This study aims to explore how family nouns and their co-occurring words are portrayed in a Korean newspaper collection, the Trends 21 corpus (Kim et al., 2010). We adopt network analysis using co-occurring words with target words, thirty family nouns. The co-occurring words are regarded as not only semantically related but also mentally associated with target words. A network is a graph-based structure made up of entities which are connected by specific types of relationship. We have used Pajek (Nooy, Mrvar & Vladimir, 2005) to visualize the relationship between a target word and its co-occurring words. The nodes are labeled as target words and co-occurrences; the links are indicated with the t-score in this study. Based on the network analysis, we identify uses of co-occurring words among target family nouns as well as the structure of networks by connection and centrality value. In addition, we can find out distinctions among semanitc groups of family nouns; for example, ``couple`` vs ``core-family``.