Multiplexity
Updated 2026-08-10
INTRODUCTION
English translation pending.
CORE DEFINITION
In social network analysis, multiplexity describes how many different types of relationship connect two people, such as being colleagues, neighbors, and teammates at once. Ties with more overlapping dimensions carry more trust and impose higher costs for betrayal, because a breach in one context damages all the others. The concept helps explain why relationships embedded in multiple settings are more durable than single-purpose ties. Key qualification: the term is also used in other fields for holding multiple coexisting states or hypotheses, which is a different sense.
SCAFFOLDING EFFECT
Reduce cognitive load
- Count the dimensions: list how many separate contexts connect you to a key partner. - Add overlap: create a second context, such as a shared interest or project, to strengthen a weak tie. - Read the risk: expect a breach to damage every shared context at once.
Anchor fast decisions
Each additional relationship dimension creates another setting where behavior is observed and another thing that would be lost if the tie broke. That raises the cost of defection and gives each party more ways to verify the other's reliability. Trust therefore grows with the number of shared contexts rather than with the intensity of any single one.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- zdic.nethttps://zdic.net/hans/%E5%A4%9A%E9%87%8D%E6%80%A7verified
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