Krackhardt developed and showed the consequences of “cognitive social structures”, which capture how networks are perceived in a social environment.[3][4] He created the E-I index, which describes the extent to which an organization is either silo-like or integrated in its informal structure and demonstrated how these structures affect an organization’s ability to deal with crises.[5] He also developed a set of graph theory-based measures of informal organizations for assessing an organization’s ability to confront a variety of strategic issues.[6][7] In social network theory, perhaps he is best known for his concepts of “Philos ties”[8] and the “Simmelian tie”,[9][10][11][12] which underscore the importance of, respectively, tie content and the local context in which network relations occur. Methodologically, his major contribution has been the development of the Multiple Regression Quadratic Assignment Procedure (MRQAP), a non-parametric approach to statistical analysis of network data.[13][14][15]
Selected publications
Books
Interpersonal Networks in Organizations: Cognition, Personality, Dynamics, and Culture, with Martin Kilduff, CUP (Structural Analysis in the Social Sciences), 2008. ISBN0-521-86660-X
Krackhardt, D., & R. Stern (1988). Informal Networks and Organizational Crises: An Experimental Simulation. Social Psychology Quarterly, 51:123-140.
Krackhardt, D. (1992). The Strength of Strong Ties: The Importance of Philos in Organizations. In N. Nohria & R. Eccles (eds.), Networks and Organizations: Structure, Form, and Action. Boston: Harvard Business School Press, pp. 216–239.
Krackhardt, D. (1999). The Ties that Torture: Simmelian Tie Analysis in Organizations. Research in the Sociology of Organizations, 16:183-210.
Krackhardt, D. & M. Kilduff (1999). Whether Close or Far: Perceptions of Balance in Friendship Networks in Organizations. Journal of Personality and Social Psychology, 76:770-782.
Tortoriello, M., & D. Krackhardt (2010). Activating Cross-Boundary Knowledge: The Role of Simmelian Ties in the Generation of Innovations. Academy of Management Journal, 53:167-181.
^Krackhardt, D. (1987). “Cognitive Social Structures.” Social Networks, 9: 109-134
^Krackhardt, D. (1990). “Assessing the Political Landscape: Structure, Cognition and Power in Organizations.” Administrative Science Quarterly, 35:342-369
^Krackhardt, D., & R. Stern (1988). “Informal Networks and Organizational Crises: An Experimental Simulation.” Social Psychology Quarterly, 51:123-140
^Krackhardt, D. (1994). “Graph Theoretical Dimensions of Informal Organizations.” In K. Carley & M. Prietula (eds.), Computational Organizational Theory. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc. pp. 89-111
^Everett, M. & D. Krackhardt (2012). “A Second Look at Krackhardt’s Graph Theoretical Dimensions of Informal Organizations.” Social Networks, 34(2): 159-163
^Krackhardt, D. (1992). “The Strength of Strong Ties: The Importance of Philos in Organizations.” In N. Nohria & R. Eccles (eds.), Networks and Organizations: Structure, Form, and Action. Boston: Harvard Business School Press, pp. 216-239
^Krackhardt, D. (1999). “The Ties that Torture: Simmelian Tie Analysis in Organizations”. Research in the Sociology of Organizations, 16:183-210
^Krackhardt, D. (1998). “Simmelian Ties: Super Strong and Sticky.” In R. Kramer & M. Neale (eds.), Power and Influence in Organizations. Thousand Oaks, CA: Sage, pp. 21-38
^Krackhardt, D. & M. Kilduff (1999). “Whether Close or Far: Perceptions of Balance in Friendship Networks in Organizations.” Journal of Personality and Social Psychology, 76:770-782
^Tortoriello, M., & D. Krackhardt (2010). “”Activating Cross-Boundary Knowledge: The Role of Simmelian Ties in the Generation of Innovations.” Academy of Management Journal, 53:167-181
^Krackhardt, D. (1987). “QAP Partialling as a Test of Spuriousness.” Social Networks, 9:171-186
^Krackhardt, D. (1988). “Predicting with Networks: A Multiple Regression Approach to Analyzing Dyadic Data.” Social Networks, 10:359-381
^Dekker, D., D. Krackhardt, & T. A. B. Snijders (2007). “Sensitivity of MRQAP Tests to Collinearity and Autocorrelation Conditions.” Psychometrika, 72:563-581