
Strong Bridges
Trust Beyond Structure
Oxford University Press Inc
Will be published approx. on 16. July 2026
Book
Paperback/Softback
336 pages
978-0-19-783426-8 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
New York
United States
Target group
College/higher education
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 25 mm
Weight
440 gr
ISBN-13
978-0-19-783426-8 (9780197834268)
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Schweitzer Classification
Other editions
Additional editions

Book
04/2026
Oxford University Press Inc
€106.50
Shipment within 15-20 days
Persons
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.
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.
Author
Distinguished Professor, Department of Management and TechnologyDistinguished Professor, Department of Management and Technology, Bocconi University
ProfessorProfessor, Bocconi University
Content
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
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