The Network Structure of Exploration and Exploitation

By David M. J. Lazer, Allan Friedman. 2007

748 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/df1f4f9a917f0a3a8aadab073a13d6915a42de09

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Citations in the corpus

Knowledge, Networks, and Knowledge Networks (2011, background): “…information diffusion and actor innovation (Abrahamson & Rosenkopf, 1997; Ebadi & Utterback, 1984), other research suggests the information diffusion benefit provided by increasing density comes at the cost of a reduction of information diversity within the network (Lazer & Friedman, 2007).”
How social influence can undermine the wisdom of crowd effect (2011, background): “Recent theoretical studies have analyzed the wisdom of crowd effect in the context of information diffusion in networks of simulated agents in which too little and too much dissemination of information inhibits actors to find optimal solutions, because there is a need to maintain diversity on the on”
Time and the Entrepreneurial Journey: The Problems and Promise of Studying Entrepreneurship as a Process (2013, background): “A major challenge for agent-based simulations relates to their verisimilitude (Lazer and Friedman, 2007), which refers to whether the assumptions necessary to simplify the model correspond to empirical circumstances.”
Reputation and impact in academic careers (2013, neutral): “[38] Lazer D, Friedman A (2007) The network structure of exploration and exploitation.”
The science of science: from the perspective of complex systems (2017, methodology): “For example, Lazer and Friedman [414] conducted an agent-based simulation and demonstrated that a ‘‘locally connected lattice’’ outperforms a ‘‘fully connected network’’ for determining the optimal solutions in the long run.”
Collaborative learning in networks (2011, methodology): “We note that although our problem spaces differ in some respects from prior work, they exhibit the essential features thought to advantage inefficient networks (11); indeed, the landscapes in question were designed explicitly to favor exploration.”
Models Are Stupid, and We Need More of Them (2017, neutral): “(Lazer & Friedman, 2007) Despite numerous efforts extolling the virtues of formal modeling (Epstein, 2008; Schank, 2001; Smith & Conrey, 2007; Marewski & Olsson, 2009; Farrell & Lewandowsky, 2010; Weinhardt & Vancouver, 2012; Smaldino, Calanchini, & Pickett, 2015), there remains widespread…”
The Diversity-Bandwidth Trade-off1 (2011, neutral): “…positioned to broker opportunities, make better decisions, and apply information to problems that are intractable given local knowledge (e.g., Hargadon and Sutton 1997; Reagans and Zuckerman 2001; Burt 2004; Rodan and Gallunic 2004; Van Alstyne and Brynjolfsson 2005; Lazer and Friedman 2007).”
What's Different about Social Media Networks? A Framework and Research Agenda (2014, result): “Similar trade-offs are widely recognized in previous studies of organizational knowledge sharing (Durcikova et al. 2011; Kane and Alavi 2007; Lazer and Friedman 2007).”
Structural Microfoundations of Innovation (2014, background): “Taken together, we have a limited level of understanding on how the development of individual-level social capital and human capital interact to result in firm-level knowledge advantages.”
Exploring the Locus of Invention: The Dynamics of Network Communities and Firms' Invention Productivity (2014, background): “This implies that remaining structurally separated from one another can help communities preserve their relatively diverse knowledge and resource bases (Gulati et al., 2012; Lazer & Friedman, 2007).”
Patterns and dynamics of users' behavior and interaction: Network analysis of an online community (2009, background): “Clearly, the fewer the intermediaries, the shorter the distance between the two users and the more quickly information can travel between them (Lazer & Friedman, 2007; Valente, 1995).”