Social Network Analysis of Coffee Shop Visitors Using Twitter Data

Abstract

The concept of the present and the sense of comfort offered by the coffee shop bring in various visitors in terms of age, children, teenagers, adults, and even the elderly. Visitors in terms of work, both from junior high school, high school/vocational school students, university students, private employees, civil servants, and from various other types of work are happy to visit. The purpose of this study was to conduct a social network analysis of coffee shop visitors in Indonesia. The postmodern concept of consumption is related to the realization that consumption appears more significant at sign value or symbolic qualities than use value. The research method used is qualitative netnography. The data is obtained from uploads on the Twitter application with the help of Atlas. ti application. Because it uses network analysis, tweets that are not related to other tweets will be excluded from the study. The results showed that Twitter users went to a coffee shop to do work while drinking coffee; conduct watching events together, either football, moto GP, or other similar matches; perform social activities with the closest people, and want to eat their favorite food. The results of the word cloud analysis obtained several words that appear and are often used by coffee shop visitors on Twitter applications such as warkop, nongkrong, ngopi, kopi, ngobrol, kerja, makan, teh, lagu, nongki, and many other words. The novelty of this study lies in the approach used, namely netnography so that the data obtained reaches a wider range of data.