To my own point (may be unrelated to point of paper), in academia, I suspect being densely networked within a discipline increases your chances of finishing a PhD, getting a job, getting tenure etc. But being interdisciplinarily densely networked probably worsens chances.
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In the US, I suspect being densely networked within a smaller city and/or sectoral oligarch network gets you a winning GOP ticket more easily, gerrymandered for your convenience. Big city/global network or Pan-sectoral wealth connections (banking etc) gets you Democratic ticket.
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No, there is no consideration of cross-city links.
'apolitical' local associations (clubs & societies) in small cities were actively targeted by Nazi Party in its early days to recruit local 'opinion leaders' & then co-opt thier existing social capital to recruit members. -
In cities with higher density of these existing social clusters, there was faster membership growth for the Nazi party. 1. Mainly petty burgeoise (middle class + small-business) & not the blue-collar workers, gathered regularly in these spaces. That was the target demographic.
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To be more precise towards your question: the paper investigated the correlation with the overall density of associations in a city. Unsurprisingly, cross-association links are attributed in anecdotal discussion for enabling faster recruitment but no data analysis on that.
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I’d like to know if they distinguish in-small-world density from overall density including weak/non-local links. But am feeling too lazy to actually read... cc