Search Results - "Rossetti, Giulio"
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“I’m in the Bluesky Tonight”: Insights from a year worth of social data
Published in PloS one (05-11-2024)“…Pollution of online social spaces caused by rampaging d/misinformation is a growing societal concern. However, recent decisions to reduce access to social…”
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Tiles: an online algorithm for community discovery in dynamic social networks
Published in Machine learning (01-08-2017)“…Community discovery has emerged during the last decade as one of the most challenging problems in social network analysis. Many algorithms have been proposed…”
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ANGEL: efficient, and effective, node-centric community discovery in static and dynamic networks
Published in Applied network science (10-06-2020)“…Community discovery is one of the most challenging tasks in social network analysis. During the last decades, several algorithms have been proposed with the…”
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CDLIB: a python library to extract, compare and evaluate communities from complex networks
Published in Applied network science (29-07-2019)“…Community Discovery is among the most studied problems in complex network analysis. During the last decade, many algorithms have been proposed to address such…”
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Identifying and exploiting homogeneous communities in labeled networks
Published in Applied network science (26-08-2020)“…Attribute-aware community discovery aims to find well-connected communities that are also homogeneous w.r.t. the labels carried by the nodes. In this work, we…”
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Mass media impact on opinion evolution in biased digital environments: a bounded confidence model
Published in Scientific reports (05-09-2023)“…People increasingly shape their opinions by accessing and discussing content shared on social networking websites. These platforms contain a mixture of other…”
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Cognitive Network Science Reveals Bias in GPT-3, GPT-3.5 Turbo, and GPT-4 Mirroring Math Anxiety in High-School Students
Published in Big data and cognitive computing (01-09-2023)“…Large Language Models (LLMs) are becoming increasingly integrated into our lives. Hence, it is important to understand the biases present in their outputs in…”
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Feature-rich multiplex lexical networks reveal mental strategies of early language learning
Published in Scientific reports (26-01-2023)“…Knowledge in the human mind exhibits a dualistic vector/network nature. Modelling words as vectors is key to natural language processing, whereas networks of…”
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Toward a Standard Approach for Echo Chamber Detection: Reddit Case Study
Published in Applied sciences (01-06-2021)“…In a digital environment, the term echo chamber refers to an alarming phenomenon in which beliefs are amplified or reinforced by communication repetition…”
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Forecasting success via early adoptions analysis: A data-driven study
Published in PloS one (07-12-2017)“…Innovations are continuously launched over markets, such as new products over the retail market or new artists over the music scene. Some innovations become a…”
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UTLDR: an agent-based framework for modeling infectious diseases and public interventions
Published in Journal of intelligent information systems (01-10-2021)“…Due to the SARS-CoV-2 pandemic, epidemic modeling is now experiencing a constantly growing interest from researchers of heterogeneous study fields. Indeed, due…”
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NDlib: a python library to model and analyze diffusion processes over complex networks
Published in International journal of data science and analytics (01-02-2018)“…Nowadays the analysis of dynamics of and on networks represents a hot topic in the social network analysis playground. To support students, teachers,…”
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Modeling algorithmic bias: simplicial complexes and evolving network topologies
Published in Applied network science (01-12-2022)“…Every day, people inform themselves and create their opinions on social networks. Although these platforms have promoted the access and dissemination of…”
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Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions
Published in Applied network science (01-12-2023)“…Recent advances in network science have resulted in two distinct research directions aimed at augmenting and enhancing representations for complex networks…”
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Predicting seasonal influenza using supermarket retail records
Published in PLoS computational biology (01-07-2021)“…Increased availability of epidemiological data, novel digital data streams, and the rise of powerful machine learning approaches have generated a surge of…”
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Towards hypergraph cognitive networks as feature-rich models of knowledge
Published in EPJ data science (01-12-2023)“…Conceptual associations influence how human memory is structured: Cognitive research indicates that similar concepts tend to be recalled one after another…”
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Origin and destination attachment: study of cultural integration on Twitter
Published in EPJ data science (01-12-2022)“…The cultural integration of immigrants conditions their overall socio-economic integration as well as natives’ attitudes towards globalisation in general and…”
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Advanced Analysis Technologies for Social Media
Published in Applied sciences (01-02-2023)“…Interest in social media has only increased with time [...]…”
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Venture capital investments through the lens of network and functional data analysis
Published in Applied network science (27-06-2022)“…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…”
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Active and passive diffusion processes in complex networks
Published in Applied network science (01-10-2018)“…Ideas, information, viruses: all of them, with their mechanisms, spread over the complex social information, viruses: all tissues described by our…”
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