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Do People Who Identify as Popular Become Popular in a New Network? A 9-Month Longitudinal Network Analysis Cover

Do People Who Identify as Popular Become Popular in a New Network? A 9-Month Longitudinal Network Analysis

Open Access
|Feb 2019

References

  1. Barnett, G. A., & Benefield, G. A. (2017). Predicting international Facebook ties through cultural homophily and other factors. New Media & Society, 19, 217–239. 10.1177/1461444815604421
  2. Borgatti, S. P., Carley, K. M., & Krackhardt, D. (2006). On the robustness of centrality measures under conditions of imperfect data. Social Networks, 28, 124–136. 10.1016/j.socnet.2005.05.001
  3. Borgatti, S. P., Everett, M., & Freeman, L. C. (2002). UCINET for windows: Software for social network analysis. Harvard, MA: Analytic Technologies.
  4. Borgatti, S. P., Everett, M. G., & Johnson, J. C. (2013). Analyzing social networks. Thousand Oaks, CA: Sage.
  5. Boster, F. J., Carpenter, C. J., Andrews, K. R., & Mongeau, P. A. (2012). Employing interpersonal influence to promote behavioral change. Health Communication, 27, 399–407. 10.1080/10410236.2011.595771
  6. Boster, F. J., Kotowski, M. R., Andrews, K. R., & Serota, K. (2011). Identifying influence: Development and validation of the connectivity, persuasiveness, and maven scales. Journal of Communication, 61, 178–197. 10.1111/j.1460-2466.2010.01531.x
  7. Brass, D. J., & Krackhardt, D. M. (2012). Power, politics, and social networks in organizations. In G. R. Ferris & D. C. Treadway (Eds.), Politics in organizations: Theory and research considerations (pp. 355–375). New York, NY: Taylor & Francsis.
  8. Brewer, D. D., & Webster, C. M. (1999). Forgetting of friends and its effects on measuring friendship networks. Social Networks, 2, 361–373. 10.1016/S0378-8733(99)00018-0
  9. Burt, R. S. (1992). Structural Holes. Cambridge, MA: Harvard University Press.
  10. Burt, R. S. (1999). The social capital of opinion leaders. Annals of the American Academy of Political and Social Science, 566, 37–54. 10.1177/0002716299566001004
  11. Burt, R. S. (2004). Structural holes and good ideas. The American Journal of Sociology, 110, 349–399. 10.1086/421787
  12. Burt, R. S., & Ronchi, D. (2007). Teaching executives to see social capital: Results from a field experiment. Social Science Research, 36, 1156–1183. 10.1016/j.ssresearch. 2006.09.005
  13. Carpenter, C. J., Boster, F. J., Kotowski, M. R., & Day, J. (2015). Evidence for the validity of a social connectedness scale: Connectors amass bridging social capital online and offline. Communication Quarterly, 63, 119–134. 10.1080/01463373.2015.1012217
  14. Dearing, J. W. (2004). Improving the state of health programming by using diffusion theory. Journal of Health Communication, 9, 21–36. 10810730490271502
  15. Ellison, N. B., Steinfield, C., & Lampe, C. (2011). Connection strategies: Social capital implications of Facebook-enabled communication practices. New media & Society, 13, 837–892. 10.1177/1461444810385389
  16. Fang, R., Chi, L., Chen, M., & Baron, R. A. (2015). Bringing political skill into social netoworks: Findings from a field study of entrepreneurs. Journal of Management Studies, 52, 175–212. 10.1111/joms.12107
  17. Fang, R., Landis, B., Zhang, Z., Anderson, M. H., Shaw, J. D., & Kilduff, M. (2015). Integrating personality and social networks: A meta-analysis of personality, network position, and work outcomes in organizations. Organization Science, 26, 1243–1260. 10.1287/orsc.2015.0972
  18. Festinger, L., Schachter, S., & Back, K. W. (1950). The spatial ecology of group formation. In L. Festinger, S. Schachter, & K. W. Back (Eds.), Social Pressure in Informal Groups (pp. 141–161). Palo Alto, CA: Stanford University Press.
  19. Fink, E. L., High, A., & Smith, R. A. (2014). Compliance dynamics within a friendship network II: Structural positions used to garner social support. Human Communication Research, 41, 21–54. 10.1111/hcre.12038
  20. Freeman, L. C. (1978/1979). Centrality in networks: Conceptual clarification. Social Networks, 1, 215–239. 10.1016/0378-8733(78)90021-7
  21. French, J. R. P., & Raven, B. (1959). The bases of social power. In D. Cartwright (Ed.), Studies in social power (pp. 150–167). Ann Arbor, MI: University of Michigan Institute for Social Research.
  22. Hox, J. (2010). Multilevel analysis: Techniques and applications. Mahwah, NJ: Erlbaum.
  23. Huang, W., Hong, S. H., & Eades, P. (2005). Layout effects on sociogram perception. Proceedings of Graph Drawing, 3843, 262–273. 10.1007/11618058_24
  24. Huisman, M., & Snijders, T. A. (2003). Statistical analysis of longitudinal network data with changing composition. Sociological Methods & Research, 32, 253–287. 10.1177/0049124103256096
  25. Katz, E. & Lazarsfeld, P. F. (1955). Personal Influence: The part played by people in the flow of mass communications. New York, NY: The Free Press.
  26. Keller, E., & Berry, J. (2003). The Influentials. New York, NY: The Free Press.
  27. Klein, K. J., Lim, B. C., Saltz, J. L., & Mayer, D. M. (2004). How do they get there? An examination of the antecedents of centrality in team networks. Academy of Management Journal, 47, 952–963. 10.2307/20159634
  28. Kossinets, G., & Watts, D. J. (2006). Empirical analysis of an evolving social network. Science, 311, 88–90. 10.1126/science.1116869
  29. Krackhardt, D. (1990). Assessing the political landscape: Structure, Cognition, and Power in Organizations. Administrative Science Quarterly, 35, 342–369.
  30. Lazer, D., Rubineau, B., Chetkovich, C., Katz, N., & Neblo, M. (2010). The coevolution of networks and political attitudes. Political Communication, 27, 248–274. 10.1080/10584609.2010.500187
  31. Lospinoso, J. A., Schweinberger, M., Snijders, T. A. B., and Ripley, R. M. (2011). Assessing and accounting for time heterogeneity in stochastic actor oriented models. Advances in Data Analysis and Computation, 5, 147–176. 10.1007/s11634-010-0076-1
  32. Mayer, A., & Puller, S. L. (2008). The old boy (and girl) network: Social network formation on university campuses. Journal of Public Economics, 92, 329–347. 10.1016/j.jpubeco.2007.09.001
  33. McEwan, B., & Guerrero, L. K. (2012). Maintenance behavior and relationship quality as predictors of perceived availability of resources in newly formed college friendship networks. Communication Studies, 63, 421–440. 10.1080/10510974.2011.639433
  34. Meng, J. (2016). Your health buddies matter: Preferential selection and social influence on weight management in an online health social network. Health Communication, 31, 1460–1471. 10.1080/10410236.2015.1079760
  35. Monge, P. R., & Contractor, N. S. (2003). Theories of communication networks. Oxford, UK: Oxford University Press.
  36. Newcomb, T. M. (1961). The acquaintance process. New York, NY: Holt, Rinehart, & Winston.
  37. Niven, K., Garcia, D., Lowe, I. V. D., Holman, D., & Mansell, W. (2015). Becoming popular: Interpersonal emotion regulation predicts relationship formation in real life social networks. Frontiers in Psychology, 6. 10.3389/fpsyg.2015.01452
  38. Obstfeld, D. (2005). Social networks, the tertius iungens orientation, and involvement in innovation. Administrative Science Quarterly, 50, 100–130.
  39. Ortiz-Arroyo, D. (2010). Discovering sets of key players in social networks. In A. Abraham, A. Hassanien, & V. Snášel (Eds.), Computational social network analysis: Trends, tools, and research advances (pp. 27–48). London, UK: Springer-Verlag
  40. Osgood, D. W., Feinberg, M. E., & Ragan, D. T. (2015). Social networks and the diffusion of adolescent problem behavior: reliable estimates of selection and influence from sixth through ninth grades. Prevention Science, 16, 832–843. 10.1007/s11121-015-0558-7
  41. Parks, M. R. (1977). Anomia and close friendship communication networks. Human Communication Research, 4, 48–57.
  42. Parks, M. R. (2016). Social networks and relationships. In C. R. Berger and M. E. Roloff (eds.), The International Encyclopedia of Interpersonal Communication (1st ed.), pp. 1–9. New York, NY: Wiley & Sons. 10.1002/9781118540190.wbeic0066
  43. Parks, M. R. (2017). Embracing the challenges and opportunities of mixed-media relationships. Human Communication Research, 43, 505–517. 10.1111/hcre.12125
  44. Ripley, R. M., Snijders, T.A., Boda, Z., Vörös, A., & Preciado, P. (2015). Manual for SIENA version 4.0. Oxford: University of Oxford, Department of Statistics; Nuffield College.
  45. Segrin, C., & Kinney, T. (1995). Social skills deficits among the socially anxious: Rejection from others and loneliness. Motivation and Emotion, 19, 1–24. 10.1007/bf02260670
  46. Selden, M., & Goodie, A. S. (2018). Review of the effects of Five Factor Model personality traits on network structures and perceptions of structure. Social Networks, 52, 81–99. 10.1016/j.socnet.2017.05.007
  47. Shumate, M. (2012). The evolution of the HIV/AIDS NGO hyperlink network. Journal of Computer‐Mediated Communication, 17, 120–134. 10.1111/j.1083-6101.2011.01569.x
  48. Sluzki, C. E. (2010). Personal social networks and health: Conceptual and clinical implications of their reciprocal impact. Families, Systems, & Health, 28, 1–18. 10.1037/a0019061
  49. Smith, J., & Moody, J. (2013). Structural effects of network sampling coverage I: Nodes missing at random. Social Networks, 35, 652–668. 10.1016/j.socnet.2013.09.003
  50. Smith, R. A., & Carpenter, C. J. (2018). Who persuades who? An analysis of persuasion Choices related to antibiotic-free food. Health Communication, 33, 478–488. 10.1080/10410236.2016.1278498
  51. Smith, R. A., & Fink, E. L. (2010). Compliance dynamics within a simulated friendship network I: The effects of agency, tactic, and node centrality. Human Communication Research, 36, 232–260. 10.1111/j.1468-2958.2010.01375.x
  52. Smith, R. A., & Fink, E. L. (2015). Understanding the influential people and social structures shaping compliance. Journal of Social Structure, 16.
  53. Smith, R. A., Zhu, X., & Fink, E. L. (2017). Understanding the effects of stigma messages: Danger appraisal and message judgments. Health Communication. Advance online publication. 10.1080/10410236.2017.1405487
  54. Snijders, T. A. (2001). The statistical evaluation of social network dynamics. Sociological Methodology, 31, 361–395. 10.1111/0081-1750.00099
  55. Snijders, T. A. B. (2005). Models for longitudinal network data. In P., Carrington, J., Scott, & S., Wasserman. (Eds.) Models and Methods in Social Network Analysis, pp. 215–247. New York, NY: Cambridge University Press.
  56. Snijders, T. A. B. (2007). Analyzing dynamics of non-directed social networks. Retrieved from https://www.stats.ox.ac.uk/~snijders/siena/TwoSided_sa.pdf.
  57. Snijders, T.A.B., van de Bunt, G.G., & Steglich, C.E.G. (2010). Introduction to actor-based models for network dynamics. Social Networks, 32, 44–60. 10.1016/j.socnet.2009.02.004
  58. Steglich, C., Sinclair, P., Holliday, J., & Moore, L. (2012). Actor-based analysis of peer influence in A Stop Smoking In Schools Trial (ASSIST). Social Networks, 34, 359–369. 10.1016/j.socnet.2010.07.001
  59. Stephanone, M. A., Iacobucci, A., & Svetieva, E. (2016). Developing the network awareness construct: Evidence supporting the ability to understand novel social situations. Proceedings of the 49th Hawaii International Conference on System Science (pp. 2028–2037). 10.1109/HICSS.2016.256
  60. Thompson, J. A. (2005). Proactive personality and job performance: A social capital perspective. Journal of Applied Psychology, 90, 1011–1017. 10.1037/0021-9010.90.5.1011
  61. Totterdell, P., Holman, D., & Hukin, A. (2008). Social networkers: Measuring and examining individual differences in propensity to connect with others. Social Networks, 30, 283–296. 10.1016/j.socnet.2008.04.003
  62. Valente, T. W. (2012). Network interventions. Science, 337, 49–53. 10.1126/science.1217330
  63. Valente, T. W., & Pumpuang, P. (2007). Identifying opinion leaders to promote behavior change. Health Education & Behavior, 34, 881–896. 10.1177/1090198106297855
  64. Wang, D. J., Shi, X., McFarland, D. A., & Leskovec, J. (2012). Measurement error in network data: A re-classification. Social Networks, 34, 396–409. 10.1016/j.socnet.2012.01.003
  65. Whitbred, R., Fonti, F., Steglich, C., & Contractor, N. (2011). From microactions to macrostructure and back: A structurational approach to the evolution of organizational networks. Human Communication Research, 37, 404–433. 10.1111/j.1468-2958.2011.01404.x
DOI: https://doi.org/10.21307/joss-2019-001 | Journal eISSN: 1529-1227 | Journal ISSN: 2300-0422
Language: English
Page range: 1 - 24
Published on: Feb 11, 2019
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Christopher J. Carpenter, Xun Zhu, Rachel A. Smith, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 20 (2019): Issue 1 (January 2019)