親密な人間関係をデータから客観的に識別できる新手法を開発(図2)

親密な人間関係をデータから客観的に識別できる新手法を開発(図2)

The SocioPatterns project led by Dr. Alain Barrat and colleagues has made public the dataset of contact records of individual pairs collected by RFID devices. However, since the RFID datasets contain any kind of contacts between individuals, they can include non-essential contacts that are observed merely by chance, as opposed to intentional events such as conversation among close friends.

Dr. Teruyoshi Kobayashi of Kobe University and his team developed a new method for identifying individuals that have essential connections between them – what they call “significant ties”. Dr. Kobayashi says: “The point is that we need to distinguish between the contact events that could happen by chance and the events that would not happen without a significant relationship between two individuals.” Their findings were published in Nature Communications on January 15.

Source: 親密な人間関係をデータから客観的に識別できる新手法を開発(図2)