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Thinking deeply about virality is probably worthwhile, though Im not sure I agree with the breakdown here. "Incentivized" is an optional attribute that applies

• Bartweiss 10y ago
  This is definitely not a thorough (or deeply useful) investigation of the topic. As I read it, there are three types of transfer identified here and two modifiers. - Word of mouth - Demonstration (intentional or not) - Network effects (N.B. this is a problem as well as an opportunity) And the modifiers: - User incentives (cash-for-shares) - Central sharers (e.g. Let's Plays, celebrities on Instagram) That seems like a better framework than the one provided. We can see that Pokemon Go was demonstration and word-of-mouth with central sharers, Uber was demonstration and word-of-mouth with incentives, and Instagram was network effects with central sharers. Building this up into a proper model with more elements would be interesting. Additives like "controversy" and "media appeal" would probably be key to identify.
  • ismdubey 10y ago
    I like the way you broke down things. People at a16Z have some sort of a network effect playbook for different types of Network Effects. I was listening about this in one of their podcasts.
    • __derek__ 10y ago
      Here's the episode: "Not all network effects are created equal"[1] [1]: http://a16z.com/2016/08/01/network-effects-taxonomy/ http://a16z.com/2016/08/01/network-effects-taxonomy/