It is hard to believe that 10 years have passed since we wrote our guest editorial for IJGIS
(Sui and Goodchild). Using the nascent evidence that emerged in the late 1990s, we …

Online social networks (OSN) are a permanent presence in today's personal and
professional lives of a huge segment of the population, with direct consequences to offline …

We evaluate two decades of proposals to replace text passwords for general-purpose user
authentication on the web using a broad set of twenty-five usability, deployability and …

We propose and evaluate a probabilistic framework for estimating a Twitter user's city-level
location based purely on the content of the user's tweets, even in the absence of any other …

Little research exists on one of the most common, oldest, and most utilized forms of online
social geographic information: the'location'field found in most virtual community user …

In recent years, recommender systems play a pivotal role in hel** users identify the most
suitable items that satisfy personal preferences. As user-item interactions can be naturally …

In order to address privacy concerns, many social media websites allow users to hide their
personal profiles from the public. In this work, we show how an adversary can exploit an …

In recent years, recommender systems are crucially important for the delivery of
personalized services that satisfy users' preferences. With personalized recommendation …

Recently, the surge in popularity of the Internet of Things (IoT), mobile devices, social media,
etc., has opened up a large source for graph data. Graph embedding has been proved …

We propose new privacy attacks to infer attributes (eg, locations, occupations, and interests)
of online social network users. Our attacks leverage seemingly innocent user information …