Index
1-mode data, 4, 8, 64, 68, 276
2-mode data, 4, 9, 24, 57, 63, 66, 68, 71, 73, 74, 117, 123, 276, 293
2-mode degree centrality, 63, 66
2-mode network, 5, 9, 119, 280
a priori stochastic blockmodel. See blockmodeling, stochastic
accuracy, 8, 17, 23, 177, 178, 180, 184
activity effect, 229, 232, 239, 243
activity, foci of. See foci of activity
actor-bound covariate. See covariate, actor-bound
actor-oriented model, 6, 215, 216, 217, 224, 225, 227, 232, 233, 234, 235, 241, 243, 245, 303
Adamic, L. A., 24, 25
Adar, E., 24, 25
adjacency matrix, 1, 38, 68, 163, 164, 216, 221, 223, 224, 229, 279, 280, 281, 297, 299, 300, 301
adjacency network. See 1-mode data
Adolescent Health study, 107
affiliation network, 5, 117, 118, 119–120, 121, 123, 125, 128, 132, 133, 137, 143. See also 2-mode data
aggregation, 59
AIDS, 4
Albert, R., 176
Alexander, C., 107
Alexander, M. C., 24
Allison, P. D., 108
Alon, N., 40
Anderson, C. J., 40, 148, 153, 203
arc variable, 36, 37, 38, 41, 43, 45, 50, 51, 221, 222, 242. See also edge variable
archival methods, 3
archival network data, 10, 24, 25, 26, 109, 275
Asch, S. E., 192
asymmetric joint display, 132
auto-logistic regression, 148, 153
automorphic equivalence, 96
baboon networks, 88
Baddeley, A., 155, 204
Baerveldt, C., 245
Bailey, N. T. J., 98
Bailey, S., 11, 16
Bailey, T. C., 101
balance schema, 21
Banks, D. L., 216
Barabási, A.-L., 2, 176
Baron, J. N., 12
Baron, R. M., 193
Bartholomew, D. J., 108
Bass, F. M., 99
Bass, L. A., 14
Basu, D., 34
Batagelj, V., 4, 77, 79, 80, 83, 85, 86, 88, 95, 96, 275, 280, 281, 284, 286, 309, 312, 313
Batchelder, E., 20
Batchelder, W. H., 11, 21, 23, 123, 163, 186
Bayesian models, 4, 32, 305
Beal, G. M., 98
Bearman, P. S., 107, 165, 205
Becker, M. H., 106
Benta, I. M., 306
Berkowitz, S. D., 1
Bernard, H. R., 12, 13, 19, 21, 70
Bernoulli
graph, 40, 151, 179, 180, 199
model, 3, 40, 169, 184, 185, 198, 199, 211, 212
multigraph, 166, 169, 172, 179
Besag, J. E., 117, 150, 152, 154, 155, 156, 158, 165, 167, 169, 193, 195, 196, 197
betweenness, 4, 57, 62, 65–66, 67, 284, 288, 298, 307, 310
Bickart, B., 17
bias. See ego bias, expansiveness bias, perceptual bias
bipartite graph, 63, 66, 121, 157, 289
bipartite networks, 65, 289
Blair, J., 17
Blasius, J., 123, 130
block types, 84, 86, 87, 88, 91, 95, 285, 286
blockmodel, 91
image, 71, 85, 87
pre-specified. See pre-specified blockmodels
types of, 79, 83, 91, 95
blockmodeling, 4, 77, 78, 82, 83, 85–86, 88, 91, 93, 95, 96, 169, 275, 285, 286, 292, 305, 310
generalized, 77, 86, 87, 88, 89, 91, 93, 94, 95, 286
stochastic, 153, 302, 305
blocks. See diagonal blocks, ideal blocks, null blocks, off-diagonal blocks, one-covered blocks, permitted blocks, symmetric blocks
Bloemena, A. R., 37
Blythe, J., 120, 121, 270
Bock, R. D., 255, 256, 279, 289
Boer, P., 301
Boey, Y.-B.,
Bohlen, J. M., 98
Bollobas, B., 40, 151
Bonacich, P., 57, 63
Bond, C. F., 15, 294
Bondonio, D., 23
Borgatti, S. P., 4, 58, 59, 63, 67, 70, 73, 75, 78, 79, 80, 96, 117, 118, 123, 164, 179, 268, 270, 275, 277, 278, 306, 312
Bosker, R., 193, 194
Boulay, M., 107
boundary specification, 9
Bowman, K. O., 235, 238
Bradburn, N. M., 13
Bradford, L., 22, 25
Brandes, U., 270, 307
Brazill, T. J., 117, 119
Breiger, R. L., 2, 85, 117, 119, 123
Brewer, D. D., 13, 14, 15, 21, 26
bridge, 74, 261, 262, 263
Broadhead, R. S., 112
Brown, L., 98
Bryk, A. S., 194
Buchanan, M., 2
Bulte, C. van den, 100, 105, 109, 113
Bunt, G. G. van de, 217, 218, 224
Burt, R. S., 1, 11, 12, 13, 15, 23, 85, 99, 103, 105, 114, 279, 291, 292, 312
Busschbach, J. T. van, 194
Butts, C. T., 310
Calloway, M., 163
Cameroon study, 101, 104, 106
Campbell, K. E., 13, 106
Capobianco, M., 37, 38
Cappell, C. L., 119
Carley, K. M., 1, 2, 111, 216
Carrington, P. J., 1–7, 26, 52, 148, 312
Carroll, J. D., 131, 132, 133, 134, 137, 138, 139
Carter, W. C., 11, 14, 25
Cartwright, D., 52, 162
Casciaro, T., 20, 23
Casterline, J., 105, 113
categorical, 22, 33, 36, 45, 48, 123, 216, 288, 297, 300, 304
caveman graph, 157
centrality. See also closeness centrality, 2-mode degree centrality
group centrality, 4, 58, 59, 60, 61, 63, 68, 69, 73, 278
group betweenness centrality, 62
group closeness centrality, 61, 277
group degree centrality, 59
centralization, 4, 8, 66, 67, 68, 71, 73, 75, 106, 288
chain graph, 204–209, 210
Chen, H.-F., 236
Chib, S., 156
child variable, 206, 209
children’s networks, 92
chi-square distance, 128, 129, 130, 131, 133, 134, 137, 139
Chou, C. P., 113
Chung, W., 105, 106
CIA, 120
citation-context analysis, 24
Claussen, S.-E., 123, 124, 125
Cliff, A., 100, 101
closeness centrality, 61, 65, 277, 284, 288
cluster algorithm, 84, 310
cluster analysis, 50, 51, 274, 279, 285, 291, 293
clusterability, 1, 285, 305
cognitive network data, 22
cognitive social structures, 163, 178, 179, 182, 184, 187
cognitive social structure design, 9
cohesion, 63, 89, 278, 289, 292, 293, 294
cohesive. See cohesiveness
cohesiveness, 111, 248, 249, 275, 277, 278, 289, 306, 307, 308
Coleman, J. S., 11, 98, 105, 106, 216
color, 36, 37, 80, 206, 207, 256, 258, 266, 282, 288, 291, 299
coloring, 80, 260, 307
communication, 22, 25, 26, 62, 98, 101, 110, 178, 265, 266, 306, 308
communication networks, 16, 39, 40, 203
computer-mediated communication, 25, 59
compatibility, 94
complement relation, 149, 150
complete subgraph, 68, 90, 152, 167, 168, 170, 171, 173, 174, 176, 181, 182
concentration, 71, 73, 75
conditional dependence, 151, 167, 194, 195, 199, 202, 204, 208, 211, 212
conditional uniform graph distribution, 151
connections, 3, 5, 24, 60, 86, 93, 100, 194, 240
consensus, 163, 177, 179, 180, 181, 182, 183, 184, 185, 186
consensus structure, 20, 21, 23
constant tie assumption, 210
contagion, 99, 101, 106, 107, 108, 109, 111, 113, 292, 294
context effects, 16
continuous-time Markov chain, 216, 218, 219, 222, 227
Contractor, N. S., 187, 308, 310
Coombs, C., 123
Corander, J., 41, 156, 157, 158
core. See also periphery, discrete core/periphery model
core networks, 12, 14
core/periphery, 4, 57, 68, 69, 70, 71, 73, 75, 90, 279
coreness, 68, 70, 71, 73, 75
Corman, S. R., 22, 25
correspondence analysis, 5, 6, 117, 118, 120, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 139, 143, 145, 251. See also multiple correspondence analysis
Coughenour, C. M., 105
covariate, 108, 216, 223, 224, 225, 231, 232, 233–234, 238, 239, 240, 304
actor-bound, 231, 232, 233
dyadic. See dyadic covariate
Cox, D. R., 41, 195, 205
criminal networks, 62
criterion functions, 82, 83, 84, 86, 94, 95, 96
critical mass, 112
Crouch, B., 148, 154, 156, 203, 310
Cummings, J. N., 307
cycle, 91, 157, 167, 175, 190, 309
Cyram, 270, 286
Dahmström, K., 41, 156, 157
Dahmström, P., 41, 156, 157
Danowski, J. A., 24
Dartmouth College conference, 1
data. See 1-mode data, 2-mode data, archival network data, cognitive network data, egocentric data, EIES data, large data set, longitudinal data, missing data, multivariate network data, network studies, collection of source data, observational data, panel data, network panel data, proximity data, retrospective data, sociometric data
Davis, A., 64, 117, 118, 119
Davis, J. A., 52, 90
Davis, R. L., 112
Dawid, A. P., 196
degeneracy, 5, 156, 157, 158
Degenne, A, 2
degree. See indegree, outdegree, reciprocated degree
degree centrality, 2-mode. See 2-mode degree centrality
density parameter, 198, 199, 243
descriptive method, 274, 282, 293, 310
design. See cognitive social structure design, design based inference, egocentric design, ignorable design, link-tracing sampling designs, network studies, design of, random walk design, whole-network design
design based inference, 31
detailed balance, 220, 222, 223
diagonal blocks, 78, 79, 87, 88, 89, 90, 91, 96
differential equation, 220, 222, 223
diffusion, 4, 5, 98–99, 100, 101, 103–104, 105, 106, 108, 109, 111, 112, 113, 167, 178
of innovations, 4, 98, 112
Digby, P. G. N., 124, 125
dimensionality, 124, 250, 251
direct approach, 86
directed network, 194, 207, 209
Dirichlet distribution, 47, 48
discrete, 32, 36, 41, 70, 73, 108, 163, 195, 197, 210, 215, 216, 281, 308
discrete core/periphery model, 71, 73
disjoint groups, 203
dissimilarity effect, 304, 305
distance. See chi-square distance, geodesic distance, social distance.
distance comparison, 131
distribution. See conditional uniform graph distribution, Dirichlet distribution, exponential distribution, extreme value distribution, Gumbel distribution, multinomial dyad distribution, stationary distribution
dominating set, 59, 60, 69
Doriean, P., 4, 10, 77, 79, 80, 86, 88, 90, 91, 95, 96, 101, 119, 193, 275, 286, 294
Dow, M., 101
Dozier, D. M., 105
drug abuse, 4, 52
dual network, 119
duality, 119, 128, 132
Duijn, M. A. J. van, 7, 156, 194, 216, 217, 222, 224, 233, 301, 302, 303, 304, 305, 313
Durkheim, Émile, 6
dyad
dyad’s color type, 36–37
dyad-dependence models, 3, 32, 41, 43, 45, 48, 50, 151
dyad-independent random multigraphs, 166, 169
dyad variables, 41, 43, 44, 45, 49
normally distributed dyad variables, 43, 44
multinomial dyad distribution. See multinomial dyad distribution
dyadic
dyadic covariate, 231, 234, 304
dyadic dependence, 151
edge sampling. See line sampling
edge variables, 35, 36, 37, 39, 43, 45, 49, 50, 51
Edwards, D., 41, 195
efficiency, 60, 61, 62, 178
ego bias, 21
egocentric
approaches, recall in, 3
approaches, recognition in, 3
data, 9, 309
design, 3, 8, 9, 10, 11
measures, 8, 11, 12, 17, 23, 26
EIES data, 59, 60, 61, 276, 277, 278, 279, 280, 282, 288, 289, 293, 297, 299, 300, 303, 304, 313
eigendecomposition, 274, 275, 297, 298, 299, 308
eigenvector, 57, 70, 75, 282, 288, 298, 299, 307
Eliason, S. R., 108
Elliott, P. E., 149, 199, 201, 205, 206, 207, 208, 209, 210
embedded, 16, 62, 63, 178, 218, 244
empirical studies, 4, 19, 57, 162
Ennis, J. G., 119
Entwisle, B., 106
epidemics, 1
epidemiology, 52, 98, 108, 178
equilibrium assumptions, 215
equivalence. See automorphic equivalence, regular equivalence, structural equivalence
equivalence relation, 78, 80, 81, 82, 94
Erbring, L., 101, 193
Erdös, P., 198
Erickson, B. H., 19
estimation. See maximum likelihood estimation, maximum pseudo-likelihood estimation, Monte Carlo maximum likelihood estimation, pseudo-likelihood estimation
Eudey, L., 11
event history analysis, 4, 108, 109, 110
event-based measures of network boundaries, 3, 9
Everett, M. G., 4, 58, 59, 63, 67, 73, 75, 78, 79, 80, 81, 96, 117, 118, 123, 164, 179, 268, 275, 278
Everton, S. F., 282, 288
exchange, generalized. See generalized exchange
exchange name generator, 15, 16
expanding selection, 10
expansiveness bias, 11, 25
exponential distribution, 219, 224, 227
exponential random graph model, 192, 197, 202, 203, 205, 245, 275, 299, 302
extension, 32, 45, 57, 61, 62, 63, 67, 71, 73, 74, 77, 96, 99, 148, 149, 162, 163, 202, 211, 217, 223, 245, 246, 276, 281
external, 4, 23, 63, 74, 99, 203, 256
extreme value distribution, 225
Faust, K., 2, 5, 8, 9, 24, 40, 52, 53, 63, 78, 96, 106, 117, 119, 123, 148, 149, 150, 151, 153, 164, 201, 229, 270, 275, 308
Feld, S. L., 11, 15, 25, 202
Ferligoj, A., 4, 11, 79, 80, 86, 88, 95, 275, 286
Ferrone, T., 308
Fienberg, S. E., 40
Fischer, C. S., 12, 15, 18
Fisher, D., 306
Fiske, A. P., 15
flow of information. See diffusion
focal behavior sampling, 25
foci of activity, 15
forgetting, 14, 15
Forsé, M., 2
Foster, B. L., 119
framework, 15, 16, 37, 52, 58, 163, 166, 171, 180, 215, 310
Frank, K. A., 307
Frank, O., 3, 9, 10, 31, 36, 37, 38, 39, 40, 51, 52, 53, 148, 149, 150, 151, 152, 165, 166, 169, 193, 195, 198, 199, 200, 202, 211, 216, 245, 308
Freeman, L. C., 1, 4, 6, 7, 8, 10, 20, 21, 22, 52, 53, 57, 58, 59, 64, 66, 68, 75, 117, 119, 120, 164, 179, 248, 249, 251, 252, 256, 264, 265, 268, 270, 275, 278, 282, 288, 298, 307
Freeman, S. C., 21, 59, 251, 252, 265, 275
free-recall question, 11
French, C., 91, 96
Friedkin, N. E., 52, 193
friendly relation, 218
Fu, Y.-C., 19
full contribution, 61
Gaag, M. van der, 52
Galaskiewicz, J., 119, 123
Gardner, B. B., 117, 118, 119
Gardner, M. R., 117, 118, 119
Garrett, S. B., 14
Gatrell, A. C.,
Geman, D., 156
Geman, S., 156
General Social Survey, 9, 11, 13, 15, 16, 17, 19
generalization, 4, 5, 32, 40, 58, 61, 68, 75, 78, 80, 86, 148, 212
generalized blockmodeling. See blockmodeling, generalized
generalized exchange, 165, 167, 174, 175, 190, 205
generalized relational structures, 5, 187
geodesic, 62, 277
geodesic distance, 21, 229, 234, 245, 288, 307
geographers. See geography
geography, 35, 98, 100, 101, 121, 169, 171, 187, 211
Geyer, C. J., 156, 303
Geys, H., 155
Ghana Study, 110
Ghosh, J. K., 34
Gibbs sampler, 156
Gibson, D. R., 25
Gifi, A., 123
global
global inconsistency, 83
global network question, 11, 18
global trading networks,
gpc. See group centrality
Granovetter, M. S., 9, 37, 52, 100, 111, 162
graph. See Bernoulli graph, bipartite graph, caveman graph, chain graph, independence graph, Markov graph, Markov random graph, moral graph, multigraphs, multivariate random graphs, random graph, reduced graph, uniform random graphs, valued graph
graph theory, 1, 40
graphical modeling, 41, 150, 195, 205, 206
gratification function, 224, 226, 227, 234, 238, 239, 241, 245
Green, P. E., 131, 132, 133, 134, 137, 138, 139
Greenacre, M., 123, 130, 131, 134, 137
Greenberg, E., 156
Grenander, U., 157
Griffith, D. A., 100
Groffman, B., 117, 119
Gross, N., 98, 112
group centrality. See centrality, group
groups, disjoint. See disjoint groups
Groves, R. M., 17
Gumbel distribution, 225, 226
Guterbock, T. M., 119
Hagen, G., 53
Hägerstrand, T., 98, 100
Hallinan, M., 51
Hamblin, R. L., 99, 308
Hamilton, H., 98
Hammersley-Clifford theorem, 150, 152, 153, 165, 167, 171, 181, 193, 195, 197, 206
Han, K. K.,
Handcock, M. S., 156, 157, 158
Hannan, M. T., 108
Harary, F., 52, 90, 162, 309
Hargens, L. L., 24
Hastie, T., 130, 137
Hayward, M. D., 108
hazard analysis, 108
Heider, F., 52, 162, 180
hidden population, 52, 305, 307, 308, 309
hierarchical, 51, 61, 92, 164, 177, 198, 278, 279, 281, 285, 291, 293, 305
Hirsch, B. J., 12, 14
Hlebec, V., 11
Hoff, P., 156, 159
Holland, P. W., 1, 40, 52, 151, 199, 216, 248, 280, 303
Holland-Leinhardt model, 3, 4, 32, 40, 45, 48
Homans, G. C., 119
homogeneity, 123, 153, 168, 169, 171, 172, 181, 182, 183, 187, 197, 198, 199, 201, 202
homophily, 210
Horvitz-Thompson estimator, 35, 37, 38
Houwielingen, J. C. van, 155
Hsu, F., 308
Hsung, R.-M., 19
Huisman, J. M., 7, 217, 224, 228, 237, 238, 245, 301, 305
Husain, S. Z., 255, 256, 289
Hyatt, A., 308
hybrid seed corn, 98
hypergraph, 203
hypothesis-testing approach to positional analysis. See positional analysis, hypothesis-testing approach
Iacobucci, D., 216
ideal block types, 86
ideal blocks, 4, 80, 81, 83, 84, 86, 95
ignorable design, 39
Ikeda, M., 148, 149, 154, 155, 169, 170
image matrix, 78, 81
incidence networks. See 2-mode data, affiliation networks
inconsistency, 4, 83, 85, 86
indegree, 151
independence graph, 150, 195, 196
independence model, 166, 185, 187, 195, 199, 212, 221
independent arcs model of network evolution. See network evolution, independent arcs model of
inductive approach to positional analysis. See positional analysis, inductive approach to
inertia, 127, 128, 130–131, 139, 143
infection, 109–110
inference. See design-based inference, model assisted inference, model based inference
informant accuracy, 8
informant competence, 22
in-star, 158, 176, 186, 201
intensity matrix, 219, 220, 221, 227, 232, 233, 241, 242
interpersonal communication, 98
interviewer effects, 16, 17
isomorphism, 168, 171, 181, 184, 197
Jacobsen, R. B., 99
Jacoby, W. G., 123
Janson, S., 40
Jansson, I., 37, 52
Jennings, H. H., 92
Johnsen, E. C., 193
Johnson, J. C., 11, 20, 21, 23
Johnson, S. C., 61
joint representation, 118, 123, 124, 135
joint space, 5, 117, 123, 132
Jones, J., 107
Jones, P. M.,
Jones, R. L., 15
Kalbfleisch, J. D., 216
Kaplan, C., 52
Karlberg, M., 37
Karlin, S., 218, 221
Kashy, D. A., 11, 22
Katz, E., 98, 105, 106
Katz, L., 57, 216, 294
Kautz, H., 308
Keesing, 120
Kempton, R. A., 124, 125
Kenny, D. A., 11, 22, 193
key informants, 23
Kilduff, M., 21
Killworth, P. D., 18, 21, 70
Kincaid, D. L., 105, 106, 112
kinship network, 305, 307
Kirke, D. M., 9, 15, 256, 264
Klemm, E., 119
Klovdahl, A. S., 9, 52
knowledge network, 305, 307, 308
Kochhar, S., 308
Koehly, L. M., 5, 6, 9, 179
Kohler, H. P., 105, 110
Komanska, H., 306
Korean family planning study, 105
Krackhardt, D., 9, 10, 20, 21, 23, 120, 121, 164, 171, 177, 178, 179, 182, 270, 280, 292
Krebs, V. E., 306
Krempel, L., 251
Kruskal, J. B., 251, 280
Kulasingam, S., 14
Kumbasar, E., 21, 123, 186
large data set, 264, 280, 296
Laskey, K. B., 40
latent individual preferences, 32
Latkin, C., 112
Laumann, E. O., 9
Lauritzen, S. L., 41, 150, 195, 196, 205, 206
Lawless, J. F., 216
Lazega, E., 9, 162, 201
Le Cessie, S., 155
Lee, B. A., 13
Leenders, R. Th. A. J., 216, 218, 223
Leinhardt, S., 1, 40, 52, 90, 151, 199, 216, 248, 280
Levine, J., 117, 119
Levine, M. L., 98
Lillien, G. L., 100, 105, 109, 113
Lin, N., 19, 52
link function, 232, 233
link-tracing sampling designs, 31, 39
Little League networks, 82, 84, 88
local density, 8, 14
local structure, 32, 45, 47
locally aggregated structure, 20, 23, 178
logistic function, 99
logit model, 5, 154, 169, 170
log-linear methods, 4, 32, 40, 41, 43, 45, 47, 49, 51
Lomas, J., 112
longitudinal data, 52, 107, 215
longitudinal network data, 216, 217, 227, 244, 245, 301, 302
Lorrain, F., 77, 79, 303
Luczak, T., 40
macro level, 6, 100, 101, 107, 109, 113, 224
Maddala, G. S., 225, 226
MAGE, 6, 256, 268, 270, 276, 277, 307
Magilavy, L. J., 17
Mahajan, V., 99
Markov
Markov attribute, 209, 210
Markov chain, 152–155, 156, 216, 219, 220, 222, 227, 237
continuous-time. See continuous-time Markov chain
Markov chain Monte Carlo (MCMC), 154, 156, 169, 215, 292
Markov graph, 40, 41, 52, 152, 156, 157, 158, 200, 202, 209
Markov process, 215, 219, 221
Markov properties, 196, 197, 206, 212
Markov random graph, 3, 5, 148, 152, 156, 157, 158, 167, 195, 199, 201, 204, 205, 211, 212
Markov random multigraph, 167
Marsden, P. V., 3, 8, 9, 12, 16, 17, 18, 105, 109, 113, 163
mass media influence, 100
matrix decomposition, 123, 124, 125, 134
maximum likelihood, 5, 156, 158, 169, 199
maximum likelihood estimation, 44, 46, 108, 154, 155, 157, 158, 222
maximum pseudo-likelihood estimation, 150, 154, 155, 158, 170, 171, 172–176, 182
Mayer, T. F., 220
McCarty, C., 12, 16, 18
McCullagh, P., 232
McGrady, G. A., 9
McGrath, C., 120, 121, 270
McPherson, J. M., 117
MDLogix, 309
MDS. See multidimensional scaling
measurement, 3, 4, 9, 20, 22, 26, 31, 52, 75, 163, 177, 178, 180, 184, 279
measures of adequacy, 4, 77, 82
Medical Innovation study, 105, 109, 111, 113
membership network, 119
membership relation, 24, 119
memory for persons, 15
Menon, G., 17
Menzel, H., 105, 106
method of moments, 44–45, 215, 235, 238
Metropolis-Hastings algorithm, 156, 157, 245, 303, 304
Meyer, M., 24, 25
Michaelson, A. G., 251, 252
micro level, 6, 107, 108, 113, 224
Milardo, R. M., 13
Miller, J. L. L., 99
minimum, 4, 61, 62, 65, 112, 124, 279, 293
mini-step, 224, 225, 227
minority, 57, 111
Mische, A., 117, 119, 201, 202, 205, 211
missing data, 237
Mitchell, J. C., 25
Mizruchi, M. S., 119
model. See actor-oriented model, Bernoulli model, network models of diffusion, discrete core/periphery model, dyad-dependence models, independence model, logit model, models of diffusion, multiple rater models, network evolution, independent arcs model of, p1 model, p2 model, p∗ model, popularity model, probabilistic network models, random graph models, temporal models
model assisted inference, 31
model based inference, 177
Molenberghs, G., 155
Möller, J., 204
Molloy, M., 302
monotone, 60, 61, 62
Monro, S., 236
Monte Carlo maximum likelihood estimation, 154, 155, 156, 157, 158
Montgomery, M. R., 105, 106, 110
Moore, J. C., 17
moral graph, 206, 207, 208, 209
Moran’s I, 100–101
Moreno, J. L., 6, 248, 249
Morgan, D. L., 14, 37
Morris, M., 98, 187
Morrissey, J. P., 163
MOVIEMOL, 6, 266, 268
Mrvar, A., 95, 96, 280, 281, 284, 309, 312, 313
Mullins, N. C., 1
multidimensional scaling, 6, 251, 279, 287, 288, 291, 298, 307
multigraphs, 36, 37, 164, 168, 169, 171, 181. See also Bernoulli multigraphs, dyad-independent random multigraphs, realization-dependent random multigraphs
multilevel, 245
multinomial dyad distribution, 151
multinomial logistic regression, 226
multiple correspondence analysis, 132, 133
multiple levels, 194
multiple networks, 5, 6, 162, 163, 164, 166, 280, 292
multiple rater models, 177, 178, 179, 180, 181
multiple relations, 9, 78, 148, 149, 165
multiplexity, 164, 166, 167, 168, 172, 173, 174, 176, 177, 179
multivariate network data, 3, 31, 32, 39, 40, 171
multivariate random graphs, 163, 170, 171, 179
multivariate relations, 179
mutuality, 199, 201, 278, 310
mutuality index, 218
Myers, D. J., 109
myopic, 215, 225, 245
myopic changes, 6
Nakao, K., 123
name interpreter, 11, 12, 17, 18, 19, 21, 23
Neaigus, A., 52, 105
Neal, M. B., 14
neighborhood, 15, 83, 162, 169, 288, 308
Nelder, J. A., 232
Nepal study, 107
NetMiner, 7, 270, 274, 278, 282, 286–292, 293, 296, 298, 302, 309, 311–312
network. See 2-mode network, affiliation network, baboon networks, bipartite networks, event-based measures of network boundaries, children’s networks, communication networks, core networks, criminal networks, cognitive network data, directed network, dual network, global trading networks, Little League networks, multiple networks, non-dyadic network, global network question, probabilistic network models, sexual networks, telephone networks, terrorist networks, whole-network design
autocorrelation, 99, 101
boundary, 243
composition, 11, 13, 14, 18, 19, 237
configuration, 167, 170, 198, 206, 225, 226
domain, 202
dynamics, 6, 215, 216, 218, 224–245, 308
equilibrium,
evolution,
independent arcs model of, 6, 215, 232, 233, 242, 243
exposure, 123
models of diffusion, 101, 112
panel data, 14
range, 18, 19
sampling, 3, 9, 37
size, 11, 12, 13, 14, 16, 18, 20
studies
collection of source data, 3
design of, 3, 8
network-based interventions, 112, 113
Newcomb, T. M., 178
Nischan, P., 105
Nishisato, S., 123, 132
Noldus Information Technology,
Noma, E., 123
non-dyadic network, 119
Nooy, W. de, 96, 224, 284, 312, 313
normalization, 38, 59, 60, 64, 65, 66, 67, 286
normally distributed dyad variables. See dyad variables, normally distributed
Norman, R. Z., 52
Norris, J. R., 218
Nowicki, K., 40, 41, 51, 52, 149, 151, 166, 169, 198, 302
null blocks, 79, 80, 81, 83, 85, 89, 90, 91, 94
objective function, 215, 224, 225, 226, 227, 228, 232, 233, 234, 239, 241, 243, 244, 245
observational data, 22, 25
observational methods, 3, 25
off-diagonal blocks, 89, 90, 95
O’Keefe, B. J., 308
O’Madadhain, J., 310
one-covered blocks, 81
one-mode data. See 1-mode data
opinion leaders, 103, 112
optimal score, 126
optimizational methods, 77, 96
Orbach, M. K., 20, 21, 23
Ord, J. K., 100, 101
Ord, K., 294
organizational structure, 203
Osa, M., 119
outdegree, 151, 304, 306
out-star, 158, 176, 186, 201
overlapping subgroup, 203
p1 model, 3, 4, 151, 199, 280, 303, 304
p2 model, 302, 303, 304
p∗ model, 3, 5, 40, 148, 149, 150, 151, 152, 153, 154, 155, 156, 159, 192, 197, 202, 297, 299, 300, 301, 303, 304, 305, 310, 312
Pajek, 7, 96, 274, 276, 277, 280–286, 287, 288, 291, 292, 293, 297, 298, 302, 305, 306, 307, 308, 309, 310, 311–313
Palazzo, E., 268
Palmer, E., 40
panel data, 108. See also network panel data
parent variable, 206, 209, 210
parsimony, 245
partial dependence, 194, 204, 205, 208, 210, 211
partitioning. See blockmodeling, cluster analysis
path-dependent random multigraphs, 167
pattern matrix, 69, 70
Pattison, P., 2, 5, 6, 96, 117, 119, 148, 149, 151, 153, 155, 156, 157, 158, 159, 162, 163, 166, 167, 169, 170, 171, 183, 187, 197, 199, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 216, 245, 248, 297, 299, 303
Paulson, R. I., 163
Paz, A., 196
Pearl, J., 196
perceptions of networks. See egocentric measures
perceptual bias, 21
performance, 12, 62, 74, 158
periphery, 14, 68, 73, 75, 89, 260. See also core-periphery
permitted blocks, 4, 79, 83, 85, 86, 87, 286
Peterson, R. A., 99
Pflug, G. Ch., 236
physician behavior, 98
physicists, 2
pile sort task, 20, 22
Podolny, J. M., 12, 24, 26, 105, 109
Poel, M. G. M. van der, 13
point sampling, 3
points of view analysis, 180, 181, 182, 183, 184, 185
police, 39, 52, 62
popularity effect, 199, 229, 239
popularity model, 6, 223
position generator, 19
positional analysis 4
hypothesis-testing approach, 4
inductive approach, 4
positional measures of network boundaries, 3
Prensky, D., 9
pre-specified blockmodels, 77, 88, 89, 95, 96
principal component analysis, 6, 251, 253, 255, 260. See also correspondence analysis
principal coordinate, 127, 131, 132, 134, 137, 138, 139, 288
principal score, 127
probabilistic network models, 3, 39, 40
probability sampling, 31, 32, 37, 150
procedure-based analysis, 274, 278, 279, 285, 291, 293, 302, 306, 310, 311
Proctor, C. H., 216
proximity data, 100, 275
proxy reporting, 11, 17
pseudo-likelihood estimation, 5, 155, 157, 158, 169, 171, 175, 176, 182, 184, 185, 201, 303, 304
public health, 4, 99
QAP correlation, 275, 280, 292, 310
questionnaire methods. See survey and questionnaire methods
Raftery, A. E., 156
random graph, 3, 5, 148, 150, 152, 155, 171, 181, 192, 195, 199, 241, 302, 303, 310
random graph models, 5, 31, 32, 40, 163, 169, 171, 179, 187, 204, 212
random multigraphs, 167, 168, 182
random walk design, 9
ranked clusters model, 90, 91, 92, 95
ranking task, 11, 20
Rao-Blackwellization, 35
Rapkin, B. D., 14
rate function, 224, 227, 232, 233–234, 238, 239
rate parameters, 99, 100, 239, 303
rating task, 11, 20
Raudenbush, S. W., 194
realization-dependent random multigraphs, 167
recall in egocentric approaches. See egocentric approaches, recall in
recall methods, 14
reciprocated degree, 232, 233
reciprocated ties, 82, 199, 226, 228, 232, 234
reciprocation, 11, 226
reciprocity, 1, 21, 40, 48, 157, 162, 165, 166, 171, 173, 174, 176, 177, 181, 185, 186, 189, 215, 216, 217, 223, 224, 228, 239, 240, 280, 300, 302, 303, 304, 305
reciprocity model, 6, 215, 216, 217, 222, 223, 232, 233
recognition, 3, 11, 14, 18, 131, 158, 194
recognition in egocentric approaches. See egocentric approaches, recognition in
reduced graph, 78, 95
redundancy, 34, 58, 60
Reed, B., 303
regular equivalence, 4, 77, 78, 80, 81, 82, 85, 89, 94, 279, 285, 286, 291
Reitz, K. P., 77, 80
relation. See complement relation, equivalence relation, friendly relation, membership relation, multiple relations, multivariate relations, valued relation
relational measures of network boundaries, 3
relational property, 8
relational structures, generalized. See generalized relational structures
reliability, 11, 12, 23, 26, 40, 163
Rennolls, K., 149
Renyi, A., 198
repeated observations, 216, 303
respondent burden, 13, 18, 20
restricted exchange, 165, 166, 167, 173, 174
retrospective data, 105, 106
reverse small world method, 18
Rice, R. E., 24, 25
Richards, W. D., 171, 296, 297, 298, 299, 308, 312
Richardson, D. C., 256, 270
Richardson, J. S., 256
Robbins-Monro algorithm, 236, 303, 304
Roberts, J. M., 117, 118, 123
Roberts, K. H., 192
Robertson, T. S., 98
Robins, G. L., 5, 40, 119, 149, 150, 153, 156, 157, 158, 159, 162, 163, 167, 169, 171, 183, 187, 199, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 216, 275, 303
Rogers, E. M., 98, 99, 105, 106, 112
role interlocking, 167, 171, 174, 175, 176
Romney, A. K., 21, 22, 23, 123, 124, 125, 127, 138, 251
Ronchi, D., 23
Rosenthal, N., 119
Rothenberg, R. B., 52
Rowlee, D. D., 117, 123
Ruan, D., 12, 16
Rucinski, A., 40
Ryan, L. M., 155
Ryan, R., 98, 112
Rytina, S., 37
Saba, W., 106, 110, 111
Sailer, L., 21, 70, 80
sampling. See focal behavior sampling, line sampling, link-tracing sampling designs, network sampling, point sampling, probability sampling, snowball sampling
Sanil, A.,
Sarason, I. G., 12, 14
Särndal, C.-E., 31, 32
Sarnecki, J., 52
scale-up methods, 18
scaling, 5, 117, 123, 124, 135, 137, 139, 186, 279
Schade, E., 11
Schaffer, C. M., 131, 132, 133, 134, 137, 138, 139
Schenkel, A., 73
Schuur, W. H. van, 23
Schwarz, N., 13
Schweinberger, M., 245, 302, 312
Schweizer, M., 119
Schweizer, T., 117, 119, 123
Scott, C. R., 25
Scott, J., 1, 2, 7, 106, 148, 312
Scott, T., 293, 294, 295
Seary, A. J., 171, 296–297, 298, 299, 300, 308, 312
Seidman, S. B., 10, 117, 119
self-report, 21, 22, 23, 26
Selman, B., 308
semi-path, 124, 167, 204
semiperiphery, 75
setting structures, 169, 172, 173, 194, 202, 203, 212, 213
sexual networks, 1
sexually transmitted diseases, 52
Shah, M., 308
Shavit, Y., 12
Shelley, G. A., 17
Shenton, L. R., 235, 238
SIENA, 171, 217, 228, 238, 245, 282, 301, 302, 303, 304
Sikkema, K. J., 112
simulation, 5, 22, 104, 111, 155, 156, 157, 158, 201, 235–237, 238, 292, 303, 304
singular value, 124, 125, 126, 127, 131, 134, 138, 139
singular value decomposition, SVD, 123, 124, 125, 134, 251, 279
singular vector, 124, 125, 126
Skvoretz, J., 117, 123, 201
Skyhorse, P., 309
slice, 20, 21, 23, 179
small world, 5, 157
small world problem, 2
Smith, D. R., 123
Smith, T. M. F., 31, 39
Smith, T. W., 19
smoking, 107, 112, 238, 240, 244
Snijders, T., 6, 9, 40, 52, 53, 154, 156, 157, 158, 169, 171, 187, 193, 194, 216, 217, 222, 223, 224, 228, 233, 234, 236, 237, 238, 245, 275, 282, 301, 302, 303, 304, 308, 312, 313
snowball sampling, 3, 10, 31, 38, 308
social capital, 4, 52, 63, 74
social distance, 103
social epidemiology, 52
social influence, 103, 106, 107, 110, 111, 113, 148, 149, 193, 194, 195, 205, 206, 207, 208, 209, 210, 310
social perception, 9, 20
social position(s), 19, 145, 165, 168, 169, 172, 187, 248
social processes, 5, 24, 149, 166, 167, 192, 193, 194, 195, 199, 202, 203, 244
social proximity, 15, 211, 212, 250
social selection, 149, 195, 205, 209, 210
social settings, 153, 159, 192, 202
social space, 6, 159, 192, 194, 195, 211, 212
social support, 12, 13, 14, 112, 178
sociogram, 1, 6
sociomatrix, 1, 8, 120, 178
sociometric data, 4, 106
sociometry, 1
Soumerai, S. B., 112
spatial autocorrelation, 99, 101, 104
Spencer, J., 40
Spiegelhalter, D. J., 205, 206
Spreen, M., 37, 52
Sprenger, C. J. A.,
spring-embedding algorithm, 251, 282, 287, 288, 298, 307
SPSS Inc., 170, 172, 182, 309, 310
standard coordinate, 126, 132, 134, 137, 138, 139
standard error, 101, 157, 158, 236, 237, 239, 240, 303, 304
standard score, 126, 127
star, 5, 66, 68, 156, 157, 158, 176, 185, 186, 200–201. See also in-star, out-star
stationary distribution, 11, 17, 52, 105, 110, 156, 219, 220, 223
statistical model, 193, 216, 227, 245, 302
statistical modeling, 215, 248, 274, 294
status schema, 21
steady state, 215
Stein, C. H., 14
Stephan, F. F., 37
stochastic actor-oriented model, 216
stochastic blockmodel. See blockmodeling, stochastic
stochastic optimization, 215, 225
stochastic process, 5, 40, 219, 220, 223, 224, 241
Stokman, F. N., 119, 224
StOCNET, 7, 157, 245, 274, 282, 292, 301–303, 304, 305, 309, 311, 312
Straits, B. C., 16, 17
Strang, D., 105, 108, 109
Strauss, D., 40, 148, 149, 150, 152, 154, 155, 156, 165, 169, 170, 193, 195, 199, 200, 202, 211, 245
stress, 158, 249, 252, 253, 282, 311
structural analysis, 178, 309
structural balance, 1, 157, 285
structural equivalence, 1, 4, 58, 77, 78, 79–82, 83, 84, 85, 94, 103, 110, 114, 275, 279, 285, 286, 291, 292, 293, 294
structural property, 3, 6, 8, 31, 60, 254, 270, 286
STRUCTURE software, 7, 274, 292–296, 302, 311–312
Stuart, T. E., 24
subjective images. See egocentric measures
substance abuse,
Sudman, S., 13, 17
Sugden, R. A., 39
superpopulation, 31
survey and questionnaire methods, 3, 8, 20
survey methodology, 10, 31, 32, 52, 113
susceptibility, 109, 110
SVD. See singular value decomposition, SVD
Swensson, B., 31, 32
symmetric blocks, 90, 91
Tallberg, C., 40, 53
Taylor, H. M., 218, 221
Teachman, J. D., 108
telephone networks, 2
temporal models, 210
terrorist networks, 2
test, 7, 31, 45, 100, 101, 155, 158, 210, 238, 239, 268, 278, 280, 291, 292, 294, 299, 309
test-retest study, 12, 14
Thompson, E. A., 156, 303
Thompson, S., 39
threshold, 19, 111
tie strength, 11, 14, 15, 16, 20
Tiegland, R., 73
Tilburg, T. van, 12, 16, 17
time of adoption, 106, 108, 112
time-until-arrival, 62
Torenvlied, R., 23
total personal network, 12
trade organizations, 147
transition probabilities, 221
transitive triad, 176, 180, 190, 201
transitivity, 21, 157, 167, 176, 177, 185, 186, 217, 228, 230, 239, 274, 300, 302, 303, 304, 309, 310
transitivity index, 218
treaty organizations, 9, 118, 120, 123, 139
triad, 1, 40, 153, 155, 176, 177, 198, 201, 202, 204, 210, 284, 288, 300, 302, 309
triad state, 153
triangle, 153, 157, 288
Tsuji, R., 309
Tuma, N. B., 105, 108, 109
Turner, R., 155
two parameter model, 199
two-mode data. See 2-mode data
two-mode network. See 2-mode network
Udry, J. R., 107
ultrametrics, 302, 305
uncertainty, 31, 32, 111
undirected, 57, 195, 196, 281, 288, 310
uniform random graphs, 151
universal setting structure, 203
Urberg, K. A., 106
Valente, T. W., 4, 5, 8, 98, 99, 101, 103, 105, 106, 107, 110, 111, 112, 113
validity, 10, 12, 13, 21, 24, 26, 104, 111, 163, 238
valued graph, 57
valued network, 78, 201
valued relation, 148, 149
variable. See arc variable, child variable, dyad variables, edge variable, parent variable, vertex variable
vertex sampling. See point sampling
vertex variable, 35, 37, 38, 39, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51
visual exploration, 286, 306, 307
Vlahov, D., 106
Wagner, D., 270
Walker, M. E., 154
Wang, Y. J., 40
Wasserman, S., 2, 5, 7, 8, 9, 40, 52, 117, 123, 148, 149, 150, 151, 153, 154, 155, 156, 158, 163–166, 169, 170, 187, 197, 201, 203, 216, 217, 218, 222, 223, 229, 245, 248, 270, 275, 297, 299, 303, 308, 310, 312
Wasseur, F. M., 224
Watkins, S. C., 17
Watts, D., 2, 157
Webster, C. M., 10, 13, 14, 20, 21, 22, 25, 256, 264, 265
Weick, K. E., 192
Weintraub, D. L., 15
Weller, S. C., 22, 23, 123, 124, 125, 127, 138, 251
Wellman, B., 1, 52
Wermuth, N., 41, 195, 205, 206
Western Hemisphere countries, 118, 120, 123, 139, 145
White, D. R., 77, 80, 110, 117, 119, 309
White, H. C., 77, 79, 202
White, K., 17
White, S., 310
Whittaker, J., 41, 195, 196
whole-network design, 8, 9, 10
Widaman, K., 51
Willard, B., 308
Willert, K. E., 117, 123
Wilson, T. P., 117
Wish, M., 251
Wong, G. Y., 40
Woodard, K. L., 10
Woolcock, J., 156, 158, 171, 183, 187
Wretman, J., 31, 32
Young, A., 101, 193
yWorks, 310
Zeggelink, E. P. H., 224, 301
Zijlstra, B. J. H., 302, 304
Zwaagstra, R., 52
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