Using graph theory metrics to infer information flow through animal social groups: A computer simulation analysis

Ethology

Volumn 115, Issue 4, 2009, Pages 347-355

  Vital, Cuauhcihuatl ^a   Martins, Emília P ^a  

^a INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL COMMUNITY; CLUSTER ANALYSIS; COMMUNICATION BEHAVIOR; FORAGING BEHAVIOR; GROUP SIZE; INFORMATION SYSTEM; LEARNING; SAMPLING; SEASONAL VARIATION; SIMULATION; SOFTWARE;

ANIMALIA; PYRONIA TITHONUS;

EID: 62749143508     PISSN: 01791613     EISSN: 14390310     Source Type: Journal    
DOI: 10.1111/j.1439-0310.2009.01613.x     Document Type: Article

References (29)

1. Albert, R. Barbási, A. L. 2002 : Statistical mechanics of complex networks. Rev. Mod. Phys. 74, 47 97. doi :.
2. Batagelj, V. Mrvar, A. 1998 : Pajek - Program for large network analysis. Connections 21, 47 57.
3. Beecher, M. D. Brenowitz, E. A. 2005 : Functional aspects of song learning in songbirds. Trends Ecol. Evol. 20, 143 149. doi :.
4. Bolland, J. M. 1988 : Sorting out centrality: an analysis of the performance of four centrality models in real and simulated networks. Soc. Netw. 10, 233 253. doi :.
5. Borgatti, S. P., Everett, M. G. Freeman, L. C. 2002 : UCINET for Windows: software for social network analysis. Analytic Technologies, Harvard [ http://www.analytictech.com ].
6. Börner, K., Dall'Asta, L., Ke, W. Vespignani, A. 2005 : Studying the emerging global brain: analyzing and visualizing the impact of co-authorship teams. Complexity 10, 57 67. doi :.
7. Costenbader, E. Valente, T. W. 2003 : The stability of centrality measures when networks are sampled. Soc. Netw. 25, 283 307. doi :.
8. Croft, D. P., James, R., Ward, A. J. W., Bothman, A. S., Mawdsley, D. Krause, J. 2005 : Assortative interactions and social networks in fish. Oecologia 143, 211 219. doi :.
9. Flack, J. C., Girvan, M., De Waal, F. B. M. Krakauer, D. C. 2006 : Policing stabilizes construction of social niches in primates. Nature 439, 426 429. doi :.
10. Frank, O. 2002 : Using centrality modeling in network surveys. Soc. Netw., 24, 385 394. doi :.
11. Freeman, L. C. 1979 : Centrality in social networks: conceptual clarification. Soc. Netw. 1, 215 239. doi :.
12. Galaskiewicz, J. 1991 : Estimating point centrality using different network sampling techniques. Soc. Netw. 13, 347 386. doi :.
13. Katsnelson, E., Motro, U., Feldman, M. W. Lotem, A. 2008 : Early experience affects producer-scrounger foraging tendencies in the house sparrow. Anim. Behav. 75, 1465 1472. doi :.
14. Krause, J., Croft, D. P. James, R. 2007 : Social network theory in the behavioural sciences: potential applications. Behav. Ecol. Sociobiol. 52, 15 27. doi :.
15. Lacey, K. E. Martins, E. P. 2003 : The effect of anthropogenic habitat usage on the social behaviour of a vulnerable species, Cyclura nubile. Anim. Conserv., 6, 3 9. doi :.
16. Lusseau, D. 2003 : The emergent properties of a dolphin social network. Proc. R. Soc. B: Biol. Sci. 270, S186 S188. doi :.
17. Lusseau, D. Newman, M. E. J. 2004 : Identifying the role that animals play in their social networks. Proc. R. Soc. B: Biol. Sci. 271, S477 S481. doi :.
18. Mathot, K. J. Giraldeau, L.-A. 2008 : Increasing vulnerability to predation increases preference for the scrounger foraging tactic. Behav. Ecol. 19, 131 138. doi :.
19. McGregor, P. K. 2005 : Animal Communication Networks. Cambridge Univ. Press, Cambridge UK.
20. Newman, M. E. J. 2003 : The structure and function of complex networks. SIAM Review 45, 167 256.
21. Newman, M. E. J., Forrest, S. Balthrop, J. 2002 : Email networks and the spread of computer viruses. Phys. Rev. E 66, 1 4. doi :.
22. R Development Core Team. 2005 : R: A Language and Environment for Statistical Computing, Reference Index Version 2.2.1. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0 [ http://www.R-project.org ].
23. Seid, M. A. Traniello, J. F. A. 2006 : Age-related repertoire expansion and division of labor in Pheidole dentata (Hymenoptera: Formicidae): a new perspective on temporal polyethism and behavioral plasticity in ants. Behav. Ecol. Sociobiol. 60, 631 644. doi :.
24. Sundaresan, S. R., Fischhoff, I. R., Dushoff, J. Rubenstein, D. I. 2007 : Network metrics reveal differences in social organization between two fission-fusion species, Grevy's zebra and onager. Oecologia 151, 140 149.
25. Shuster, S. M. Wade, M. J. 2003 : Mating Systems and Strategies. Princeton Univ. Press, Princeton, NJ, USA.
26. Vital, C. Martins, E. P. 2007 : SocANet: Software for Analyzing Animal Social Networks. [ http://www.indiana.edu/∼martinsl/Programs/SocANet ].
27. Wasserman, S. Faust, K. 1994 : Social Network Analysis: Methods and Applications. Cambridge Univ. Press, Cambridge, UK.
28. Watts, D. J. Strogatz, S. H. 1998 : Collective dynamics of 'small-world' networks. Nature 393, 440 442. doi :.
29. Wey, T., Blumstein, D. T., Shen, W. Jordán, F. 2008 : Social network analysis of animal behaviour: a promising tool for the study of sociality. Anim. Behav. 75, 333 344. doi :.