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		<title>Visualizing the Campaign Contributions to Senators in the 110th Congress &#8212; The TARP EDITION (Documentation for the Network)</title>
		<link>http://computationallegalstudies.com/2009/03/26/visualizing-the-campaign-contributions-to-the-united-states-senators-in-the-110th-congress-the-tarp-edition/</link>
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		<pubDate>Thu, 26 Mar 2009 20:32:00 +0000</pubDate>
		<dc:creator>Daniel Martin Katz</dc:creator>
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		<description><![CDATA[  Visualizing the Campaign Contributions to the Senators of the 110th Congress &#8212; The TARP EDITION By Michael Bommarito &#38; Daniel Katz University of Michigan Center for the Study of Complex Systems Department of Political Science BASIC OVERVIEW: 110th Congress &#8230; <a href="http://computationallegalstudies.com/2009/03/26/visualizing-the-campaign-contributions-to-the-united-states-senators-in-the-110th-congress-the-tarp-edition/">Continue reading <span class="meta-nav">&#8594;</span></a>]]></description>
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<div style="text-align: center;"><strong>Visualizing the Campaign Contributions to the Senators of the 110th Congress &#8212;</strong></div>
<div style="text-align: center;"><strong>The TARP EDITION </strong></div>
<div style="text-align: center;"><strong><br />
</strong></div>
<div style="text-align: center;"><strong>By Michael Bommarito &amp; Daniel Katz</strong></div>
<p class="MsoNormal" style="text-align: center;"><strong>University of Michigan<br />
</strong><strong><a href="http://www.cscs.umich.edu/">Center for the Study of Complex Systems<br />
</a><a href="http://polisci.lsa.umich.edu/">Department of Political Science </a></strong></p>
<p class="MsoNormal" style="text-align: center;"><strong><br />
</strong></p>
<p class="MsoNormal" style="text-align: center;"><a href="http://www.cscs.umich.edu/"></a></p>
<p class="MsoNormal" align="center"><strong> <!--StartFragment--> </strong></p>
<p class="MsoNormal" style="text-align: left; "><strong>BASIC OVERVIEW:</strong></p>
<p class="MsoNormal" style="text-align: left; "><span style="font-weight: normal;">110</span><sup><span style="font-weight: normal;">th</span></sup><span style="font-weight: normal;"> Congress = January 3, 2007 &#8211; January 3, 2009</span></p>
<p class="MsoNormal" style="text-align: left; "><span style="font-weight: normal;">100 Members of the United States Senate</span></p>
<p class="MsoNormal" style="text-align: left; "><a href="http://computationallegalstudies.com/2009/04/07/visualizing-contributions-to-the-110th-congress-the-house-edition/"><strong>Click Here</strong></a> for the House of Representatives</p>
<p class="MsoNormal" style="text-align: left; "><strong>BASIC RULE:<span> </span></strong></p>
<p class="MsoNormal" style="text-align: left; "><span style="font-weight: normal;">Squares (Institutions) Introduce Money into the System and Circles (Senators) Receive Money. </span></p>
<p class="MsoNormal" style="text-align: left; "><strong>DATA OVERVIEW:</strong></p>
<p class="MsoNormal" style="text-align: left; "><span style="font-weight: normal;">Using recently published data on campaign contributions collected by the Federal Election Commission and aggregated by the Center for Responsive Politics at </span><a href="http://www.opensecrets.org"><span style="font-weight: normal;">http://www.opensecrets.org</span></a><span style="font-weight: normal;">, our visualizations track large money donations to members of the 110</span><sup><span style="font-weight: normal;">th</span></sup><span style="font-weight: normal;"> Congress over the 2003-2008 window.</span></p>
<p class="MsoNormal" style="text-align: left; "><span style="font-weight: normal;">Given that some senators resign or lose reelection, a subset of the senators of the 110</span><sup><span style="font-weight: normal;">th</span></sup><span style="font-weight: normal;"> Congress have served less than the full 2003-2008 window.</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">While this imposes some comparability issues, many of these new members faced challenging races and thus attracted significant sums of money.</span><strong><span><span style="font-weight: normal;"> </span></span></strong></p>
<p class="MsoNormal" style="text-align: left; "><span style="font-weight: normal;">It is important to note that most of these organizations did not directly donate.</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">Rather, as noted by the Center for Responsive Politics</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">“the money came from the organization&#8217;s PAC, its individual members or employees or owners, and those individuals&#8217; immediate families.</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">Organization totals include subsidiaries and affiliates.</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">Of course, it is impossible to know either the economic interest that made each individual contribution possible or the motivation for each individual giver. However, the patterns of contributions provide critical information for voters, researchers and others.” The Center describes its methodology here </span><a href="http://www.opensecrets.org/politicians/method_pop.php"><span style="font-weight: normal;">http://www.opensecrets.org/politicians/method_pop.php</span></a><span style="font-weight: normal;">.   We strike a tradeoff  between information overload and incomplete disclosure.  To provide for an optically tractable view of the top contributions, we impose the limiting requirement that to be included in our tally a given group&#8217;s contribution must fall within a given senator&#8217;s top contributor list.  For a first cut on the data, we believe this reaches an appropriate balance.  However, in subsequent work we plan to go much deeper and probe a much larger set of contribution information.   </span></p>
<p class="MsoNormal" style="text-align: left; "><strong> CONTRIBUTORS &amp; CONTRIBUTIONS: </strong></p>
<p class="MsoNormal" style="text-align: left; "><span style="font-weight: normal;">1,050 of the Donors are captured in the Graph.</span><span><span style="font-weight: normal;"> </span></span></p>
<p class="MsoNormal" style="text-align: left; "><span style="font-weight: normal;">Total Recorded Donations Introduced into the System by these Entities Total to  $94, 138,917.</span></p>
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<p class="MsoNormal" style="text-align: left; "><strong><em><span style="font-weight: normal;">(1) SIZING of the SENATOR NODES</span></em><span style="font-weight: normal;"> &#8212; Each Circular node representing a U.S. Senator is sized according the amount of incoming donations.</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">Thus, larger U.S. Senator nodes are the recipients of larger sums of money while the smaller nodes received smaller amounts of money.</span><span><span style="font-weight: normal;"> </span></span></strong></p>
<p class="MsoNormal" style="text-align: left; "><span><span style="font-weight: normal;"><strong><img class="aligncenter size-full wp-image-95" title="pic11" src="http://ec2-107-21-222-181.compute-1.amazonaws.com/wp-content/uploads/2009/03/pic11.png" alt="pic11" width="216" height="97" /></strong></span></span></p>
<p class="MsoNormal" style="text-align: left; "><span><span style="font-weight: normal;"><strong> <!--StartFragment--> </strong></span></span></p>
<blockquote style="text-align: center; padding-left: 90px; "><p><strong><em>NOTE ON SELF-FINANCING</em></strong> &#8212; Some candidates use personal funds to finance their campaigns.  For example, Senator Herb Kohl (D-WI) spent $5,922,759 of which $5,575,000 (94%) came from his personal assets.  In this respect, Senator Kohl has a significant “self-loop” but is sized very small because he accepts very little outside monies.</p></blockquote>
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<p class="MsoNormal" style="text-align: left; "><span><span style="font-weight: normal;"><strong> <!--StartFragment--> </strong></span></span></p>
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<p class="MsoNormal"><strong><strong><em>(2) COLORING of the SENATOR NODES</em><span style="font-weight: normal;"> </span></strong><span style="font-weight: normal;">&#8212; Each node representing a US Senator is colored according their Political Party.</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">Using popular convention, we color members of the Republican Party as Red, members of the Democratic Party as Blue and Independents as Purple.</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">For the 110</span><sup><span style="font-weight: normal;">th</span></sup><span style="font-weight: normal;"> Congress, there are two Independents—Bernie Sanders (I- VT), Joe Lieberman (I- CT), respectfully.</span><span><span style="font-weight: normal;"> </span></span></strong></p>
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<p class="MsoNormal" style="text-align: left; "><span style="font-weight: normal;"><strong><strong> <img class="aligncenter size-full wp-image-96" title="pic2" src="http://ec2-107-21-222-181.compute-1.amazonaws.com/wp-content/uploads/2009/03/pic2.png" alt="pic2" width="290" height="97" /></strong></strong></span></p>
<p class="MsoNormal" style="text-align: left; "><span style="font-weight: normal;"><strong><strong> <!--StartFragment--><strong><em><span>(3) COLORING of the INSTITUTIONAL NODES</span></em><span> </span></strong><span><span style="font-weight: normal;">&#8212; Each square node represents institutions who are top contributors to at least one Senator in the 110</span><sup><span style="font-weight: normal;">th</span></sup><span style="font-weight: normal;"> Congress.</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">The full graph contains 1,050 institutions of two separate classes.</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">Green institutions are either primary TARP recipients or now components of primary recipients of resources under the Troubled Asset Relief Program.</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">For example, we color Wachovia as Green even though they are now owned by </span></span></strong></strong></span><span style="font-weight: normal;"><strong><strong><span><span style="font-weight: normal;">Wells Fargo, a </span></span></strong></strong></span><span style="font-weight: normal;"><strong><strong><span><span style="font-weight: normal;">TARP recipient.</span><span><span style="font-weight: normal;"> </span> </span></span><!--EndFragment--> </strong></strong></span></p>
<p class="MsoNormal" style="text-align: left; "><span style="font-weight: normal;"><strong><strong><img class="aligncenter size-full wp-image-97" title="pic3" src="http://ec2-107-21-222-181.compute-1.amazonaws.com/wp-content/uploads/2009/03/pic3.png" alt="pic3" width="174" height="116" /><!--StartFragment--> </strong></strong></span></p>
<p class="MsoNormal"><strong><strong><em><span> </span>(4) SIZING of the INSTITUTIONAL NODES</em></strong><em> <span style="font-weight: normal;">&#8212;</span></em><span style="font-weight: normal;"> Each square node representing a TARP or Non-TARP institution is sized according their relative financial contribution to the over all system.</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">Thus, larger institutions make larger contributions and smaller institutions make smaller contributions.</span><span><span style="font-weight: normal;"> </span></span></strong></p>
<p class="MsoNormal"><strong><img class="aligncenter size-full wp-image-98" title="pic4" src="http://ec2-107-21-222-181.compute-1.amazonaws.com/wp-content/uploads/2009/03/pic4.png" alt="pic4" width="198" height="141" /><!--StartFragment--></strong></p>
<p class="MsoNormal"><strong><strong><em>(5) SIZING of the CONNECTIONS </em></strong><em>&#8212;</em> <span style="font-weight: normal;">Each Connection (Arc) between an Institution and a Senator is sized according to the amount of money flowing through a connection.</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">Darker connections represent larger flows of money while lighter connections represent smaller amounts of money.</span><span><span style="font-weight: normal;"> </span></span></strong></p>
<p class="MsoNormal"><span><span style="font-weight: normal;"><strong><img class="aligncenter size-full wp-image-99" title="pic5" src="http://ec2-107-21-222-181.compute-1.amazonaws.com/wp-content/uploads/2009/03/pic5.png" alt="pic5" width="198" height="125" /><!--StartFragment--> </strong></span></span></p>
<p class="MsoNormal"><strong><strong><em><span> </span>(6) COLORING of the CONNECTIONS</em> </strong><span style="font-weight: normal;">&#8212; Each connection representing a campaign contribution from an institution to a US Senator is colored according to partisan affiliation of the receiving senator.</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">Using popular convention, we color members of the Republican Party as Red, members of the Democratic Party as Blue and Independents as Purple.</span><span><span style="font-weight: normal;"> </span></span><span style="font-weight: normal;">For the 110</span><sup><span style="font-weight: normal;">th</span></sup><span style="font-weight: normal;"> Congress, there are two Independents—Bernie Sanders (I- VT), Joe Lieberman (I- CT), respectfully.</span><span><span style="font-weight: normal;"> </span></span></strong></p>
<p class="MsoNormal"><span><strong><img class="aligncenter size-full wp-image-100" title="pic6" src="http://ec2-107-21-222-181.compute-1.amazonaws.com/wp-content/uploads/2009/03/pic6.png" alt="pic6" width="234" height="120" /> </strong></span></p>
<p><!--EndFragment--><strong><em>(7) STRUCTURE OF THE GRAPH </em>&#8212;<span style="font-weight: normal;"> The Graph is Visualized Using the <a href="https://nwb.slis.indiana.edu/community/?n=VisualizeData.Kamada-Kawaii"><strong>Kamada-Kawai Visualization Algorithm</strong></a>.  This is an automated spring embedded, force directed placement algorithm often used in the network science literature to visualize graphs of this size.</span></strong></p>
<p><strong>(8) ACKNOWLEDGEMENTS </strong>&#8212;<span style="font-weight: normal;"> We thank <a href="http://www.cscs.umich.edu/~rlr/"><strong>Rick Riolo</strong></a>, <a href="http://www.linkedin.com/pub/4/61b/9b7"><strong>Jon Zelner</strong></a>, <a href="http://www.fordschool.umich.edu/faculty/Carl_Simon"><strong>Carl Simon</strong></a>, <a href="http://www.cscs.umich.edu/~spage/"><strong>Scott Page</strong></a> and the <a href="http://www.opensecrets.org/"><strong>Center for Responsive Politics</strong></a> for their comments, contributions and/or data.  </span></p>
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