Inferring links in directed complex networks through feed forward loop motifs

S Roy, AF Al Musawi, P Ghosh - Humanities and Social Sciences …, 2023 - nature.com
Complex networks are mathematical abstractions of real-world systems using sets of nodes
and edges representing the entities and their interactions. Prediction of unknown …

Proximity within adolescent peer networks predicts neural similarity during affective experience

MJ Feldman, J Capella, J Dai, AS Bonar… - Social Cognitive and …, 2024 - academic.oup.com
Individuals befriend others who are similar to them. One important source of similarity in
relationships is similarity in felt emotion. In the present study, we used novel methods to …

Characterizing politically engaged users' behavior during the 2016 US presidential campaign

JA Caetano, J Almeida… - 2018 IEEE/ACM …, 2018 - ieeexplore.ieee.org
Political campaigns have frequently used the online social network as an important
environment to exhibit the candidate ideas, their activities, and their electoral plans if …

Sentiment paradoxes in social networks: Why your friends are more positive than you?

X Zhou, S Jin, R Zafarani - … of the International AAAI Conference on Web …, 2020 - aaai.org
Most people consider their friends to be more positive than themselves, exhibiting a
Sentiment Paradox. Psychology research attributes this paradox to human cognition bias …

A Heterogeneous Multimodal Graph Learning Framework for Recognizing User Emotions in Social Networks

S Bhattacharyya, S Yang, JZ Wang - arXiv preprint arXiv:2501.07746, 2025 - arxiv.org
The rapid expansion of social media platforms has provided unprecedented access to
massive amounts of multimodal user-generated content. Comprehending user emotions can …

Representing networks with 3d shapes

S Jin, R Zafarani - 2018 IEEE International Conference on Data …, 2018 - ieeexplore.ieee.org
There has been a surge of interest in machine learning in graphs, as graphs and networks
are ubiquitous across the globe and within science and engineering: road networks, power …

Sentiment prediction in social networks

S Jin, R Zafarani - 2018 IEEE International Conference on Data …, 2018 - ieeexplore.ieee.org
Sentiment analysis research has focused on using text for predicting sentiments without
considering the unavoidable peer influence on user emotions and opinions. The lack of …

Language and emotional domains: the environmentally sustainable behaviour of digital youth

Y Petrova, Z Temirkhanova, G Saidova… - E3S Web of …, 2023 - e3s-conferences.org
Revolutionary technological development has been assumed to be the cause and basis of
the same revolutionary changes in the modern environmental perception of youth. The …

Cognitive Biases and Perceptual Distortions in Human-Computer Interaction

P Suwanaposee - 2024 - ir.canterbury.ac.nz
People interact with user interfaces daily to perform tasks such as web browsing, sending
emails, watching videos and playing games. Many of their interactions will involve making …

[PDF][PDF] Applying Natural Language Processing and Time Series Analysis to understand linguistic Dynamics in the 2022 US Midterm Elections

APDD Maraun - 2023 - unipub.uni-graz.at
This thesis investigates the correlation between the communication style of political
candidates and electoral polling trends. Twitter data is used to analyze belief-speaking and …