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This study more complex digital platforms in early stages in the two-sidedmarket to produce powerful network effects. In this study, I use TransferEntropy to look for super users who connect hominids in different networks toachieve higher network effects in the digital platform in the two-sided market,which has recently become more complex. And this study also aims to redefinethe decision criteria of product managers by helping them define users withstronger network effects. With the development of technology, the structure ofthe industry is becoming more difficult to interpret and the complexity ofbusiness logic is increasing. This phenomenon is the biggest problem that makesit difficult for start-ups to challenge themselves. I hope this study will helpproduct managers create new digital economic networks, enable them to makeprioritized, data-driven decisions, and find users who can be the hub of thenetwork even in small products.

The Two-Sided Market Network Analysis Based on Transfer Entropy & Labelr