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Félix Gélinas-Gascon and Richard Khoury
Negative social media usage during the COVID-19 pandemic has highlighted the importance of understanding the spread of misinformation and toxicity in public online discussions. In this paper, we propose a novel unsupervised method to discover the structu...
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Pietro Dell?Oglio, Alessandro Bondielli and Francesco Marcelloni
Today, most newspapers utilize social media to disseminate news. On the one hand, this results in an overload of related articles for social media users. On the other hand, since social media tends to form echo chambers around their users, different opin...
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Changsong Bing, Yirong Wu, Fangmin Dong, Shouzhi Xu, Xiaodi Liu and Shuifa Sun
Social media has become more popular these days due to widely used instant messaging. Nevertheless, rumor propagation on social media has become an increasingly important issue. The purpose of this study is to investigate the impact of various features i...
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Yi Liu, Chengyu Yin, Jingwei Li, Fang Wang and Senzhang Wang
Accurately predicting user?item interactions is critically important in many real applications, including recommender systems and user behavior analysis in social networks. One major drawback of existing studies is that they generally directly analyze th...
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Zhengfeng Xu, Weili Zeng, Xiao Chu and Puwen Cao
Aircraft trajectory prediction is the basis of approach and departure sequencing, conflict detection and resolution and other air traffic management technologies. Accurate trajectory prediction can help increase the airspace capacity and ensure the safe ...
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Nikita Nazarov
Pág. 91 - 97
The subject of study in the article is the process of socio-economic conflict management. The purpose of the work is to substantiate the theoretical provisions and methodological approaches in the management of labor conflicts as a form of social and lab...
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Hossein Hassani, Christina Beneki, Stephan Unger, Maedeh Taj Mazinani and Mohammad Reza Yeganegi
Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to identify significant patterns and correlations hidden in the data. This study seeks to ...
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Chunyang Liu, Jiping Liu, Shenghua Xu, Jian Wang, Chao Liu, Tianyang Chen and Tao Jiang
With the growing popularity of location-based social media applications, point-of-interest (POI) recommendation has become important in recent years. Several techniques, especially the collaborative filtering (CF), Markov chain (MC), and recurrent neural...
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Simon DeDeo
What is the boundary between a vigorous argument and a breakdown of relations? What drives a group of individuals across it? Taking Wikipedia as a test case, we use a hidden Markov model to approximate the computational structure and social grammar of mo...
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