<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yuri M. Zhukov</style></author><author><style face="normal" font="default" size="100%">Brandon M. Stewart</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Choosing Your Neighbors: Networks of Diffusion in International Relations</style></title><secondary-title><style face="normal" font="default" size="100%">International Studies Quarterly</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://onlinelibrary.wiley.com/doi/10.1111/isqu.12008/full</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">271-287</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;In examining the diffusion of social and political phenomena like regime transition, conflict,&lt;br&gt; and policy change, scholars routinely make choices about how proximity is defined and which&lt;br&gt; neighbors should be considered more important than others. Since each specification offers an&lt;br&gt; alternative view of the networks through which diffusion can take place, one's decision can exert&lt;br&gt; a significant influence on the magnitude and scope of estimated diffusion effects. This problem is&lt;br&gt; widely recognized, but is rarely the subject of direct analysis. In international relations research,&lt;br&gt; connectivity choices are usually ad hoc, driven more by data availability than by theoretically informed&lt;br&gt; decision criteria. We take a closer look at the assumptions behind these choices, and&lt;br&gt; propose a more systematic method to asses the structural similarity of two or more alternative&lt;br&gt; networks, and select one that most plausibly relates theory to empirics. We apply this method&lt;br&gt; to the spread of democratic regime change, and offer an illustrative example of how neighbor&lt;br&gt; choices might impact predictions and inferences in the case of the 2011 Arab Spring.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">57</style></issue><notes><style face="normal" font="default" size="100%">&lt;p&gt;Replication data: &lt;a href=&quot;http://dvn.iq.harvard.edu/dvn/dv/zhukov&quot; target=&quot;_blank&quot; title=&quot;http://dvn.iq.harvard.edu/dvn/dv/zhukov&quot;&gt;http://dvn.iq.harvard.edu/dvn/dv/zhukov&lt;/a&gt;&lt;/p&gt;</style></notes></record></records></xml>