UCINET 6-Social Network Analysis Software
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UCINET 6-Social Network Analysis Software
社會網路數據的分析和其他1種模式和2種模式的數據的一個綜合的套裝軟體。能讀並且寫眾多不同格式化的檔案。能處理最多32，767個節點。社會網路分析方法包括centrality 測量，分小組鑑定，角色分析，初步圖論和基於換變的統計分析。另外，套裝軟體有強大的基體分析例行程式，例如基體代數和多元統計。
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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UCINET for Windows試用版
社會網路分析軟體及相關資源
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ANTHROPAC
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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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