[4Rin1] Interactive 2

[4Rin1-31] Extracting interpersonal relationships from Wi-Fi Connection Data

〇Tatsuo Yamashita¹, Teruhiko Teraoka¹, Hiroaki Taguchi¹ (1.Yahoo Japan Corporation)

Keywords:Computational Social Science, Working style reform, Activity based working

This paper presents a simple method to detect the occurrence of the communication of mutual employees in the office using only Wi-Fi connection data. First, we collected data of the employee location search system using the Wi-Fi connection data of the devices such as laptop computers, and then we analyzed the time variation in the location information of each device, and lastly, we detected the meeting (time and location sharing) and extracted interpersonal relationships. Results of experiments using actual data suggest that our method works effectively.