Técnicas y Herramientas de Apoyo a la investigación (THA) II. Técnicas de Investigación Cualitativa. Social network analysis (SNA)
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1 Técnicas y Herramientas de Apoyo a la investigación (THA) II. Técnicas de Investigación Cualitativa Sesión 3. Análisis de redes sociales Alejandra Martínez Monés Noviembre Social network analysis (SNA) Considers relations and mutual effects of actors within groups and organisations Based on empirical data Different levels of analysis (individual, sub-group, community) Formal methods, mainly based on graph theory and graph algorithms Fundamentals were presented as Sociometry (Moreno, 1951) Sociogram Sociomatrix Social network analysis Social network Social Network Analysis Graphical representation - Sociograms Set of actors (a person, a department, a company) and relationships among them Examples: is a friend of is a neighbor of distributes goods to is a member of 3 4
2 Social network analysis Types of networks Application areas of SNA for computer science Mode One-mode networks: one set of actors Two-mode networks: two sets of actors. Affiliation networks: relationships between actors and activities Complete vs. egocentric networks Human oriented disciplines Computer supported collaborative learning (CSCL) Computer supported cooperative work (CSCW) Network Analysis Identification of bottlenecks in computer networks Fault-tolerance and handling in distributed systems Knowledge Structures Growing interest in analysis of dynamic knowledge structures, such as Wikipedia 5 6 Social network analysis Some indicators Indicators - Examples Centrality of actors Degree based Proximity / Closeness based Betweenness based Centralization of a network Prestige of actors Indegree and proximity Groupings: Cliques, Clusters, Positions Individual: Degree centrality: Activity of a node (n i ) = d(n i ) = x i+ Normalized degree centrality C D (n i ) = d(n i ) / (g-1) 7 8
3 Indicators - Examples Social Network Analysis Sociograms Global: Density: Global activity of the network = 2 L / g (g -1) L, number of links; g, number of nodes Degree Centralization: Dependency of a single actor = 1<=i<=g [ (n*) ( n i )] / (g-1) (g-2), (n*) = max i ( n i ) Who is central in this network? 9 10 SNA visualisation techniques Data Collection and Transformations Teacher Group 1 Group 2 Group 3 Intra-group Inter-group = 24,45% = 63,6% (x00) = 81,9 % (x21) = 9,1 % (x32) = 9,1 % Computer-mediated communication Discussion Forums Mailinglists Web 2.0 applications, such as xing, facebook etc. Archival records / artifacts Bibliographies Wikis Versioning systems (e.g. CVS) Automatically processable Potential for transformation between differenet network types 11 12
4 ImagenBibliotec a Bolsa Móvil (c) ( Limitations of the method Example AO case study Indirect networks through BSCW Density Centralization Subproject 2 =17,54% =87,03% Final project = 35,48% = 68,21% Frequently not all of the interaction takes place inside a computer environment People going for a coffee and discussing their homework Interpretation is hard without insider knowledge, i.e. replication is difficult Combination with other methods is useful triangulation SNA Software UCINet Whole Network Analysis NetDraw Visualization Pajek Network Visualization (Large Networks) SAMSA SNA applied to CSCL scenarios amartine@infor.uva.es SNA tools - SAMSA Interaction through the computer Participants CSCL tool Event logs Answers to questionnaires QUEST Sociometries Actions (Generic XML format) SAMSA Teacher / evaluator Configuration parameters Interaction maps DL file Other SNA tools (UCINET NETDRAW) Sociograms SNA indexes 15
5 Raw source data (BSCW logfile) XML generic format 17 User:[158009, 'stm1x06'] object:[162008, 'stm1x04_diagrama_estados'] Type:ReadEvent Time: Members:[[158339, 'stm1x17', 'l5qcdnyhbmzkc'], [158099, 'stm1x09', 'SgBa8D7t4R3XQ'], [116766, 'stm1x00', 'Q5OG42nMsUCog'],... Path: [[158012, ':stm1x06'], [156970, 'Ingeniería de software (03/04)'], [158541, 'El proyecto de la herramienta de encuestas'], [160233, 'Elaboración (primera iteración)'], [161426, '6. Diagramas de Estado']] On:[161426, '6. Diagramas de Estado'] Touched:[158012, ':stm1x06'] Icon:'/bscw_resources/icons/e_read.gif' Class:Document Content:application/pdf User:[158249, 'stm1x14'] object:[161927, 'stm1-junio03.pdf'] Type:ReadEvent Time: Members:[[158339, 'stm1x17', 'l5qcdnyhbmzkc'], [158099, 'stm1x09', 'SgBa8D7t4R3XQ'], [116766, 'stm1x00', 'Q5OG42nMsUCog'], [158129, 'stm1x10', 'kn/7h8eeiasd6'], [157859, 'stm1x01', '8zEhF2Cl/XRlI'], [158399, 'stm1x19', '2GUzLTh.vkZNw'], [158009, 'stm1x06', '.MH/OmIqgz7HQ'], [158039, 'stm1x07', 'nhiuposqdfnwa'], [158249, 'stm1x14', 'bmckxpsguqwts'], [158429, 'stm1x20', 'zprvdxqadkdkw'], [157979, 'stm1x05', 'qpe8bev6dvk1m'], [158159, 'stm1x11', 'Ttibbr4C9YDdw'], [158309, 'stm1x16', 'gwkeglwonsn3y'], [157949, 'stm1x04', 'ZbRd75nzzT39c'], [158219, 'stm1x13', 'di/2gryzpebbi'], [158369, 'stm1x18', '1VpwTzrnjvteI'], [157919, 'stm1x03', 'JtWyaVVOJNo7E'], [158279, 'stm1x15', 'de2y.irtuk30g'], [157889, 'stm1x02', 'xyaqs9gzf62es'], [158069, 'stm1x08', 'wksimtord/pk2'], [158189, 'stm1x12', 'RwmThVDSMhk0g']] Path:[[158252, ':stm1x14'], [156970, 'Ingeniería de software (03/04)'], [158473, 'Material académico'], [158531, 'exámenes']] On:[158531, 'exámenes'] Touched:[158252, ':stm1x14'] Icon:'/bscw_resources/icons/e_read.gif' Class:Document Content:application/pdf 18 <ACTIVITY id="sp1 act-goal="subproyecto 1"/> <SESSION date="09/10/2001"> <ACTION> <ACT.TIMESTAMP>08:42</ACT.TIMESTAMP> <ACT.SOURCE ref="laox38"/> <ACT.DESC> <ACT.IND> <ACT.IND.DOC type="readevent"> <DOC key="47951" type="note"> <DOC.PATH>:laox38</DOC.PATH> <DOC.PATH>Curso </DOC.PATH> <DOC.PATH>GENERAL'],[17938, ]</DOC.PATH> <DOC.PATH>Comentarios... </DOC.PATH> <DOC.PATH>SERIA MAS... </DOC.PATH> <DOC.CONTENT>None</DOC.CONTENT> </DOC> </ACT.IND.DOC> </ACT.IND> </ACT.DESC> </ACTION> Social Network (SAMSA output) SNA indexes (SAMSA output) 19 DL N=19 FORMAT = FULLMATRIX DIAGONAL PRESENT LABELS: x00 x21 x22 x23 x24 x25 x26 x27 x28 x29 x31 x32 x33 x34 x35 x36 x37 x38 x GRUPO OUTDEGREE INDEGREE OUTFARNESS INFARNESS OUTCLOSENES INCLOSENESS x00 44,00 3,00 55,00 101,00 32,73 17,82 x21 1,00 0,00 65,00 342,00 27,69 5,26 x22 25,00 8,00 72,00 100,00 25,00 18,00 x23 5,00 22,00 67,00 91,00 26,87 19,78 x24 3,00 3,00 77,00 113,00 23,38 15,93 x25 1,00 3,00 81,00 113,00 22,22 15,93 x26 0,00 16,00 342,00 69,00 5,26 26,09 x27 3,00 1,00 77,00 113,00 23,38 15,93 x28 2,00 4,00 79,00 113,00 22,78 15,93 x29 1,00 6,00 70,00 108,00 25,71 16,67 x31 0,00 2,00 342,00 97,00 5,26 18,56 Densidad normalizada: 14,33 % Densidad: 29,53 % La centralizacion(indegree): 97,84 % La centralizacion(outdegree): 226,85 %
![.. Path: [[158012, ':stm1x06'], [156970, 'Ingeniería de software (03/04)'], [158541, 'El proyecto de la herramienta de encuestas'], [160233, 'Elaboración (primera iteración)'], [161426, '6.](/docs-images/43/933972/images/page_5.jpg "Diagramas de Estado']] On:[161426, '6. Diagramas de Estado'] Touched:[158012, ':stm1x06'] Icon:'/bscw_resources/icons/e_read.")
6 21 Sociogram (NetDraw)
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