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Time-varying graph representation learning via higher-order skip-gram with negative sampling
Springer Science and Business Media LLC - Tập 11 - Trang 1-21 - 2022
Representation learning models for graphs are a successful family of techniques that project nodes into feature spaces that can be exploited by other machine learning algorithms. Since many real-world networks are inherently dynamic, with interactions among nodes changing over time, these techniques can be defined both for static and for time-varying graphs. Here, we show how the skip-gram embeddi...... hiện toàn bộ
Privacy-by-design in big data analytics and social mining
Springer Science and Business Media LLC - Tập 3 - Trang 1-26 - 2014
Privacy is ever-growing concern in our society and is becoming a fundamental aspect to take into account when one wants to use, publish and analyze data involving human personal sensitive information. Unfortunately, it is increasingly hard to transform the data in a way that it protects sensitive information: we live in the era of big data characterized by unprecedented opportunities to sense, sto...... hiện toàn bộ
Higher-order structures of local collaboration networks are associated with individual scientific productivity
Springer Science and Business Media LLC - - 2024
The prevalence of teamwork in contemporary science has raised new questions about collaboration networks and the potential impact on research outcomes. Previous studies primarily focused on pairwise interactions between scientists when constructing collaboration networks, potentially overlooking group interactions among scientists. In this study, we introduce a higher-order network representation ...... hiện toàn bộ
Probing crowd density through smartphones in city-scale mass gatherings
Springer Science and Business Media LLC - - 2013
Beating the news using social media: the case study of American Idol
Springer Science and Business Media LLC - - 2012
Linking Twitter and survey data: asymmetry in quantity and its impactAbstract Linked social media and survey data have the potential to be a unique source of information for social research. While the potential usefulness of this methodology is widely acknowledged, very few studies have explored methodological aspects of such linkage. Respondents produce planned amounts of survey data, but highly variant amounts of social media data.... ... hiện toàn bộ
Springer Science and Business Media LLC - Tập 10 Số 1 - 2021
Design and analysis of tweet-based election models for the 2021 Mexican legislative election
Springer Science and Business Media LLC - Tập 12 - Trang 1-17 - 2023
Modelling and forecasting real-life human behaviour using online social media is an active endeavour of interest in politics, government, academia, and industry. Since its creation in 2006, Twitter has been proposed as a potential laboratory that could be used to gauge and predict social behaviour. During the last decade, the user base of Twitter has been growing and becoming more representative o...... hiện toàn bộ
Unveiling public perception of AI ethics: an exploration on Wikipedia data
Springer Science and Business Media LLC - - 2024
Artificial Intelligence (AI) technologies have exposed more and more ethical issues while providing services to people. It is challenging for people to realize the occurrence of AI ethical issues in most cases. The lower the public awareness, the more difficult it is to address AI ethical issues. Many previous studies have explored public reactions and opinions on AI ethical issues through questio...... hiện toàn bộ
Instagram photos reveal predictive markers of depression
Springer Science and Business Media LLC - Tập 6 - Trang 1-12 - 2017
Using Instagram data from 166 individuals, we applied machine learning tools to successfully identify markers of depression. Statistical features were computationally extracted from 43,950 participant Instagram photos, using color analysis, metadata components, and algorithmic face detection. Resulting models outperformed general practitioners’ average unassisted diagnostic success rate for depres...... hiện toàn bộ
Exposure to parks through the lens of urban mobility
Springer Science and Business Media LLC - Tập 11 - Trang 1-21 - 2022
This work presents a portable framework to estimate potential park demand and park exposure through bipartite weighted networks. We use mobility information and open spatial information. Mobility information comes in the form of daily activities sampled from a model based on Call Detail Records (CDR). Spatial information comprise parks represented through OpenStreetMaps polygons and census tracts ...... hiện toàn bộ
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