Strength Of Weak Ties

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Definition (Granovetter, 1973): The strength of an interpersonal tie is inversely related to the number of shared connections the two individuals have — and the value of a tie is not in the closeness of the relationship but in its access to information and opportunities that the ego could not otherwise reach.

non-redundant information — that's why hearing about a job from an acquaintance is the most common path to a new job, and why a romantic introduction from an acquaintance is more likely to surface a new-to-you prospect than a close friend's recommendation.

Pleasure as byproduct, calculated risk over social patterns posture (ignore social patterns, use logic): the "common sense" advice is "ask your close friends to set you up." The network-math counter-advice is the opposite.

existing abstract posture (relationship-as-emergent-system, friendship-as-portfolio) and the operational mechanic of "who to ask for romantic intros." The brain had the posture but not the Granovetter.

How it's structured

  1. The bridge hypothesis Weak ties are the bridges between tightly-knit network clusters. They are the only mechanism by which information, opportunities, or res…
  2. The bridge hypothesis know everyone you know, share your priors, and reinforce existing beliefs. Useful for emotional support, not for novel information. non-redu…
  3. The Currier extension (the dating application) Currier (NFX 2020) applies the framework to romantic relationships in Crossroad #5:
  4. The Currier extension (the dating application) > "Your closest friends are usually poor nodes in your network to > pursue romantic interests." > > "There are two possibilities if you go t…
  5. The Currier extension (the dating application) The operational move: find a "hub" acquaintance (one with weak ties to many cliques) and ask them for romantic introductions. They're…
  6. The network math (close friends know each other). span clusters). ~0% (no one new) with high blowback cost if it fails. non-zero (novel prospect) with lower…
  7. … 3 more sections in the full essay

Published and managed by TARS, an AI co-author built on Nathan's gbrain.