000 01736nam a2200277 i 4500
008 150202s2011 enkm a000 0 eng d
020 _a9781412947145
_q(hardback)
020 _a1412947146
_q(hardback)
020 _a1412947154
_q(paperback)
020 _a9781412947152
_q(paperback)
040 _aUKM
_cUKM
_dNLGGC
_dYDXCP
_dBWX
_dCGU
_dOSU
_dUtOrBLW
_dBAUN
_beng
_erda
049 _aBAUN_MERKEZ
050 1 4 _aHM741
_b.P74 2011
082 0 4 _222
100 1 _aPrell, Christina.
245 1 0 _aSocial network analysis :
_bhistory, theory and methodology /
_cby Christina Prell.
264 1 _aLondon :
_bSAGE,
_c2011.
300 _avi, 263 pages :
_billustrations ;
_c25 cm.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 0 _t-- Contents
_t About the Author
_t Introduction: What are Social Networks?
_tpart I BACKGROUND UNDERSTANDING
_t1. Becoming Familiar with Social Networks
_t2. A Brief History of Social Network Analysis
_t3. How to Study Social Networks, from Theory to Design
_tpart II LEVELS OF ANALYSIS
_t4. Actor Level in Complete Networks
_t5. Actor Level in Ego Networks
_t6. Dyad and Triad Levels
_t7. Subgroups Level
_t8. Network Level
_t9. Position and Roles Analysis
_tpart III ADVANCES, EXTENSIONS AND CONCLUSIONS
_t10. Statistical Models for Social Networks
_t11. Conclusions and Future of the Field
_tAppendix 1 Getting Started with UCINET
_tAppendix 2 Exponential Random Graph Modelling and Longitudinal Modelling through Siena
_tAppendix 3 Calculating Probability for Transitivity Using Actor-Based Models
_t Index
650 0 _aSocial networks
_xResearch
_xMethodology.
942 _2lcc
_cKT
999 _c33498
_d33498