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        Book Review: Huberman, 
        Bernardo A. (2001). The Laws of the Web: Patterns in the Ecology of Information. 
        MIT Press; ISBN: 0262083035 
        By Robert Malesko 
        January 19, 2002  
       Bernardo 
        A. Huberman, in the 2001 MIT Press release The Laws of The Web: Patterns 
        in the Ecology of Information tries to explain fundamental patterns that 
        have so far been noticed in web research. Much of this work deals with 
        complex mathematical formulas and notation, for example the following 
        equation: 
       ß 
        1 / n where ß = 1 
       
        To translate this, and other logical ideas from area-specific language 
        into plain English he uses simple examples, like the statistical samples 
        that show that on the web there are many small pages, and proportionally 
        fewer large sites. (This relationship, and a few others, is the concept 
        expressed by the above equation.) 
         
        Further studies that show Internet congestion comes and goes in patterns 
        of waves similar to those found proportions of sites. In practical terms 
        his work may save for an individual precious seconds downloading time 
        if one reloads a slow moving page approximately as frequently as one notes 
        a delay-the congestion will soon pass! 
         
        He keeps the tone and style light, but a brief mention of the game Six 
        Degrees of Kevin Bacon is about as entertaining as it gets. The discussion 
        goes only as deep as that of one formula can for such a disparate group 
        of study foci; these laws of the internet cannot yet accurately predict 
        what one individual-or even a small world-will accomplish contextually 
        through time. While the studies Huberman draws on make available general 
        patterns of use, these are trends that show over time, and with a great 
        number of instances. It does not serve to predict what an individual's 
        next click will be, or how long it will take. 
         
        It will, on the other hand, give a reader a sense of what kind of mileage 
        one can expect; let you know that what statistics are average, and for 
        comparison, what is outside the norm. The simplicity of this analytical 
        tool may easily draw premature dismissal. Though Huberman discusses only 
        three main cases, one could as easily discuss as many more. 
        The versatility of this model cannot be entirely attributed to Huberman; 
        he did, after all, use a similar approach as has already been tried (and 
        found useful) in statistical mechanics. In exchange, though, he saves 
        the reader the trouble of familiarizing themselves with that particular 
        field if they already aren't.  
         
        This book serves well enough as a brief and readable introduction to the 
        concepts encountered in studying web behavior. 
       
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