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UCINET 6-Social Network Analysis Software












社会网路数据的分析和其他1种模式和2种模式的数据的一个综合的套装软体。能读并且写众多不同格式化的档案。能处理最多32，767个节点。社会网路分析方法包括centrality 测量，分小组鑑定，角色分析，初步图论和基于换变的统计分析。另外，套装软体有强大的基体分析例行程式，例如基体代数和多元统计。


Description


A comprehensive package for the analysis of social network data as well as other 1-mode and 2-mode data. Can read and write a multitude of differently formatted text files, as well as Excel files. Can handle a maximum of 32,767 nodes (with some exceptions) although practically speaking many procedures get too slow around 5,000 - 10,000 nodes. Social network analysis methods include centrality measures, subgroup identification, role analysis, elementary graph theory, and permutation-based statistical analysis. In addition, the package has strong matrix analysis routines, such as matrix algebra and multivariate statistics.


Integrated with UCINET is the NetDraw program for drawing diagrams of social networks. In addition, the program can export data to Mage and Pajek.


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社会网路分析软体及相关资源


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Description


ANTHROPAC is a menu-driven DOS program for collecting and analyzing data on cultural domains. The program helps collect and analyze structured qualitative and quantitative data including freelists, pilesorts, triads, paired comparisons, and ratings. ANTHROPAC's analytical tools include techniques that are unique to Anthropology, such as consensus analysis, as well as standard multivariate tools such as multiple regression, factor analysis, cluster analysis, multidimensional scaling and correspondence analysis. In addition, the program provides a wide variety of data manipulation and transformation tools, plus a full-featured matrix algebra language.


ANTHROPAC is accompanied by a 150-page Reference Manual, a 60-page User's Guide, and a 40-page Methods Guide (which provides basic background information on the methods of cultural domain analysis). These manuals are provided in electronic form, not paper.


Program Capabilities


Collecting Proximity Data


Process qualititative pilesort and freelist data. Construct individually randomized triad tests, paired comparisons, and rating/ranking questionnaires. Data collected using these instruments are automatically unrandomized by the program so that the data are comparable across respondents. Compute measures of similarities/distances among items or respondents.


Analyze Proximity Data


Perform metric and non-metric multidimensional scaling of up to 180 items. Correspondence analysis, factor analysis, and cluster analysis. Test hypotheses of underlying perceptual dimensions via PROFIT analysis. Test other hypotheses of proximity data with matrix correlation (QAP) and matrix regression (MRQAP).


Perform metric and non-metric multidimensional scaling of up to 180 items. Correspondence analysis, factor analysis, and cluster analysis. Test hypotheses of underlying perceptual dimensions via PROFIT analysis. Test other hypotheses of proximity data with matrix correlation (QAP) and matrix regression (MRQAP).


Attitude Scaling


Construct, test and modify Guttman and Likert scales of underyling attitudes/traits. ANTHROPAC makes it easy to drop items and rerun the analysis to arrive at the optimum combination of items.


Consensus Analysis


Evaluate the extent and type of intracultural variability in a sample, Assess the extent of informants' knowledge of a cultural domain. The ANTHROPAC implementation handles true/false, multiple choice, fill-in-the-blank, and interval data.


Data Transformations


Routines for transforming data, including symmetrizing, dichotomizing, recoding, reversin, transposing, standardizing, reshaping, sorting, normalizaing, permuting and collapsing matrices, and extracting submatrices.


Data Management


Copy, delete, rename, merge, display, edit, browse, and print datasets. Also export and import data to and from ASCII formats for communication with other programs.


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