Lecture_17 - Introduction Introduction to Sociology Part...

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Unformatted text preview: Introduction Introduction to Sociology Part III: The Architecture of Society Lecture 17: Social Network Analysis Monday, April 13 April 13 Recording Recording Network Data A A B C D E — 0 0 1 1 B 0 — 0 0 1 C 1 0 — 1 0 D 1 0 0 — 0 E 1 1 0 0 — D E A B C Adjacency matrix (based on directed relations) Recording Recording Network Data A A B C D E — 0 1 1 1 B — — 0 0 1 C — — — 1 0 D — — — — 0 E — — — — — D E A B C Adjacency matrix (based on undirected relations) un Enhanced Enhanced Network Data Valued: Network data that expresses strengths of ties, as opposed to just the presence or absence of ties, as opposed to just the presence or absence of ties ties (e.g., duration, frequency of contact) Signed: Network data that expresses the valence of relationships – as positive (+), negative (-), or neutral (+/-) (+/Dynamic: Network data collected at multiple Network data collected at multiple points points in time A A B C D E — +/+ + B — — +/+/C — — — +/D — — — — +/E — — — — — - - Reciprocity Reciprocity - Reciprocity: The extent to which a relationship between two actors is mutual (e if feels/acts one way toward is mutual (e.g., if A feels/acts one way toward B, B feels/acts the feels/acts the same same way toward A) A B Null dyad dyad A B or A B Asymmetric dyad (non-reciprocal tie) (non- A B Mutual dyad (reciprocal tie) Social Social Network Data A A B C D E — 0 0 1 1 B 0 — 0 0 1 C 1 0 — 1 0 D 1 0 0 — 0 E 1 1 0 0 — D E A B C Reciprocity = Mutual / (Mutual + Asymmetric) Network Network Density - Density: How interconnected the actors in a network are - Measure: The proportion of possible ties that actually exist • Number of possible ties in a directed network = k2 – k • Number of possible ties in an undirected network = (k2 – k)/2 un A A B C D E — 0 1 1 1 B — — 0 0 1 C — — — 1 0 D — — — — 0 E — — — — — D C E B A Key Key Network Analysis Topics - Distance: The social proximity of actors to each other each other - Composition: The attributes of network members, similarity of actors to each other - Influential actors: The popularity, centrality, or importance of certain actors - Subgroups: Clusters and cliques in the network - Structural holes: The existence of “gaps” between clusters in a holes The existence of gaps between clusters in network, network, the existence of bridges - Structural equivalence: The presence of actors who have similar Structural equivalence: The presence of actors who have similar profiles profiles of ties E A B D C Social Social Network Analysis Software UCINET: The best all-purpose, user-friendly software for social network alluseranalysis analysis – includes matrix algebra, calculation of numerous actor-level matrix algebra calculation of numerous actor level measures, measures, clique detection, cluster analysis, network visualization NetDraw: Network visualization only Network visualization only http://www.analytictech.com/products.htm http://www.analytictech.com/products.htm - - VisuaLyzer: Network visualization, some basic clique detection and other Network visualization some basic clique detection and other analysis analysis procedures http://www.insna.org/member/profiles/381.html - Pajek: Advanced network visualization, non-user-friendly analysis non-userroutines http://vlado.fmf.uni-lj.si/pub/networks/pajek/ http://vlado ...
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