The concept of social capital describes the benefits individuals derive from their social relationships and interactions: resources such as emotional support, exposure to diverse ideas, and access to non-redundant information. Social capital is embedded in the structure of social networks and the location of individuals within these structures (Burt, 2005). Because social network sites (SNSs) have the potential to reshape social networks and lower the costs of communicating with (and thus contributing to and extracting benefits from) this social network, SNS use may have social capital implications. This study is among the first to explore the relationship between social capital and specific communication practices on the most popular SNS among US undergraduates, Facebook.

We used logistic regression and random forest to predict user behaviors on a Chinese social network, Weibo.

This issue is related to Sklearn, one solution is to state a eligible Solver .

For .reindex , from 0.21.0, .loc or [] are not allowed to index with a list with one or more missing labels in Pandas。