{"title":"A temporal-causal network model for the effect of emotional charge on information sharing","authors":"Rosa Schoenmaker, Jan Treur, Boaz Vetter","doi":"10.1016/j.bica.2018.10.003","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper a cognitive model is presented for sharing behaviour<span> (retweeting) on Twitter, addressing the underlying cognitive and affective processes. The model explains how the use of emotions in addition to information can cause an amplification in the diffusion of this information. It was designed according to a Network-Oriented Modeling approach based on temporal-causal network models. By mathematical analysis of stationary points it was verified that the implemented network model does what is expected from the design of the model. In addition, the equilibrium equations of the network model were solved algebraically by a symbolic solver and the solutions were shown to relate well to empirically expected outcomes. Validation by parameter tuning was also performed, and also shows a good approximation of empirically expected outcomes.</span></p></div>","PeriodicalId":48756,"journal":{"name":"Biologically Inspired Cognitive Architectures","volume":"26 ","pages":"Pages 136-144"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.bica.2018.10.003","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biologically Inspired Cognitive Architectures","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212683X18300872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Psychology","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper a cognitive model is presented for sharing behaviour (retweeting) on Twitter, addressing the underlying cognitive and affective processes. The model explains how the use of emotions in addition to information can cause an amplification in the diffusion of this information. It was designed according to a Network-Oriented Modeling approach based on temporal-causal network models. By mathematical analysis of stationary points it was verified that the implemented network model does what is expected from the design of the model. In addition, the equilibrium equations of the network model were solved algebraically by a symbolic solver and the solutions were shown to relate well to empirically expected outcomes. Validation by parameter tuning was also performed, and also shows a good approximation of empirically expected outcomes.
期刊介绍：
Announcing the merge of Biologically Inspired Cognitive Architectures with Cognitive Systems Research.
Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial.
The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition.
Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
