Online social networks (OSNs) are structures that help users to interact, exchange, and
propagate new ideas. The identification of the influential users in OSNs is a significant …

Causality analysis on system auditing data has emerged as an important solution for attack
investigation. Given a POI (Point-Of-Interest) event (eg, an alert fired on a suspicious file …

Entity-oriented search tasks heavily rely on exploiting unstructured and structured
collections. Moreover, it is frequent for text corpora and knowledge bases to provide …

The measure of similarity between objects is a very useful tool in many areas of computer
science, including information retrieval. SimRank is a simple and intuitive measure of this …

In this paper, we leverage annotated logic programs for tracking indicators of provenance
and trust during reasoning, specifically focussing on the use-case of applying a scalable …

We consider the problem of approximating the PageRank of a target node using only local
information provided by a link server. This problem was originally studied by Chen, Gan, and …

Link analysis methods are used to estimate importance in graph-structured data. In that
realm, the PageRank algorithm has been used to analyze directed graphs, in particular the …

We address the PageRank problem of associating a relative importance value to all web
pages in the Internet so that a search engine can use them to sort which pages to show to …

Fusing and mining opinions from reviews posted in webs or social networks is becoming a
popular research topic in recent years in order to analyze public opinions on a specific topic …

State-of-the-art Large Language Models (LLMs) have shown remarkable capabilities for
general Question Answering (QA) tasks. However, their practical use for answering mental …