  We study collaboration patterns of Wikidata, one of the world's largest
collaborative knowledge graph communities. Wikidata lacks long-term engagement
with a small group of priceless members, 0.8%, to be responsible for 80% of
contributions. Therefore, it is essential to investigate their behavioural
patterns and find ways to enhance their contributions and participation.
Previous studies have highlighted the importance of discussions among
contributors in understanding these patterns. To investigate this, we analyzed
all the discussions on Wikidata and used a mixed methods approach, including
statistical tests, network analysis, and text and graph embedding
representations. Our research showed that the interactions between Wikidata
editors form a small world network where the content of a post influences the
continuity of conversations. We also found that the account age of Wikidata
members and their conversations are significant factors in their long-term
engagement with the project. Our findings can benefit the Wikidata community by
helping them improve their practices to increase contributions and enhance
long-term participation.
