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The Exploit: A Theory of Networks - asounder

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Coda 157<br />

ignored, and the network is imagined nonetheless. Accidents, failures,<br />

and exploits, both imaginative and material, are part and parcel <strong>of</strong><br />

any network. <strong>The</strong>se are strange and <strong>of</strong>ten bewildering kinds <strong>of</strong> accidents<br />

and failures—the accidents that are prescribed by the design,<br />

the failures that indicate perfect operation.<br />

<strong>Networks</strong> are elemental, in the sense that their dynamics operate<br />

at levels “above” and “below” that <strong>of</strong> the human subject. <strong>The</strong> elemental<br />

is this ambient aspect <strong>of</strong> networks, this environmental aspect—<br />

all the things that we as individuated human subjects or groups do<br />

not directly control or manipulate. <strong>The</strong> elemental is not “the natural,”<br />

however (a concept that we do not understand). <strong>The</strong> elemental<br />

concerns the variables and variability <strong>of</strong> scaling, from the micro level<br />

to the macro, the ways in which a network phenomenon can suddenly<br />

contract, with the most local action becoming a global pattern,<br />

and vice versa. <strong>The</strong> elemental requires us to elaborate an entire climatology<br />

<strong>of</strong> thought.<br />

<strong>The</strong> unhuman aspects <strong>of</strong> networks challenge us to think in an elemental<br />

fashion. <strong>The</strong> elemental is, in this sense, the most basic and the most complex<br />

expression <strong>of</strong> a network.<br />

As we’ve suggested in this book, networks involve a shift in scale,<br />

one in which the central concern is no longer the action <strong>of</strong> individuated<br />

agents or nodes in the network. Instead what matters more and<br />

more is the very distribution and dispersal <strong>of</strong> action throughout the network,<br />

a dispersal that would ask us to define networks less in terms <strong>of</strong><br />

the nodes and more in terms <strong>of</strong> the edges—or even in terms other than<br />

the entire, overly spatialized dichotomy <strong>of</strong> nodes and edges altogether.<br />

In a sense, therefore, our understanding <strong>of</strong> networks is all - too -<br />

human . ..

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