows by value/importance proportional to the square and had a classic telephone network in mind.
      For multicast I think Reed's law seems more fitting, which considers all potential subgroups, with an exponential value/importance.
      https://en.wikipedia.org/wiki/Reed%27s_law

      In conversation about a year ago permalink

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      1. No result found on File_thumbnail lookup.
        Reed's law
        Reed's law is the assertion of David P. Reed that the utility of large networks, particularly social networks, can scale exponentially with the size of the network. The reason for this is that the number of possible sub-groups of network participants is 2N − N − 1, where N is the number of participants. This grows much more rapidly than either the number of participants, N, or the number of possible pair connections, N(N − 1)/2 (which follows Metcalfe's law). so that even if the utility of groups available to be joined is very small on a per-group basis, eventually the network effect of potential group membership can dominate the overall economics of the system. Derivation Given a set A of N people, it has 2N possible subsets. This is not difficult to see, since we can form each possible subset by simply choosing for each element of A one of two possibilities: whether to include that element, or not. However, this includes the (one) empty set, and N singletons, which are not properly...
      Cory Doctorow repeated this.

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