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Sunbelt XXXI International Network for Social Network ... - INSNA

Sunbelt XXXI International Network for Social Network ... - INSNA

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A Two Mode Personal <strong>Network</strong> Method For Creating Categories Of KnowingMcCarty, Christopher; Bernard, H. Russell; Fazito, Dimitri2‐Mode <strong>Network</strong>sTwo‐mode Data, Personal <strong>Network</strong>sSAT.AM1The network scale‐up method (NSUM) is a way to estimate the size of hard‐to‐count populations, such as IV drug users. NSUM is a two‐step process that firstinvolves the estimation of personal network size <strong>for</strong> individual respondents. There are two methods <strong>for</strong> estimating network size – the back estimation methodand the summation method. The summation method relies on respondent estimates of the number of people known in mutually exclusive and exhaustivecategories of knowing, preferably in the language of the population of interest. We will present the results of four pilot projects in Thailand, Rwanda, Braziland the U.S. where respondents were first asked to free‐list ways people know each other in their native language. Respondents then listed 30 people theyknew, and <strong>for</strong> each of the 30 people evaluated whether the categories of knowing applied. By creating a union of these 30 matrices we can see whichcategories are linked by co‐use across the 30 respondents. We will present a protocol <strong>for</strong> using this approach to develop categories in the language of therespondent.Accelerating Returns To ScienceWasko, MollyApplying <strong>Social</strong> <strong>Network</strong> Analysis to Clinical and Translational Science in four CTSA InstitutionsScientific <strong>Network</strong>s, Academic <strong>Network</strong>s, Per<strong>for</strong>manceSAT.AM2Panel Session Title: Applying <strong>Social</strong> <strong>Network</strong> Analysis to Clinical and Translational Science in Four CTSA Organizations. Accelerating the rate of scientificdiscovery from the bench to the bedside is one of the critical areas of investment <strong>for</strong> improved human health. At the University of Alabama at Birmingham, weare using social network analysis to map our network of scientists to identify how investments in translational science through our Center <strong>for</strong> Clinical andTranslational Science facilitate, accelerate and trans<strong>for</strong>m science. We take a unique approach to applying social network analysis as a means <strong>for</strong> evaluationand assessment of per<strong>for</strong>mance of the center. The purpose of this research presentation is to share knowlede related to our assessment activities and gainfeedback from the <strong>INSNA</strong> community on new directions.

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