![]() ![]() Existing methods, however, either do not offer approximation guarantees, or engineer the objective so that it satisfies certain desirable properties that simplify the optimization task. The problem of reducing structural bias or segregation via edge shortcuts has recently been studied in the literature, and random walks have been an essential tool for modeling navigation and connectivity in the underlying networks. In many applications of interest, edge shortcuts typically translate to recommendations, e.g., what video to watch, or what news article to read next. A commonly-used mechanism for increasing the network connectivity is to add edge shortcuts between pairs of nodes. ![]() In many cases it is of interest to increase the connectivity of disparate groups so as to, e.g., minimize social friction, or expose individuals to diverse viewpoints. Examples include polarized communities in social networks, antagonistic content in video-sharing or news-feed platforms, etc. Structural bias or segregation of networks refers to situations where two or more disparate groups are present in the network, so that the groups are highly connected internally, but loosely connected to each other.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |