A toolkit for social network analysis.
The writer discusses the main tools available for both novices and more advanced researchers undertaking a piece of social network analysis, which is a form of analysis comprising a collection of techniques for analyzing relational data. He states that anyone seeking to undertake social network ana...
| Publicado en: | Acta Sociologica Vol. 39; no. 2; pp. 211 - 217 |
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| Autor principal: | |
| Formato: | Product Evaluation |
| Publicado: |
Sage Temporary
1996
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=512732488&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 512732488 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00016993 7CAQ jtl: Acta Sociologica issn: 00016993 maglogo: N pubinfo: dt: 1996 vid: 39 iid: 2 pid: 36799 pub: Sage Temporary artinfo: ui: 512732488 10.1177/000169939603900205 ppf: 211 ppct: 6 formats: tig: atl: A toolkit for social network analysis. aug: au: Scott, John su: Social network analysis Computer software Sociometry sug: subj: Social network analysis Computer software Sociometry ab: The writer discusses the main tools available for both novices and more advanced researchers undertaking a piece of social network analysis, which is a form of analysis comprising a collection of techniques for analyzing relational data. He states that anyone seeking to undertake social network analysis will require the appropriate handbooks and computer software. He notes the major handbooks for social network analysis, particularly those by Scott (1992) and Wasserman & Faust (1994), and mentions other useful compendiums of techniques and conceptualizations, including Freeman et al. (1992), Wasserman & Galaskiewicz (1994), Burt & Minor (1983), and Knoke & Kuklinski (1982). In addition, he reviews the three major packages available for social network analysis on PCs: GRADAP, STRUCTURE, and UCINET. He suggests the most appropriate tools for use by newcomers and those interested in basic network analysis applications, those who handle small data sets and who find visual representation useful, and the advanced user. pubtype: Academic Journal doctype: Product Evaluation src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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