Tons of Twitter users are posting their tweets every day. Twitter provides its trending topics based on massive tweets posted from some particular regions. However, the trends are only be shown in a list of phrases, and it is not easy to capture the tendency of the trending topics. We developed a system named TWtrends, which can visualize trending topics in Tokyo, Japan, by a co-occurrence network graph to disclose some information architecture in a bunch of trending topics. This talk will provide the basic idea of the system, how to contribute to customize for adapting other languages, for example, Chinese or English.