Social networks under stress

25th International World Wide Web Conference, WWW 2016

Volumn , Issue , 2016, Pages 9-20

  Romero, Daniel M ^a   Uzzi, Brian ^b   Kleinberg, Jon ^c  

^a UNIVERSITY OF MICHIGAN   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c Cornell University ^*  (United States)

Author keywords

Col lective Behavior.; Organizations; Social Networks; Temporal Dynamics

Indexed keywords

COSTS; DECISION MAKING; SOCIETIES AND INSTITUTIONS; WORLD WIDE WEB;

AFFECTIVE PROCESS; COL-LECTIVE BEHAVIOR; INSTANT MESSAGES; KNOWLEDGE-SHARING; LOCAL OPTIMALITY; NETWORK STRUCTURES; PREDICTIVE RELATIONSHIPS; TEMPORAL DYNAMICS;

SOCIAL NETWORKING (ONLINE);

EID: 85029421826     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2872427.2883063l     Document Type: Conference Paper

References (52)

1. Newman MEJ. (2003). The structure and function of complex networks. SIAM Review, 45:167-256, 2003.
2. Jackson MO. (2008). Social and Economic Networks, Princeton University Press.
3. Lazer D. et al (2009), Computational social science, Science 323:721-723.
4. Easley DA. and Kleinberg JM. (2010). Networks, Crowds, and Markets, Cambridge University Press.
5. Newman MEJ. (2010). Networks: An Introduction, Oxford University Press.
6. Barabasi AL., Newman MEJ., and Watts DJ. (2006). The Structure and Dynamics of Networks, Princeton University Press.
7. Chakrabarti D. and Faloutsos C. (2012). Graph Mining: Laws, Tools, and Case Studies. Morgan and Claypool.
8. Kossinets, G. and Watts, DJ. (2006) Empirical analysis of an evolving social network. Science, 311(5757):88-90.
9. Kossinets, G., Kleinberg, J., and Watts, D. (2008) The structure of information pathways in a social communication network. In ACM Proc. KDD 435-443.
10. Leskovec, J., Kleinberg, J., and Faloutsos, C. (2007). Graph evolution: Densification and shrinking diameters. ACM Transactions on Knowledge Discovery from Data, 1(1):2.
11. Saavedra, S., Hagerty, K., and Uzzi, B. (2011). Synchronicity, instant messaging, and performance among financial traders. Proceedings of the National Academy of Sciences 108(13):5296-5301.
12. Qing, K. and Ahn, YY. (2014) Tie strength distribution in scientific collaboration networks. Physical Review E 90(3): 032804.
13. Ahn, YY., Han, S., Kwak, H., Moon, S., and Jeong, H. (2007). Analysis of topological characteristics of huge online social networking services. Proceedings of the 16th International Conference on World Wide Web 835-844.
14. Peel, L. and Clauset, A. (2015). Detecting change points in the large-scale structure of evolving networks. Proceedings of the 29th International Conference on Artificial Intelligence 2914-2920.
15. Weng, L., Ratkiewicz, J., Perra, N., Goncalves, B., Castillo, C., Bonchi, F., Schifanella, R., Menczer, F., and Flammini, A. (2013). The role of information diffiusion in the evolution of social networks. In Proceedings of the 19th ACM SIGKDD International Conference on Knowledge discovery and data mining 356-364.
16. Viswanath, B., Mislove, A., Cha, M., and Gummadi, KP. (2009). On the evolution of user interaction in Facebook. In Proceedings of the 2nd ACM workshop on Online social networks 37-42.
17. Gilbert, CG. (2005) Unbundling the structure of inertia: Resource versus routine rigidity. Academy of Management Journal 48(5):741-763.
18. Butts, C. T., Petrescu-Prahova, M., and Remy Cross, B. (2007). Responder communication networks in the World Trade Center disaster: Implications for modeling of communication within emergency settings. Mathematical Sociology, 31(2):121-147.
19. Dutta, S., and Rao, H. (2015). Infectious diseases, contamination rumors and ethnic violence: Regimental mutinies in the Bengal Native Army in 1857 India. Organizational Behavior and Human Decision Processes, 129:36-47.
20. Perrow, C. (2011). Normal accidents: Living with high risk technologies. Princeton University Press.
21. Burt, RS. (1992) Structural Holes: The Social Structure of Competition. Harvard University Press.
22. Menon, T., and Smith, EB. (2014) Identities in ux: Cognitive network activation in times of change. Social science research 45:117-130.
23. Smith, EB., Menon, T., and Thompson, L. (2012) Status differences in the cognitive activation of social networks. Organization Science 23(1):67-82.
24. Granovetter, MS. (1973). The strength of weak ties. American journal of sociology 1360-1380.
25. Coleman, JS. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94:95-120.
26. Granovetter, MS. (1985). Economic action, social structure, and embeddedness. American Journal of Sociology 91:481-510.
27. Ellis, AP. (2006) System breakdown: The role of mental models and transactive memory in the relationship between acute stress and team performance. Academy of Management Journal 49(3):576-589.
28. Adamic, L. and Adar, E. (2005) How to search a social network. Social Networks 27(3):187-203.
29. Brass, DJ., Galaskiewicz, J., Greve, HR., and Tsai, W. (2004) Taking stock of networks and organizations: A multilevel perspective. Academy of management journal 47(6):795-817.
30. Diesner, J., Frantz, T-L., and Carley, K-M. (2005) Communication networks from the Enron email corpus \it's always about the people. Enron is no different". Computational & Mathematical Organization Theory 11(3):201-228.
31. Dodds, PS., Watts, DJ., and Sabel, CF. (2003) Information exchange and the robustness of organizational networks. Proceedings of the National Academy of Sciences 100(21):12516-12521.
32. Kildu M. and Shipilov AV. (Eds) (2011). Organizational Network Research. SAGE Publications.
33. Klimt, B. and Yang, Y. (2004) The enron corpus: A new dataset for email classification research. Machine learning: ECML. 217-226.
34. Uzzi B. (1996). The Sources and Consequences of Embeddedness for the Economic Performance of Organizations: The Network Effect. Am. Sociol. Rev. 61:674-698
35. Fenton-O'Creevy, M., Soane, E., Nicholson, N., Willman, P. (2011). Thinking, feeling and deciding: The inuence of emotions on the decision making and performance of traders. Journal of Organizational Behavior 32(8) 1044-1061.
36. Lo, AW., Repin, DW. (2002). The psychophysiology of real-Time financial risk processing. Journal of cognitive neuroscience 14:323-339.
37. Preis, T., Moat, HS., Stanley, HE. (2013). Quantifying Trading Behavior in Financial Markets Using Google Trends. Nature Scientific Report 3:1684.
38. Saavedra, S., Malmgren, RD., Switanek, N., Uzzi, B. (2013). Foraging under Conditions of Short-Term Exploitative Competition: The Case of Stock Traders. Proceedings of the Royal Society of London B: Biological Sciences 1471-2954.
39. Gell-Mann, M., Lloyd S. (1996). Information measures, Effective Complexity, and Total Information. Complexity 2(1):44-52.
40. Fama E., (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The journal of Finance 25(2):383-417.
41. Whaley, R. E. (2000). The investor fear gauge. The Journal of Portfolio Management 26(3) 12-17.
42. Staw BM., Sandelands LE., Dutton JE. (1981) Threat-rigidity Effects in organizational behavior: A multilevel analysis. Administrative Science Quarterly 26:501-524.
43. De Choudhury, M., Mason, W. A., Hofman, J. M., and Watts, D. J. (2010). Inferring relevant social networks from interpersonal communication. In Proceedings of the 19th International Conference on World Wide Web 301-310.
44. Bhargava, A., Franzini, L., and Narendranathan, W. (1982). Serial correlation and the fixed Effects model. The Review of Economic Studies 49(4): 533-549.
45. Durbin, J., and Watson, GS. (1950). Testing for serial correlation in least squares regression. I. Biometrika 37(3-4): 409-428.
46. Kahneman, D. (2011). Thinking, fast and slow. Macmillan.
47. Tetlock, PC. (2007). Giving content to investor sentiment: The role of media in the stock market. The Journal of Finance 62(3):1139-1168.
48. Agarwal, S., Duchin, R., and Sosyura, D. (2012). In the Mood for a Loan: The Causal Effect of Sentiment on Credit Origination. Available at SSRN 2141030.
49. Kramer, AD., Guillory, JE., Hancock, JT. (2014) Experimental Evidence of Massive-scale Emotional Contagion Through Social Networks. Proceedings of the National Academy of Sciences 111(24):8788-8790.
50. Coviello, L., Sohn, Y., Kramer, AD., Marlow, C., Franceschetti, M., Christakis, NA., Fowler, JH. (2014). Detecting Emotional Contagion in Massive Social Networks. PLoS ONE 9(3):e90315.
51. Saavedra, S., Reed-Tsochas, F., Uzzi, B. (2008). Asymmetric disassembly and robustness in declining networks. Proceedings of the National Academy of Sciences 105(43): 16466-16471.
52. Powell, W. (2003). Neither market nor hierarchy. it The sociology of organizations: classic, contemporary, and critical readings 315:104-117.