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Strong Bridges: Trust Beyond Structure: Social Network Mechanisms

Autor Ronald S. Burt, Sonja Opper
en Limba Engleză Paperback – 10 iul 2026
Strong Bridges is a book about a contradiction and the opportunity it offers. For decades, social network theory has drawn its maps of advantage from the idea that brokers sit astride structural holes, reaping value from weak ties that bridge disconnected worlds. But what if some of those bridges are not weak? What if the real advantage lies not just in structure, but in trust forged in interpersonal history regardless of structure? This is the puzzle Strong Bridges takes up. It begins with guanxi, the colloquial Chinese term for relationship advantage, often dismissed as cultural peculiarity or corruption. But the authors treat guanxi as a strategic research site, not a cultural relic. They view it a niche-word pointing to a broader category of human experience. Combining analytic rigor with quality network data, they pull apart the Siamese twins of tie strength and network structure, documenting the prevalence and competitive value of high-trust ties that span structural holes, i.e., strong bridges. The book offers two discovery stories; one empirical, one theoretical. The first tracks how guanxi bridges operate in the personal networks of Chinese entrepreneurs. The second reshapes core assumptions in network theory. Across industries, events, and even a pandemic, strong bridges emerge as resilient assets distinct from embedded ties, more predictive of cooperation, and more durable than theory currently expects. This is a book about the anatomy of network advantage. It reframes brokerage not as a fragile position, but as a relationship earned, remembered, and surprisingly strong.
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Specificații

ISBN-13: 9780197834268
ISBN-10: 0197834264
Pagini: 336
Dimensiuni: 157 x 235 x 25 mm
Greutate: 0.44 kg
Editura: Oxford University Press
Colecția OUP USA
Seria Social Network Mechanisms

Locul publicării:New York, United States

Notă biografică

Ronald S. Burt is the Charles M. Harper Leadership Professor of Sociology and Strategy Emeritus at the University of Chicago Booth School of Business and a Distinguished Professor in the Department of Management and Technology at Bocconi University. Sonja Opper is Professor of Global Strategy and Institutions and the DeAgostini Endowed Chair of Corporate Strategy in the Department of Management and Technology at Bocconi University.

Cuprins

  • 1. INTRODUCTION
  • Overview of the book
  • 2. UNEXPECTEDLY STRONG BRIDGES
  • Network context: Bridges and clusters
  • Preserving the status quo: The closure-trust association
  • Contradictory data pattern
  • Changing the status quo: Achievement and network brokerage
  • Conclusion: Strong bridges despite fragile brokerage
  • 3. TRUST IN EVENT CONTACTS
  • Data: Social networks of Chinese entrepreneurs
  • Event versus current contacts
  • Kinds of event contacts
  • Conclusion: Relational embedding
  • 4. FROM EVENTS TO GUANXI, TO STRONG BRIDGES
  • Guanxi analogy
  • Testing the strong-bridges hypothesis
  • Strong bridges and competitive advantage
  • Testing the advantage hypothesis
  • Conclusion: Strong bridges
  • 5. COINCIDENTAL mULTIPLEXITY
  • Foundation relations
  • Guanxi emerges from history
  • Guanxi, family, friends and colleagues
  • How are guanxi used?
  • How essential is multiplexity?
  • Conclusion: Coincidental multiplexity
  • 6. COINCIDENTAL LANGUAGE
  • Language data
  • How speakers differ
  • How words differ
  • Robust hypotheses
  • Conclusion: Language complexity mirrors network complexity
  • 7. STRONG BRIDGE RESILIENCE
  • Three lines of attack
  • Follow-up survey in 2021
  • Where is COVID in the network?
  • Erosion of closure-trust association
  • Bridge resilience
  • Conclusion: Strong bridges are resilient
  • 8. TAKING STOCK AND LOOKING AHEAD
  • Evidence of strong bridges
  • The origin of strong bridges
  • Strong bridges in other study populations
  • Other implications of recognizing strong bridges
  • Appendix A: Fieldwork and network interview instrument
  • Appendix B: Descriptive statistics
  • Appendix C: Topics implicit in the descriptions
  • References