Large buildings provide lots of spaces that have various purposes. This is the advantageof being able to provide various services in one area, but the information that people ndis intensive. Also large buildings are so complicated and short-sighted, people cant nddestination easily. Accordingly, many information services are provided in large buildingssuch as indoor navigation system, oor information system. The based information for thisservices is indoor network information. Indoor network in building provide connection in-formation between space and space and have semantic property. If we make indoor network,we have to edit network personally or calculate network based on buildings geometric in-formation. This process is not easy for complex buildings. So we suggest the method that isgenerating indoor network automatically based on crowd-sourcing. We trace pedestrian andcollect their moving information with crowd-sourcing. And we analyse pedestrians mov-ing data and export indoor network information. If infrastructure for indoor positioning isconstructed well, this method will contribute to generate practical indoor network.