A data mining method for Facebook social network: Take “New Row Mian (Beef Noodle)” in Taiwan for example

Abstract

Facebook penetration rate in Taiwan is the highest in the world, until July 2015 in Taiwan, the number of daily users reached 13 million for approximately 23 million population. Location-based Facebook check-in service is a hot topic, numerous Facebook users go to their interested numerous checkin-in places and check in there. Taiwan beef noodle is considered a national dish. 2011 Taipei International Beef Festival has been Taiwan beef noodle translated as New Row Mian. The naming imitates Japanese Sushi or Korean Kimchi that translated from the local language literal translation, highlighting the unique culture. Through the culture in the human activities, it will also produce the relevant Facebook check-in places and check-in behaviors. In this study, we propose a method to collect the big data of Facebook check-in places, find out the places related to “New Row Mian” and position for these places.