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Signal propagation in complex networks
Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …
going viral, promotes trust and facilitates moral behavior in social groups, enables the …
Future directions in human mobility science
We provide a brief review of human mobility science and present three key areas where we
expect to see substantial advancements. We start from the mind and discuss the need to …
expect to see substantial advancements. We start from the mind and discuss the need to …
A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources
This paper reviews the most important information fusion data-driven algorithms based on
Machine Learning (ML) techniques for problems in Earth observation. Nowadays we …
Machine Learning (ML) techniques for problems in Earth observation. Nowadays we …
Twitter as a tool for the management and analysis of emergency situations: A systematic literature review
The importance of timely, accurate and effective use of available information is essential to
the proper management of emergency situations. In recent years, emerging technologies …
the proper management of emergency situations. In recent years, emerging technologies …
[ספר][B] Researching language and social media: A student guide
R Page, D Barton, C Lee, JW Unger, M Zappavigna - 2022 - taylorfrancis.com
Researching Language and Social Media: A Student Guide introduces the linguistic
frameworks currently used to analyse language found in social media contexts. This highly …
frameworks currently used to analyse language found in social media contexts. This highly …
Point-of-interest recommender systems based on location-based social networks: a survey from an experimental perspective
Point-of-Interest recommendation is an area of increasing research and development
interest within the widely adopted technologies known as Recommender Systems. Among …
interest within the widely adopted technologies known as Recommender Systems. Among …
Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey
The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …
challenging to accurately discover and track exciting events, as well as their evolution and …
A deep multi-modal neural network for informative Twitter content classification during emergencies
People start posting tweets containing texts, images, and videos as soon as a disaster hits
an area. The analysis of these disaster-related tweet texts, images, and videos can help …
an area. The analysis of these disaster-related tweet texts, images, and videos can help …
A survey on deep learning based Point-of-Interest (POI) recommendations
Abstract Location-based Social Networks (LBSNs) enable users to socialize with friends and
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …