📕 Read pages 177-231 of 288 of Linked: The New Science Of Networks by Albert-László Barabási

📕 Read pages 177-231 of 288 to finish Linked: The New Science Of Networks by Albert-László Barabási

Some generally solid overview of the earlier days of network science. Barabasi is a pretty solid general science writer and makes most of his ideas relatively clear. I’m hoping this is a good intro to some of the background for his new textbook on network science.

While some pieces and ideas seem dated, this was generally enjoyable without getting too deep into the weeds. Naturally there are many sections that could stand for updates, even just a decade or more later.

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Chris Aldrich

I'm a biomedical and electrical engineer with interests in information theory, complexity, evolution, genetics, signal processing, IndieWeb, theoretical mathematics, and big history. I'm also a talent manager-producer-publisher in the entertainment industry with expertise in representation, distribution, finance, production, content delivery, and new media.

One thought on “📕 Read pages 177-231 of 288 of Linked: The New Science Of Networks by Albert-László Barabási”

  1. Replied to Watched E-learning 3.0 Graph #el30 by Greg McVerry (quickthoughts.jgregorymcverry.com)

    Thinking about knowledge as a graph. #el30
    In social analysis strength of connection represents authority?
    Is same true of knowledge? The more connections the truthier something is. 

    Interesting. I got a refback from this post to my WordPress and IndieWeb presentation. Did you have a link to it on the page originally Greg and then delete it, or is it a spurious glitch? Very curious…
    For a more on-topic comment, have you read Richard Dawkins‘ original conception of the neologism “meme” in his book The Selfish Gene (Oxford, 1976)? He’s got some interesting early examples that touch on connections and spread of information.
    I’ve also recently finished reading Linked: The New Science of Networks by Albert-László Barabási which also has some interesting pieces and underlying theory (without all the heavy math) which are broadly applicable to some of these questions.
     
    Syndicated copies to:

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