Arguments deriving from the importance of the strength of social ties between individuals are being applied in social and organizational analysis; however, lack of empirical verification of the components of the construct and lack of consistency in the use of proxy measures have made difficult the resolution of controversies surrounding the relative merits of strong and weak ties. This study examined the relations between predictors and indicators of Granovetter's 1973 construct of tie strength. Marsden and Campbell's 1984 finding of “contamination” of indicators by predictors is supported by this analysis.
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References
1.
BakerW. E. (1984) The structure of a national securities market. American Journal of Sociology, 89, 775–811.
2.
BelseyD. A.KuhE.WelschR. E. (1980) Regression diagnostics: Identifying influential data and sources of collinearity. New York: Wiley.
3.
BlauP.ScottW. R. (1992) The concept of formal organization. In ShafritzJ. M.OttJ. S. (Eds.), Classics of organization theory. Chicago, IL: Dorsey. Pp. 21–59.
4.
BreigerR. L.BoormanS. A.ArabieP. (1975) An algorithm for clustering relational data, with application to social network analysis and comparison with multidimensional scaling. Journal of Mathematical Psychology, 12, 328–383.
5.
BrownJ. J.ReingenP. H. (1987) Social ties and word-of-mouth referral behavior. Journal of Consumer Research, 14, 350–362.
6.
CrozierM. (1972) Relationships between micro and macro sociology. Human Relations, 25, 39–251.
7.
GranovetterM. S. (1973) The strength of weak ties. American Journal of Sociology, 78, 1360–1380.
8.
GranovetterM. S. (1974) Getting a job: A study of contacts and careers. Cambridge, MA: Harvard Univer. Press.
9.
GranovetterM. S. (1982) The strength of weak ties: A network theory revisited. In MarsdenP.LinN. (Eds.), Social structure and network analysis. Newbury Park, CA: Sage. Pp. 246–289.
10.
IacobucciD.HopkinsN. (1992) Modeling dyadic interactions and networks in marketing. Journal of Marketing Research, 29, 5–17.
11.
IbarraH. (1992) Homophily and differential returns: Sex differences in network structure and access in an advertising firm. Administrative Science Quarterly, 37, 422–447.
12.
JohnsonR. A.WichernD. W. (1988) Applied multivariate statistical analysis. Upper Saddle River, NJ: Prentice Hall.
13.
KleinbaumD. G.KupperL. L.MullerK. E. (1988) Applied regression analysis and other multivariate methods. Boston, MA: PWS–Kent.
14.
KnokeD.KuklinskiJ. H. (1982) Network analysis. Newbury Park, CA: Sage.
15.
KrackhardtD. (1987) Cognitive social structures. Social Networks, 9109–134.
16.
KrackhardtD. (1990) Assessing the political landscape: Structure, cognition and power in organizations. Administrative Science Quarterly, 35, 342–369.
17.
KrackhardtD.SternR. N. (1988) The structuring of informal organizations and the management of crisis. Social Psychology Quarterly, 51, 123–140.
18.
MarsdenP. V.CampbellK. E. (1984) Measuring tie strength. Social Forces, 63, 482–501.
19.
McPhersonJ. M.PopielarzP. A.DrobnicS. (1992) Social networks and organizational dynamics. American Sociological Review, 57, 153–170.
20.
MontgomeryJ. D. (1992) Job search and network connections: Implications of the strength-of-weak-ties hypothesis. American Sociological Review, 57, 586–596.
21.
MontgomeryJ. D. (1994) Weak ties, employment, and inequality: An equilibrium analysis. American Journal of Sociology, 99, 1212–1236.
22.
NelsonR. E. (1986) Social networks and organizational intervention: Insights from an area-wide labor-management committee. Journal of Applied Behavioral Science, 22, 65–76.
23.
NelsonR. E. (1989) The strength of strong ties: Social networks and intergroup conflict in organizations. Academy of Management Journal, 32, 377–401.
24.
NelsonR. E.MathewsK. M. (1991a) Cause maps and social network analysis in organizational analysis. Journal of Applied Behavioral Science, 27, 245–256.
25.
NelsonR. E.MathewsK. M. (1991b) Network characteristics of high performing organizations. The Journal of Business Communications, 28, 367–386.
26.
PattisonP. (1994) Social cognition in context: Some applications of social network analysis. In WassermanS.GalaskiewiczJ. (Eds.), Advances in social network analysis: Research in the social and behavior sciences. Thousand Oaks, CA: Sage. Pp. 79–109.
27.
PearceJ. A.IIIDavidD. L. (1983) A social network approach to organization design-performance. Academy of Management Review, 8, 436–444.
28.
PickeringJ. M.KingJ. L. (1995) Hardwiring weak ties: Interorganizational computer-mediated communication, occupational communities, and organizational change. Organization Science, 6, 479–486.
29.
SkvoretzJ.WillerD. (1993) Exclusion and power: A test of four theories of power in exchange networks. American Sociological Review, 58, 801–818.
30.
WalkerG. (1985) Network position and cognition in a computer software firm. Administrative Science Quarterly, 30, 103–130.
31.
WalkerM. E.WassermanS.WellmanB. (1994) Statistical models for social support networks. In WassermanS.GalaskiewiczJ. (Eds.), Advances in social network analysis: Research in the social and behavioral sciences. Thousand Oaks, CA: Sage. Pp. 53–78.
32.
WassermanS.GalaskiewiczJ. (1994) Advances in the social and behavioral sciences from social network analysis. In WassermanS.GalaskiewiczJ. (Eds.), Advances in social network analysis: Research in the social and behavioral sciences. Thousand Oaks, CA: Sage. Pp. 1–22.
