I've actually looked a bit at bulbflow before, being a Python programmer who has had an interest in graph databases for quite some time. That's why I asked my question originally. Can you give an example of the types of relations you're using the DB to represent in a blog?
If you have a large blog or content system, you can use likes and views to make content recommendations using a basic Gremlin collaborative filtering query:
// calculate basic collaborative filtering for vertex with user_id
def rank_items(user_id) {
m = [:]
g.v(user_id).out('likes').in('likes').out('likes').groupCount(m)
m.sort{a,b -> a.value <=> b.value}
return m.values()
}
If you use Facebook, Twitter, or GitHub to authenticate users you can easily incorporate friends and followers into the recommendations.