Social big data: Recent achievements and new challenges

By Gema Bello Orgaz, Jason J. Jung, David Camacho. 2015

797 citations recorded by the source corpus.

Highlights • The paper presents the methodologies on information fusion for social media.• The methodologies, frameworks, and software used to work with big data are given.• The state of the art in the data analytic techniques on social big data is provided.• Social big data applications for various domains are described and analyzed.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Francisco Herrera
2. Alberto Fernández
3. M. J. Jesús
4. Oscar Cordón
5. Francesco Marcelloni
6. Salvador Garcia
7. Abdullah Bin Gani
8. Tao Tang

In Computer Vision and Pattern Recognition

1. Ibrar Yaqoob
2. Ibrahim Abaker Targio Hashem
3. Francisco Herrera
4. Alberto Fernández
5. Abdullah Bin Gani
6. M. J. Jesús
7. Francesco Marcelloni
8. F. Yu

In Statistical and Nonlinear Physics

1. Francesco Marcelloni
2. Francisco Herrera

Citations in the corpus

• The role of big data in smart city (2016, background): “The researchers in (Bello-Orgaz et al., 2016; Chang et al., 2016) identified privacy issues that may require further research in the future, such as data communication, graph matching, awareness, and evaluation of privacy preserving services.”
• Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to? (2019, background): “mining are application areas that may benefit the most from EFSs [38].”
• Big Data Analytics in Intelligent Transportation Systems: A Survey (2019, background): “Many of the most popular data process techniques contain Big Data techniques, including data mining, machine learning, artificial intelligence, data fusion, social networks and so on [1].”
• Big Data sources and methods for social and economic analyses (2017, background): “Currently, the “ Big Data ” concept is starting to be de fi ned in terms of the 5Vs model (Bello-Orgaz et al., 2016), which added the “ Veracity ” di-mension (related to proper data governance and privacy concerns).”
• Big Data Service Architecture: A Survey (2020, background): “Big data technology can improve social governance and production efficiency, and promote scientific research [5-6].”