Friendship paradox redux: Your friends are more interesting than you

Proceedings of the 7th International Conference on Weblogs and Social Media, ICWSM 2013

Volumn , Issue , 2013, Pages 225-233

  Hodas, Nathan O ^a   Kooti, Farshad ^a   Lerman, Kristina ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIRECTED GRAPHS;

AVERAGE SIZE; FIRE-HOSE; INFORMATION FLOWS; INFORMATION RATES; ON-LINE COMMUNICATION;

SOCIAL NETWORKING (ONLINE);

EID: 84900451436     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (29)

1. Amuedo-Dorantes, C, and Mundra, K. 2007. Social networks and their impact on the earnings of mexican migrants. Demography 44(4):849-863.
2. Bickart, K.; Hollenbeck, M.; Barrett, L.; and Dickerson, B. 2012. Intrinsic amygdala-cortical functional connectivity predicts social network size in humans. The Journal of Neuroscience 32(42):14729-14741.
3. Christakis, N. A., and Fowler, J. H. 2010. Social network sensors for early detection of contagious outbreaks. PLoS ONE 5(9):e12948+.
4. Dunbar, R. 1993. Coevolution of neocortical size, group size and language in humans. Behavioral and brain sciences 16(4):681-693.
5. Feld, S. L. 1991. Why Your Friends Have More Friends Than You Do. American Journal of Sociology 96(6):1464-1477.
6. Garcia-Herranz, M.; Egido, E.; Cebrian, M.; Christakis, N.; and Fowler, J. 2012. Using friends as sensors to detect global-scale contagious outbreaks. arXivpreprint arXiv:1211.6512.
7. Ghosh, S.; Viswanath, B.; Kooti, F.; Sharma, N. K.; Gautam, K.; Benevenuto, F.; Ganguly, N.; and Gummadi, K. P. 2012. Understanding and Combating Link Farming in the Twitter Social Network. In Proceedings of the 21st International World Wide Web Conference (WWW'12).
8. Ghosh, R.; Surachawala, T.; and Lerman, K. 2011. Entropy-based classification of "retweeting" activity on twitter. In Proceedings of KDD workshop on Social Network Analysis (SNA-KDD).
9. Groeger, J., and Brown, I. 1989. Assessing one's own and others' driving ability: influences of sex, age, and experience. Accident Analysis and Prevention 21(2):155-168.
10. Hodas, N., and Lerman, K. 2012. How limited visibility and divided attention constrain social contagion. In ASE/IEEE International Conference on Social Computing.
11. Kanai, R.; Bahrami, B.; Duchaine, B.; Janik, A.; Banissy, M.; and Rees, G. 2012a. Brain structure links loneliness to social perception. Current Biology.
12. Kanai, R.; Bahrami, B.; Roylance, R.; and Rees, G. 2012b. Online social network size is reflected in human brain structure. Proceedings of the Royal Society B: Biological Sciences 279(1732):1327-1334.
13. Kwak, H.; Chun, H.; and Moon, S. 2011. Fragile online relationship: a first look at unfollow dynamics in twitter. In Proceedings of the 2011 annual conference on Human factors in computing systems, 1091-1100. ACM.
14. Lerman, K., and Galstyan, A. 2008. Analysis of social voting patterns on digg. In Proceedings of the 1st ACM SIGCOMM Workshop on Online Social Networks.
15. McKenna, F. P.; Stanier, R. A.; and Lewis, C. 1991. Factors underlying illusory self-assessment of driving skill in males and females. Accident Analysis and Prevention 23(1):45-52.
16. Morselli, C., and Tremblay, P. 2004. Criminal achievement, offender networks and the benefits of low self-control. Criminology 42(3):773-804.
17. Pollet, T.; Roberts, S.; and Dunbar, R. 2011. Extraverts have larger social network layers. Journal of Individual Differences 32(3):161-169.
18. Powell, J.; Lewis, P.; Roberts, N.; García-Fiñana, M.; and Dunbar, R. 2012. Orbital prefrontal cortex volume predicts social network size: an imaging study of individual differences in humans. Proceedings of the Royal Society B: Biological Sciences 279(1736):2157-2162.
19. Quercia, D.; Lambiotte, R.; Kosinski, M.; Stillwell, D.; and Crowcroft, J. 2012. The personality of popular facebook users. In Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work (CSCW'12).
20. Sgourev, S. 2006. Lake wobegon upside down: the paradox of status-devaluation. Social forces 84(3):1497-1519.
21. Sweller, J.; Merrienboer, J. J. G. V.; and Paas, F. G. W. C. 1998. Cognitive architecture and instructional design. Educational Psychology Review 10:251-296.
22. Tucker, J.; Green, H.; Zhou, A.; Miles, J.; Shih, R.; and DÕAmico, E. 2011. Substance use among middle school students: Associations with self-rated and peer-nominated popularity. Journal of adolescence 34(3):513-519.
23. Tucker, J.; Miles, J.; D'Amico, E.; Zhou, A.; Green, H.; and Shih, R. 2012. Temporal associations of popularity and alcohol use among middle school students. Journal of Adolescent Health.
24. Ugander, J.; Karrer, B.; Backstrom, L.; and Marlow, C. 2011. The Anatomy of the Facebook Social Graph.
25. Van Groenou, M., and Van Tilburg, T. 2003. Network size and support in old age: Differentials by socio-economic status in childhood and adulthood. Ageing and Society 23(05):625-645.
26. Wolfson, S. 2000. Students' estimates of the prevalence of drug use: Evidence for a false consensus effect. Psychology of Addictive Behaviors 14(3):295.
27. Yang, J., and Leskovec, J. 2011. Patterns of temporal variation in online media. In Proceedings of the fourth ACM international conference on Web search and data mining, WSDM '11, 177-186. New York, NY, USA: ACM.
28. Yoganarasimhan, H. 2012. Impact of social network structure on content propagation: A study using youtube data. Quantitative Marketing and Economics 10(1):111-150.
29. Zuckerman, E., and Jost, J. 2001. What makes you think you're so popular? self-evaluation maintenance and the subjective side of the "friendship paradox". Social Psychology Quarterly 207-223.