A Second-Order Adaptive Temporal-Causal Network Model for Age and Gender Differences in Evolving Choice of Emotion Regulation Strategies

Nimat Ullah, Zhenyu Gao, Rui Liu, Jan Treur

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Emotion being an essential part of one’s life, its regulation is of utmost
importance. The choice of strategies that one employs for regulating their
emotions, varies at various stages of their lives and with contexts. Similarly,
gender also has an influence in the choice of emotion regulation strategies. This
paper presents a second-order adaptive network model for this phenomenon
where the choice of strategies varies with age and gender in an adaptive manner.
Simulation results for both the genders (male and female) have been provided
where for both the genders, choice of emotion regulation strategies changes as
age increases. The second-order adaptive network model presented here extends
a non-adaptive network model previously introduced at ICCCI’19.
Original languageEnglish
JournalJournal of Information and Telecommunication
Publication statusAccepted/In press - 30 Jan 2020

Fingerprint Dive into the research topics of 'A Second-Order Adaptive Temporal-Causal Network Model for Age and Gender Differences in Evolving Choice of Emotion Regulation Strategies'. Together they form a unique fingerprint.

Cite this