While the ever-increasing emergence of online services has led to a growing interest in the
development of recommender systems, the algorithms underpinning such systems have …

The impact of recommendation systems (RSs) on the diversity of consumption is not
transparent or well understood. Available studies, whether experimental or theoretical, show …

The opinions of people on different issues are traditionally studied through polls. Recently,
ideological embedding methods have proposed to position social network users in spaces …

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Substance use-related problems continue to be a national public health crisis despite years
of prevention efforts. Community anti-drug coalitions are well positioned to address …

'Diversity'is a heavily freighted and multivalent keyword in the global digital media
environment. The recommender systems used by platforms are particularly acute sites of …

Groups—such as clusters of points or communities of nodes—are fundamental when
addressing various data mining tasks. In temporal data, the predominant approach for …

Abstract Models used to explain phenomena are necessarily finer grained than the models
used to measure them. In language study, the measures used to assess development (eg …

The main subject of this thesis is the effective resistance—a measure of distance between
the nodes of a graph which reflects how close or well-connected two nodes are, taking into …

A growing number of social media studies in the US rely on the characterization of the
opinion of individual users, for example, as Democrat-or Republican-leaning, or in …