Network formation and knowledge gains

Christina Prell*, Yi-Jung Lo

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

13 Citations (Scopus)

Abstract

Incentive-based models for network formation link micro actions to changes in network structure. Sociologists have extended these models on a number of fronts, but there remains a tendency to treat actors as homogenous agents and to disregard social theory. Drawing upon literature on the strategic use of networks for knowledge gains, we specify models exploring the co-evolution of networks and knowledge gains. Our findings suggest that pursuing transitive ties is the most successful strategy, as more reciprocity and cycling result from this pursuit, thus encouraging learning across the network. We also discuss the role of network size, global network structure, and parameter strength in actors' attainment of knowledge resources.

Original languageEnglish
Pages (from-to)21-52
Number of pages32
JournalJournal of Mathematical Sociology
Volume40
Issue number1
DOIs
Publication statusPublished - 2-Jan-2016
Externally publishedYes

Keywords

  • Learning
  • network evolution
  • rational choice
  • social networks
  • utility models
  • SOCIAL NETWORKS
  • EXCHANGE NETWORKS
  • SMALL-WORLD
  • ECONOMIC NETWORKS
  • STATUS ATTAINMENT
  • STRUCTURAL HOLES
  • TRADE-OFF
  • WEAK TIES
  • POWER
  • ORGANIZATIONS

Cite this