In order to prevent disease spread, it is desirable to introduce prioritized isolation of the people contacting many and unspecified others, or connecting different groups. Research for finding central people in social networks of people connected with their contacts, and for siulating the speed and extent of the disease spread have been done in network science. In reality, contacts among people are temporal. Suppose A and B contacted yesterday and B and C contacted today. This may cause disease spread from A to C, but not vice versa. Since temporal networks have properties that cannot be found in static networks, we are doing research on temporal networks.