Link prediction finds missing links (in static networks) or predicts the likelihood of future links
(in dynamic networks). The latter definition is useful in network evolution (Wang et al., 2011; …

Locations, eg, countries, states, cities, and point-of-interests, are central to news, emergency
events, and people's daily lives. Automatic identification of locations associated with or …

This article summarizes the author's Robert S. Englemore Memorial Lecture presented at the
Thirty-Fourth AAAI Conference on Artificial Intelligence on February 10, 2020. It explores …

Location Based Social Networks (LBSNs) have been widely used as a primary data source
to study the impact of mobility and social relationships on each other. Traditional …

In social networks, link prediction predicts missing links in current networks and new or
dissolution links in future networks, is important for mining and analyzing the evolution of …

Personalized point-of-interest (POI) recommendation is a significant task in location-based
social networks (LBSNs) as it can help provide better user experience as well as enable …

(57) ABSTRACT A method associates social media messages with venues. A social network
graph includes users, messages from users, and venues. The venues include multiple …

Geographical location is vital to geospatial applications like local search and event
detection. In this paper, we investigate and improve on the task of text-based geolocation …

Mobile location-based services are thriving, providing an unprecedented opportunity to
collect fine grained spatio-temporal data about the places users visit. This multi-dimensional …

The movements of ideas and content between locations and languages are unquestionably
crucial concerns to researchers of the information age, and Twitter has emerged as a …