Understanding the group dynamics and success of teams

Royal Society Open Science

Volumn 3, Issue 4, 2016, Pages

  Klug, Michael ^a   Bagrow, James P ^a,b  

^a University of Vermont   (United States)

^b UNIVERSITY OF VERMONT   (United States)

Author keywords

Collective dynamics; Data science; Open source software; Teamwork

Indexed keywords

EID: 84964066442     PISSN: None     EISSN: 20545703     Source Type: Journal    
DOI: 10.1098/rsos.160007     Document Type: Article

References (54)

1. Lazer D et al. 2009. Life in the network: the coming age of computational social science. Science 323, 721-723. (doi:10.1126/science.1167742)
2. Vespignani A. 2012. Modelling dynamical processes in complex socio-technical systems. Nat. Phys. 8, 32-39. (doi:10.1038/nphys2160)
3. Dyer JR, Johansson A, Helbing D, Couzin ID, Krause J. 2009. Leadership, consensus decision making and collective behaviour in humans. Phil. Trans. R. Soc. B 364, 781-789. (doi:10.1098/rstb.2008.0233)
4. Pentland A. 2012. The new science of building great teams. Harv. Bus. Rev. 90, 60-69.
5. Choudhury T, Pentland A. 2003. Sensing and modelling human networks using the sociometer. In 2012 16th Int. Symp. onWearable Computers, p. 216.
6. Barabási AL. 2003. Linked: how everything is connected to everything else and what itmeans for business, science, and everyday life. NewYork, NY: Plume.
7. Newman MEJ. 2010. Networks: an introduction. Oxford, UK: Oxford University Press.
8. Wasserman S, Faust K. 1994. Social network analysis: methods and applications. Cambridge, UK: Cambridge University Press.
9. Sparrowe RT, Liden RC, Wayne SJ, KraimerML. 2001. Social networks and the performance of individuals and groups. Acad. Manage. J. 44, 316-325. (doi:10.2307/3069458)
10. Girvan M, Newman MEJ. 2002. Community structure in social and biological networks. Proc. Natl Acad. Sci. USA 99, 7821-7826. (doi:10.1073/pnas. 122653799)
11. Watts DJ, Dodds PS, Newman MEJ. 2002. Identity and search in social networks. Science 296, 1302-1305. (doi:10.1126/science.1070120)
12. Newman MEJ, Park J. 2003Why social networks are different from other types of networks. Phys. Rev. E. 68, 036122. (doi:10.1103/PhysRevE.68. 036122)
13. Bird C, Pattison D, D'Souza R, Filkov V, Devanbu P. 2008. Latent social structure in open source projects. In Proc. of the 16th ACM SIGSOFT Int. Symp. on Foundations of Software Engineering. SIGSOFT '08/FSE-16, pp. 24-35. New York, NY: ACM.
14. Ahn YY, Bagrow JP, Lehmann S. 2010. Link communities reveal multiscale complexity in networks. Nature 466, 761-764. (doi:10.1038/ nature09182)
15. Mucha PJ, Richardson T, Macon K, Porter MA, Onnela JP. 2010. Community structure in time-dependent, multiscale, and multiplex networks. Science 328, 876-878. (doi:10.1126/science.1184819)
16. Palla G, Barabási AL, Vicsek T. 2007. Quantifying social group evolution. Nature 446, 664-667. (doi:10.1038/nature05670)
17. Brooks Jr FP. 1995. Themythicalman-month. Boston, MA: Pearson Education.
18. Faraj S, Sproull L. 2000. Coordinating expertise in software development teams. Manage. Sci. 46, 1554-1568. (doi:10.1287/mnsc.46.12.1554.12072)
19. Rising L, Janoff NS. 2000. The Scrum software development process for small teams. IEEE Softw. 17, 26-32. (doi:10.1109/52.854065)
20. Milojević S. 2014. Principles of scientific research team formation and evolution. Proc. Natl Acad. Sci. USA 111, 3984-3989. (doi:10.1073/pnas.130972 3111)
21. de Montjoye YA, Stopczynski A, Shmueli E, Pentland A, Lehmann S. 2014. The strength of the strongest ties in collaborative problem solving. Sci. Rep. 4, 5277. (doi:10.1038/srep05277)
22. Clauset A, Young M, Gleditsch KS. 2007. On the frequency of severe terrorist events. J. Confl. Resolut. 51, 58-87. (doi:10.1177/0022002706296157)
23. Bohorquez JC, Gourley S, Dixon AR, Spagat M, Johnson NF. 2009. Common ecology quantifies human insurgency. Nature 462, 911-914. (doi:10.1038/nature08631)
24. Henrich J. 2004. Demography and cultural evolution: how adaptive cultural processes can produce maladaptive losses: the Tasmanian case. Am. Antiquity 69, 197-214. (doi:10.2307/4128416)
25. Derex M, Beugin MP, Godelle B, Raymond M. 2013. Experimental evidence for the influence of group size on cultural complexity. Nature 503, 389-391. (doi:10.1038/nature12774)
26. Andersson C, Read D. 2014. Group size and cultural complexity. Nature 511, E1. (doi:10.1038/ nature13411)
27. Derex M, Beugin MP, Godelle B, Raymond M. 2014. Derex et al. reply. Nature 511, E2. (doi:10.1038/nature 13412)
28. Price DdS. 1963. Little science, big science. New York, NY: Columbia University Press.
29. Pao ML. 1992. Global and local collaborators: a study of scientific collaboration. Inf. Process Manage. 28, 99-109. (doi:10.1016/0306-4573(92)90096-I)
30. Hudson J. 1996. Trends in multi-authored papers in economics. J. Econ. Perspect. 10, 153-158. (doi:10.1257/jep.10.3.153)
31. Latane B, Williams K, Harkins S. 1979. Many hands make light the work: the causes and consequences of social loafing. J. Pers. Social Psychol. 37, 822-832. (doi:10.1037/0022-3514.37.6.822)
32. Harkins SG. 1987. Social loafing and social facilitation. J. Exp. Soc. Psychol. 23, 1-18. (doi:10.1016/0022-1031(87)90022-9)
33. Karau SJ, Williams KD. 1993. Social loafing: a meta-analytic review and theoretical integration. J. Pers. Soc. Psychol. 65, 681-706. (doi:10.1037/0022-3514.65.4.681)
34. Denis JL, Lamothe L, Langley A. 2001. The dynamics of collective leadership and strategic change in pluralistic organizations. Acad. Manage. J. 44, 809-837. (doi:10.2307/3069417)
35. Johnstone RA, Manica A. 2011. Evolution of personality differences in leadership. Proc. Natl Acad. Sci. USA 108, 8373-8378. (doi:10.1073/pnas. 1102191108)
36. Contractor NS, DeChurch LA, Carson J, Carter DR, Keegan B. 2012. The topology of collective leadership. Lead. Q. 23, 994-1011. (doi:10.1016/j.leaqua.2012.10.010)
37. Katzenbach JR, Smith DK. 1993. The wisdom of teams: creating the high-performance organization. Boston, MA: Harvard Business Press.
38. Delmar F, Shane S. 2006. Does experience matter? The effect of founding team experience on the survival and sales of newly founded ventures. Strateg. Organ. 4, 215-247. (doi:10.1177/ 1476127006066596)
39. Lindbeck A, Snower DJ. 2000. Multitask learning and the reorganization of work: from Tayloristic to holistic organization. J. Lab. Econ. 18, 353-376. (doi:10.1086/209962)
40. Postrel S. 2002. Islands of shared knowledge: specialization and mutual understanding in problem-solving teams. Organ. Sci. 13, 303-320. (doi:10.1287/orsc.13.3.303.2773)
41. Crowston K, Wei K, Howison J, Wiggins A. 2012. Free/Libre open-source software development: what we know and what we do not know. ACM Comput. Surv. 44, 1-35. (doi:10.1145/ 2089125.2089127)
42. Scholtes I, Mavrodiev P, Schweitzer F. In press. From Aristotle to Ringelmann: a large-scale analysis of team productivity and coordination in Open Source Software projects. Empir. Softw. Eng. (doi:10.1007/s10664-015-9406-4)
43. Albrecht AJ, Gaffney Jr JE. 1983. Software function, source lines of code, and development effort prediction: a software science validation. IEEE Trans. Softw. Eng. 9, 639-648. (doi:10.1109/TSE.1983. 235271)
44. Rosenberg J. 1997. Some misconceptions about lines of code. In Proc. of Fourth Int. Symp. on Software Metrics, pp. 137-142. New York, NY: IEEE.
45. Koch S, Schneider G. 2002. Effort, co-operation and co-ordination in an open source software project: GNOME. Inf. Syst. J. 12, 27-42. (doi:10.1046/j.1365-2575.2002.00110.x)
46. Alali A, Kagdi H, Maletic J. 2008What's a typical commit? A characterization of open source software repositories. In Proc. of the 16th IEEE Int. Conf. on ProgramComprehension, 2008, pp. 182-191. New York, NY: IEEE.
47. Crowston K, Howison J, Annabi H. 2006. Information systems success in free and open source software development: theory and measures. Softw. Process: Improv. Pract. 11, 123-148. (doi:10.1002/ spip.259)
48. Subramaniam C, Sen R, Nelson ML. 2009. Determinants of open source software project success: a longitudinal study. Decis. Support Syst. 46, 576-585. (doi:10.1016/j.dss.2008.10.005)
49. Ghapanchi AH, Aurum A, Low G. 2011. A taxonomy for measuring the success of open source software projects. First Monday 16. (doi:10.5210/fm. v16i8.3558)
50. Crowston K, Howison J. 2005. The social structure of free and open source software development. First Monday 10. (doi:10.5210/fm.v10i2.1207)
51. Mockus A, Fielding RT, Herbsleb JD. 2002. Two case studies of open source software development: apache and mozilla. ACMTrans. Softw. Eng. Methodol. 11, 309-346. (doi:10.1145/567793. 567795)
52. Wang D, Song C, Barabási AL. 2013. Quantifying long-term scientific impact. Science 342, 127-132. (doi:10.1126/science.1237825)
53. Kalliamvakou E, Gousios G, Blincoe K, Singer L, German DM, Damian D. 2014. The promises and perils of mining GitHub. In Proc. of the 11thWorking Conf. on Mining Software Repositories, pp. 92-101. New York, NY: ACM.
54. Horwitz SK, Horwitz IB. 2007. The effects of team diversity on team outcomes: a meta-analytic review of team demography. J. Manag. 33, 987-1015. (doi:10.1177/0149206307308587)