Reverse network effects often cause a large and thriving network to implode. As a network scales, it’s ability to maintain a high signal-to-noise ratio is the leading indicator of its usefulness. Networks can, in fact, scale very well and prevent reverse network effects from setting in if they have:
Appropriate level of friction in network access and usage, that prevents abuse
A strong curation system that scales well with the size of the network
A highly relevant and personalized user experience
Reverse network effects often cause a large and thriving network to implode. As a network scales, it’s ability to maintain a high signal-to-noise ratio is the leading indicator of its usefulness. Networks can, in fact, scale very well and prevent reverse network effects from setting in if they have:
Appropriate level of friction in network access and usage, that prevents abuse
A strong curation system that scales well with the size of the network
A highly relevant and personalized user experience
A democratic model for users to build influence