activity
20122025
most citedCommunity Discovery in Dynamic Networks: a Survey

471 citations · 714 across the 33 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

cs.CL2022★ 5 cited

Cognitive modelling with multilayer networks: Insights, advancements and future challenges

Massimo Stella, Salvatore Citraro, Giulio Rossetti +3

The mental lexicon is a complex cognitive system representing information about the words/concepts that one knows. Decades of psychological experiments have shown that conceptual a…

cs.SI2022

Change my Mind: Data Driven Estimate of Open-Mindedness from Political Discussions

Valentina Pansanella, Virginia Morini, Tiziano Squartini +1

One of the main dimensions characterizing the unfolding of opinion formation processes in social debates is the degree of open-mindedness of the involved population. Opinion dynami…

cs.SI2022

Detecting People Interested in Non-Suicidal Self-Injury on Social Media

Zaihan Yang, Dmitry Zinoviev

We propose a supervised learning approach to detect people interested in Non-Suicidal Self-Injury (NSSI). We treat the task as a binary classification problem, and build classifier…

cs.SI2022★ 8 cited

From mean-field to complex topologies: network effects on the algorithmic bias model

Valentina Pansanella, Giulio Rossetti, Letizia Milli

Nowadays, we live in a society where people often form their opinion by accessing and discussing contents shared on social networking websites. While these platforms have fostered…

stat.AP2022★ 5 cited

Venture Capital investments through the lens of Network and Functional Data Analysis

Christian Esposito, Marco Gortan, Lorenzo Testa +4

In this paper we characterize the performance of venture capital-backed firms based on their ability to attract investment. The aim of the study is to identify relevant predictors…

cs.CL2022★ 3 cited

Feature-rich multiplex lexical networks reveal mental strategies of early language learning

Salvatore Citraro, Michael S. Vitevitch, Massimo Stella +1

Knowledge in the human mind exhibits a dualistic vector/network nature. Modelling words as vectors is key to natural language processing, whereas networks of word associations can…