Accesso libero

A Multigraph Approach to Social Network Analysis

   | 13 ago 2019
INFORMAZIONI SU QUESTO ARTICOLO

Cita

Barabàsi, A. L. & Albert, R., 1999. Emergence of scaling in random networks. Science, 286, 509–512.10.1126/science.286.5439.509Search in Google Scholar

Bender, E. A., Canfield, E. R., 1978. The asymptotic number of labeled graphs with given degree sequences. Journal of Combinatorial Theory, Series A 24(3), 296–307.10.1016/0097-3165(78)90059-6Search in Google Scholar

Boorman, S. A., White, H. C., 1976. Social structure from multiple networks. II. Role structures. American Journal of Sociology, 1384–1446.10.1086/226228Search in Google Scholar

Bollobàs, F., 2001. Random Graphs. Cambridge Studies in Advanced Mathematics (No. 73), 2nd ed., Cambridge: Cambridge University Press, New York, NY. press.Search in Google Scholar

Breiger, R. L., Pattison, P. E., 1986. Cumulated social roles: The duality of persons and their algebras. Social Networks, 8(3), 215–256.10.1016/0378-8733(86)90006-7Search in Google Scholar

Butts, C. T., 2008. Social network analysis: a methodological introduction. Asian Journal of Social Psychology 11(1), 13–41.10.1111/j.1467-839X.2007.00241.xSearch in Google Scholar

Carrington, P., Scott, J., Wasserman, S. (Eds.), 2005. Models and Methods in Social Network Analysis, Cambridge University Press, New York, NY. Press.10.1017/CBO9780511811395Search in Google Scholar

Doreian, P., 1980. On the evolution of group and network structure. Social Networks, 2(3), 235–252.10.1016/0378-8733(79)90016-9Search in Google Scholar

Doreian, P., 1986. Measuring relative standing in small groups and bounded social networks. Social Psychology Quarterly, 247–259.10.2307/2786807Search in Google Scholar

Faust, K., Wasserman, S., 1992. Blockmodels: interpretation and evaluation. Social Networks 14(1), 5–61.10.1016/0378-8733(92)90013-WSearch in Google Scholar

Frank, O., 2009. Estimation and sampling in social network analysis. In: R. Meyers (Ed.), Encyclopedia of Complexity and Systems Science, Springer Verlag, New York, pp. 8213– 8231.10.1007/978-0-387-30440-3_487Search in Google Scholar

Frank, O., 2011. Survey Sampling in Networks. In: P. J. Carrington, & , J. Scott (Eds.), The SAGE Handbook of Social Network Analysis, pp. 389–403, Sage.10.4135/9781446294413.n26Search in Google Scholar

Frank, O., Nowicki, K., 1993. Exploratory statistical analysis of networks. Annals of Discrete Mathematics 55, 349– 366.10.1016/S0167-5060(08)70400-XSearch in Google Scholar

Frank, O., Shafie, T., 2012. Complexity of families of multigraphs, JSM Proceedings, Section on Statistical Graphics, Alexandria, VA: American Statistical Association, 2908–2921.Search in Google Scholar

Frank, O., Hallinan, M., Nowicki, K., 1985a. Clustering of dyad distributions as a tool in network modeling. Journal of Mathematical Sociology 11(1), 47–64.10.1080/0022250X.1985.9989981Search in Google Scholar

Frank, O., Komanska, H., Widaman, K. F., 1985b. Cluster analysis of dyad distributions in networks. Journal of Classification 2(1), 219–238.10.1007/BF01908076Search in Google Scholar

Guttman, L., 1977. A definition of dimensionality and distance for graphs. In: Lingoes, J.C (Ed.), Geometric Representation of Relational Data. Ann Arbor, MI: Mathesis.Search in Google Scholar

Janson, S., 2009. The probability that a random multigraph is simple. Combinatorics, Probability and Computing 18(1–2), 205–225.10.1017/S0963548308009644Search in Google Scholar

Kent, D., 1978. The Rise of The Medici: Faction in Florence, 1426-1434. Oxford: Oxford University Press.Search in Google Scholar

Koehly, L. M., Pattison, P., 2005. Random graph models for social networks: Multiple relations or multiple raters. In: P. Carrington, J. Scott, S. Wasserman (Eds.), Models and Methods in Social Network Analysis, Cambridge University Press, New York, NY, pp. 162–191.10.1017/CBO9780511811395.009Search in Google Scholar

Kolaczyk, E., 2009. Statistical Analysis of Network Data. Springer Verlag, New York.10.1007/978-0-387-88146-1Search in Google Scholar

Lazega, E., Pattison, P. E., 1999. Multiplexity, generalized exchange and cooperation in organizations: a case study. Social Networks, 21(1), 67–90.10.1016/S0378-8733(99)00002-7Search in Google Scholar

Lorrain, F., White, H. C., 1971. Structural equivalence of individuals in social networks. The Journal of mathematical sociology, 1(1), 49–80.10.1080/0022250X.1971.9989788Search in Google Scholar

Lusher, D., Koskinen, J., Robins, G. (Eds.), 2012. Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications. Cambridge University Press.10.1017/CBO9780511894701Search in Google Scholar

Nowicki, K., Snijders, T. A. B., 2001. Estimation and prediction for stochastic blockstructures. Journal of the American Statistical Association, 96(455), 1077–1087.10.1198/016214501753208735Search in Google Scholar

Padgett, J. F., 1987. Social mobility in hieratic control systems. In: R.L. Breiger (Ed.), Social Mobility and Social Structure. New York: Cambridge University Press.Search in Google Scholar

Padgett, J. F., Ansell, C. K., 1989. From faction to party in Renaissance Florence. Department of Political Science, University of Chicago, 33.Search in Google Scholar

Padgett, J. F., Ansell, C. K., 1993. Robust Action and the Rise of the Medici, 1400-1434. American Journal of Sociology, 1259–1319.10.1086/230190Search in Google Scholar

Pattison, P., 1993. Algebraic Models for Social Networks. Cambridge University Press.10.1017/CBO9780511571220Search in Google Scholar

Pattison, P., Wasserman, S., 1999. Logit models and logistic regressions for social networks: II. Multivariate relations. British Journal of Mathematical and Statistical Psychology, 52(2), 169-193.10.1348/000711099159053Search in Google Scholar

Pattison, P., Wasserman, S., Robins, G., Kanfer, A. M., 2000. Statistical evaluation of algebraic constraints for social networks. Journal of Mathematical Psychology, 44(4), 536–568.10.1006/jmps.1999.1261Search in Google Scholar

Ranola, J. M., Ahn, S., Sehl, M., Smith, D. J., Lange, K., 2010. A Poisson model for random multigraphs. Fioinformatics, 26(16), 2004–2011.10.1093/bioinformatics/btq309Search in Google Scholar

Robins, G., Pattison, P., 2006. Multiple networks in organisations. Draft report.Search in Google Scholar

Robins, G., 2013. A tutorial on methods for the modeling and analysis of social network data. Journal of Mathematical Psychology, 57, 261–274.10.1016/j.jmp.2013.02.001Search in Google Scholar

Scott, J., Carrington, P. (Eds.), 2011. Handbook of Social Network Analysis. Sage Publications, London.Search in Google Scholar

Snijders, T. A. B., 2011. Statistical models for social networks. Annual Review of Sociology 37, 131–153.10.1146/annurev.soc.012809.102709Search in Google Scholar

Snijders, T. A., Nowicki, K., 1997. Estimation and prediction for stochastic blockmodels for graphs with latent block structure. Journal of Classification, 14(1), 75–100.10.1007/s003579900004Search in Google Scholar

Wasserman, S., 1987. Conformity of two sociometric relations. Psychometrika, 52(1), 3–18.10.1007/BF02293953Search in Google Scholar

Wasserman, S., Faust, K., 1994. Social Network Analysis: Methods and Applications. Cambridge University Press.10.1017/CBO9780511815478Search in Google Scholar

White, H., 1963. An Anatomy of Kinship: Mathematical Models for Structures of Cumulated Roles. Englewood Cliffs, NJ: Prentice-Hall.Search in Google Scholar

White, H. C., Boorman, S. A., Breiger, R. L., 1976. Social structure from multiple networks. I. Blockmodels of roles and positions. American Journal of Sociology, 730–780.10.1086/226141Search in Google Scholar

eISSN:
1529-1227
Lingua:
Inglese
Frequenza di pubblicazione:
Volume Open
Argomenti della rivista:
Social Sciences, other