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Relevant bibliographies by topics / Social interaction model

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Academic literature on the topic 'Social interaction model'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "Social interaction model"

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Medina, Pablo, Eric Goles, Roberto Zarama, and Sergio Rica. "Self-Organized Societies: On the Sakoda Model of Social Interactions." Complexity 2017 (2017): 1–16. http://dx.doi.org/10.1155/2017/3548591.

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We characterize the behavior and the social structures appearing from a model of general social interaction proposed by Sakoda. The model consists of two interacting populations in a two-dimensional periodic lattice with empty sites. It contemplates a set of simple rules that combine attitudes, ranges of interactions, and movement decisions. We analyze the evolution of the 45 different interaction rules via a Potts-like energy function which drives the system irreversibly to an equilibrium or a steady state. We discuss the robustness of the social structures, dynamical behaviors, and the exist

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Bjornestad, Jone, Christian Moltu, Marius Veseth, and Tore Tjora. "Rethinking Social Interaction: Empirical Model Development." Journal of Medical Internet Research 22, no. 4 (2020): e18558. http://dx.doi.org/10.2196/18558.

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Background Social media is an integral part of human social life. More than 90% of young people use social media daily. Current theories, models, and measures are primarily based on face-to-face conceptions, leaving research out of sync with current social trends. This may lead to imprecise diagnoses and predictions. Objective To develop a theoretically based empirical model of current social interfaces to inform relevant measures. Methods A three-stage, qualitative, data-collection approach included anonymous individual Post-it notes, three full-class discussions, and 10 focus groups to explo

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Hamid, Siti Maryam. "ENRICHING VOCABULARY THROUGH SOCIAL INTERACTION MODEL." EXPOSURE : JURNAL PENDIDIKAN BAHASA DAN SASTRA INGGRIS 4, no. 1 (2015): 40. http://dx.doi.org/10.26618/ejpbi.v4i1.921.

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The objective of this research was to find out the significance of the students’ achievement before and after learning vocabulary through Social Interaction Method at the eight class of SMP Guppi Samata Gowa. This research employed pre-experimental method with one group pretest and posttest design. There were two variables, namely dependent variable was the students’ vocabulary achievement and the independent variable was the application of Social Interaction Model in teaching vocabulary. The population was the students in the eighth grade of SMP Guppi Samata Gowa. The sample of the research c

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Nakayama, Shoichiro, and Yasuyuki Nakamura. "A fashion model with social interaction." Physica A: Statistical Mechanics and its Applications 337, no. 3-4 (2004): 625–34. http://dx.doi.org/10.1016/j.physa.2004.01.046.

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Koning, Cyndie, Kathy Manyk, Joyce Magill-Evans, and Anne Cameron-Sadava. "Application of the Social Interaction Model." Canadian Journal of Occupational Therapy 64, no. 1 (1997): 32–34. http://dx.doi.org/10.1177/000841749706400106.

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Assessment and treatment of children and adolescents presenting with social interaction deficits must be guided by an understanding of the roles of social perception, planning, and output. This paper describes a case study of a client's functional ability in social interaction using the Social Interaction Model described by Doble and Magill-Evans (1992) as a framework. The use of the Child and Adolescent Social Perception Measure to assess how the individual client functions in the area of social perception is discussed.

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Li, Xuexin, Ligang Tian, and Shulin Wang. "Impact of Social Interaction on Customer Engagement in China’s Social Commerce—A Moderated Chain Mediation Model." Behavioral Sciences 13, no. 7 (2023): 541. http://dx.doi.org/10.3390/bs13070541.

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With the emergence of social commerce, customer engagement is increasingly considered as an important influencing factor for enterprises to maintain a competitive advantage. Despite the extensive literature examining the determinants of customer engagement in social commerce from the perspectives of platform functions and technical dimensions, discussions on social interaction remain rare. Based on a sample dataset of 460 valid questionnaires collected via an online survey within China, using the structural equation model, this study attempts to investigate the effect of social interaction on

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Fragaszy, Dorothy M. "Extending the model: Pavlovian social learning." Behavioral and Brain Sciences 23, no. 2 (2000): 255–56. http://dx.doi.org/10.1017/s0140525x00292431.

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Domjan et al.'s model of how Pavlovian processes regulate social interaction can be extended to social learning, where an individual learns about the value of events, objects, or actions from information provided by another. The conditioned properties of a particular social partner, following from a history of interactions with that partner, can modulate the efficiency and specificity of social learning.

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Yang, Zhi, Jilong Xue, Christo Wilson, Ben Zhao, and Yafei Dai. "Uncovering User Interaction Dynamics in Online Social Networks." Proceedings of the International AAAI Conference on Web and Social Media 9, no. 1 (2021): 698–701. http://dx.doi.org/10.1609/icwsm.v9i1.14654.

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Measurement studies of online social networks (OSNs)show that all social links are not equal, and the strength of each link is best characterized by the frequency of interactions between the linked users. To date, few studieshave been able to examine detailed interactiondata over time. In this paper, we first analyze the interaction dynamics in a large online social network. We find that users invite new friends to interact at a nearly constant rate, prefer to continue interacting with friends with whom they have a larger number of historical interactions,and most social links drop in interact

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CONTUCCI, PIERLUIGI, IGNACIO GALLO, and GIULIA MENCONI. "PHASE TRANSITIONS IN SOCIAL SCIENCES: TWO-POPULATION MEAN FIELD THEORY." International Journal of Modern Physics B 22, no. 14 (2008): 2199–212. http://dx.doi.org/10.1142/s0217979208039423.

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A new mean field statistical mechanics model of two interacting groups of spins is introduced, and the phase transition is studied in terms of their relative size. A jump of the average magnetization is found for large values of the mutual interaction when the relative percentage of the two populations crosses a critical threshold. It is shown how the critical percentage depends on internal interactions and on the initial magnetizations. The model is interpreted as a prototype of resident-immigrant cultural interaction, and conclusions from the social sciences perspectives are drawn.

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Sahrul, Sahrul, and Afrahul Fadhila Daulai. "Social Interaction Model Of Different Religious Communities In The Karo District, Northern Sumatera." Jurnal Pemberdayaan Masyarakat 12, no. 1 (2024): 40. https://doi.org/10.37064/jpm.v12i1.19781.

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<p>This study observes social interaction models of different religious communities in Karo District, Sumatera Utara. This area is classified as a plurality in terms of religion, ethnicity, class and culture. A qualitative research is employed which data is obtained from interviews, observations and documentary studies. Data analysis techniques using data reduction, data display and verification refer to the opinion of Miles and Huberman. The results found that five social interaction models of different religious. First, Community's Social interactions between local governments and Musl

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Dissertations / Theses on the topic "Social interaction model"

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Weng, Huibin. "A Social Interaction Model with Endogenous Network Formation." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin159317152899108.

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Blay, Joseph Anna Gemma. "Social interaction in the nursery : evaluating a model of guided participation." Thesis, University College London (University of London), 2001. http://discovery.ucl.ac.uk/10020373/.

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Jansson, Kenny. "A model for cultivating resistance to social engineering attacks." Thesis, Nelson Mandela Metropolitan University, 2011. http://hdl.handle.net/10948/1588.

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The human being is commonly considered as being the weakest link in information security. Subsequently, as information is one of the most critical assets in an organization today, it is essential that the human element is considered in deployments of information security countermeasures. However, the human element is often neglected in this regard. Consequently, many criminals are now targeting the user directly to obtain sensitive information instead of spending days or even months trying to hack through systems. Some criminals are targeting users by utilizing various social engineering techn

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Brown, LaVonda N. "Developing an engagement and social interaction model for a robotic educational agent." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54440.

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Effective educational agents should accomplish four essential goals during a student's learning process: 1) monitor engagement, 2) re-engage when appropriate, 3) teach novel tasks, and 4) improve retention. In this dissertation, we focus on all of these objectives through use of a teaching device (computer, tablet, or virtual reality game) and a robotic educational agent. We begin by developing and validating an engagement model based on the interactions between the student and the teaching device. This model uses time, performance, and/or eye gaze to determine the student's level of engagemen

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Mendes, MarÃlia Soares. "MALTU - model for evaluation of interaction in social systems from the Users Textual Language." Universidade Federal do CearÃ, 2015. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=14296.

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The field of Human Computer Interaction (HCI) has suggested various methods for evaluating systems in order to improve their usability and User eXperience (UX). The advent of Web 2.0 has allowed the development of applications marked by collaboration, communication and interaction among their users in a way and on a scale never seen before. Social Systems (SS) (e.g. Twitter, Facebook, MySpace, LinkedIn etc.) are examples of such applications and have features such as: frequent exchange of messages, spontaneity and expression of feelings. The opportunities and challenges posed by these types of

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Grencavage, Lisa Maria. "Demand-withdraw couple interaction, disease-model beliefs, and readiness to change problem drinking." Diss., The University of Arizona, 2000. http://hdl.handle.net/10150/284216.

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This study examined relationships among couple demand-withdraw interaction (DWI), alcoholics' and partners' beliefs in the disease model of alcoholism, and alcoholics' readiness to change problem drinking. A secondary purpose was to further investigate the construct validity of the University of Rhode Island Change Assessment Scale (URICA; McConnaughy, Prochaska, & Velicer, 1983), a frequently used measure of readiness to change. A sample of 63 male alcoholics and their female partners received up to 20 sessions of cognitive-behavioral or family-systems therapy for alcoholism as part of a larg

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Kim, Jinhan. "J-model : an open and social ensemble learning architecture for classification." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/7672.

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Ensemble learning is a promising direction of research in machine learning, in which an ensemble classifier gives better predictive and more robust performance for classification problems by combining other learners. Meanwhile agent-based systems provide frameworks to share knowledge from multiple agents in an open context. This thesis combines multi-agent knowledge sharing with ensemble methods to produce a new style of learning system for open environments. We now are surrounded by many smart objects such as wireless sensors, ambient communication devices, mobile medical devices and even inf

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Ochs, Nancy G. "Racial issues in White dyads: An investigation of Helms's interaction model." W&M ScholarWorks, 1992. https://scholarworks.wm.edu/etd/1539618677.

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Experienced counselors in three eastern states were surveyed about the incidence of racial issues presented by their White clients and were asked to complete the White Racial Identity Attitudes Scales (WRIAS) and to respond to a questionnaire about a White client presenting a racial issue. Nearly a quarter of the counselors responding to the survey reported having some clients raising racial issues as main issues in counseling, and 45% reported having some clients bringing up racial issues relevant to their counseling. Respondents generally did not have training to help White clients with raci

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Paulk, Stephanie Jeanne. "Exploring the Role of Context on Racially Responsive Supervision: The Racial Identity Social Interaction Model." Thesis, Boston College, 2017. http://hdl.handle.net/2345/bc-ir:107894.

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Thesis advisor: Janet E. Helms<br>Supervision may be an ideal format for training psychologists to be racially and culturally responsive because supervisors can tailor interventions to fit supervisees’ individual developmental needs. Nevertheless, over 30 years ago, counseling psychology researchers began identifying harmful effects of racially and culturally unresponsive supervision from the perspectives of supervisees. Missing from the literature has been empirical evidence from the perspectives of supervisors themselves. Moreover, research has failed to explore the influence of context (i.e

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McDaid, Sarah. "A model for human-computer interaction based on human-human communication in a social context." Thesis, London South Bank University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618685.

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Books on the topic "Social interaction model"

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Johansson, Susanna. Collaborating Against Child Abuse: Exploring the Nordic Barnahus Model. Springer Nature, 2017.

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Parslow, Carla A. Social interaction in the prehistoric Natufian: Generating an interactive agency model using GIS. Archaeopress, 2009.

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Pellegrini, Anthony D. The role of close relationships in early literacy learning: Towards a working model. National Reading Research Center, 1997.

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Kalmykov, Sergey, and Nikolay Pashin. Social advertising: designing effective interaction with the target audience. INFRA-M Academic Publishing LLC., 2017. http://dx.doi.org/10.12737/23289.

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The monograph analyzes the possibility of managing the process of socio-advertising influence on socio-demographic groups. The developed methodological bases with the use of the multivariate paradigmatic status of sociological knowledge allowed us to form: principles of designing social advertising interaction, factors of efficiency (quality) of social advertising, a system of sociological quality assurance of social advertising. Insufficiently studied problems of efficiency and quality of social advertising are investigated. The coefficients of the importance of its efficiency factors (

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M, Bonner, and Educational Resources Information Center (U.S.), eds. The shared responsibility framework of social interaction for collective investment: Introducing a model to enhance school improvement. Shared Responsibility Project, Institute on Community Integration (UAP), the College of Education & Human Development, University of Minnesota, 1999.

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Rogers, Sally J. early start Denver model for young children with autism: Promoting language, learning, and engagement. Guilford Press, 2010.

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Rogers, Sally J. early start Denver model for young children with autism: Promoting language, learning, and engagement. Guilford Press, 2010.

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Geraldine, Dawson, ed. Early Start Denver Model for young children with autism: Promoting language, learning, and engagement. Guilford Press, 2010.

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Cicala, Steve. A roy model of social interactions. National Bureau of Economic Research, 2011.

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Saffer, Henry. The demand for social interaction. National Bureau of Economic Research, 2005.

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Book chapters on the topic "Social interaction model"

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Herreiner, Dorothea K. "Local Interaction as a Model of Social Interaction?" In Advances in Computational Economics. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5029-7_9.

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Helmi, Ameer, Kristen M. Koenig, and Naomi T. Fitter. "A Model Child? Behavior Models for Simulated Infant-Robot Interaction." In Social Robotics. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-24670-8_1.

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Cornelius, Gary, Nico Hochgeschwender, and Holger Voos. "Model-Driven Interaction Design for Social Robots." In Software Technologies: Applications and Foundations. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74730-9_20.

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Pedersen, Mina Young, Marija Slavkovik, and Sonja Smets. "Social Bot Detection as a Temporal Logic Model Checking Problem." In Logic, Rationality, and Interaction. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88708-7_13.

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Li, Xiguang, Candy Olivia Mawalim, and Shogo Okada. "Inter-person Intra-modality Attention Based Model for Dyadic Interaction Engagement Prediction." In Social Computing and Social Media. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35915-6_8.

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Belkaroui, Rami, Rim Faiz, and Pascale Kuntz. "User-Tweet Interaction Model and Social Users Interactions for Tweet Contextualization." In Computational Collective Intelligence. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24069-5_14.

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Gruber, Mira E., and P. A. Hancock. "The Self-Evaluation Maintenance Model in Human-Robot Interaction: A Conceptual Replication." In Social Robotics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90525-5_23.

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Seok, Sukyung, Tae-Hee Jeon, Yu-Jung Chae, ChangHwan Kim, and Yoonseob Lim. "Explorative Study on the Non-verbal Backchannel Prediction Model for Human-Robot Interaction." In Social Robotics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8715-3_23.

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Poggi, Isabella. "A sociocognitive model of mind, social interaction, emotion, and communication." In Social Influence, Power, and Multimodal Communication. Routledge, 2022. http://dx.doi.org/10.4324/9781003029274-2.

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de Melo, Celso M., Peter Carnevale, Dimitrios Antos, and Jonathan Gratch. "A Computer Model of the Interpersonal Effect of Emotion Displayed in a Social Dilemma." In Affective Computing and Intelligent Interaction. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24600-5_10.

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Conference papers on the topic "Social interaction model"

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Shaghaghi, Sahand, Pourya Aliasghari, Bryan Tripp, Britt Anderson, Kerstin Dautenhahn, and Chrystopher L. Nehaniv. "Towards an Interaction Architecture for the iCub Robot: Social Gaze Space Model Adaptation for Social Interaction." In 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids). IEEE, 2024. https://doi.org/10.1109/humanoids58906.2024.10769785.

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Mazumdar, Bireshwar Dass, Prashant K. Gupta, and Rama S. Komaragiri. "Multi-Agent Based Social Interaction Model for Neurological Disorder." In 2024 First International Conference on Pioneering Developments in Computer Science & Digital Technologies (IC2SDT). IEEE, 2024. http://dx.doi.org/10.1109/ic2sdt62152.2024.10695958.

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Ma, Suchuan, Jiarui Zhao, Yunhao Yang, Jiarui Fu, and Chi Zhang. "CMCY: A Dual Closed-loop Social Physics Cognitive Model for Youth Education via Virtual-Real Interaction." In 2024 International Conference on Intelligent Robotics and Automatic Control (IRAC). IEEE, 2024. https://doi.org/10.1109/irac63143.2024.10871763.

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Laohakangvalvit, Tipporn, Nopphakorn Subsa-ard, Felipe Yudi Fulini, Kaoru Suzuki, and Midori Sugaya. "Improving Facial Emotion Recognition Model in Social Robot Using Graph-Based Techniques with 3D Face Orientation." In 2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). IEEE, 2024. https://doi.org/10.1109/aciiw63320.2024.00050.

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Liu, Xuejiao. "QUALITY OF LIFE OF UNIVERSITY STUDENTS WITH DISABILITIES: AN ECOSYSTEM PERSPECTIVE." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/vs08/65.

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This article explores the quality of life (QoL) among university students with disabilities through the lens of Bio-ecological Systems Theory and its Process-Person-Context-Time (PPCT) model. This approach integrates insights from biological, psychological, and social sciences to examine the complex interactions between students and their environments, from microsystems to macrosystems. We clarify how environmental elements and individual traits influence students� experiences by concentrating on dynamic engagement and interaction processes throughout time. Building on Bronfenbrenner�s work, w

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Flesch, Benjamin Johannes. "Social Interaction Model." In 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018. http://dx.doi.org/10.1109/bigdata.2018.8622346.

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Lozano, Cesar, and Rocio Maciel. "Technological-Social Model." In CLIHC '17: 8th Latin American Conference on Human-Computer Interaction. ACM, 2017. http://dx.doi.org/10.1145/3151470.3156648.

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Park, Jaehui, and Yunkyung Park. "Social Interaction Propensity Model Using Information Entropy." In 2013 International Conference on Cloud and Green Computing (CGC). IEEE, 2013. http://dx.doi.org/10.1109/cgc.2013.52.

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Andrei, Oana, and Gabriel Murray. "Interpreting Models of Social Group Interactions in Meetings with Probabilistic Model Checking." In the Group Interaction Frontiers in Technology. ACM Press, 2018. http://dx.doi.org/10.1145/3279981.3279988.

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Truschzinski, Martina, and Nicholas Müller. "An emotional model for social robots." In HRI'14: ACM/IEEE International Conference on Human-Robot Interaction. ACM, 2014. http://dx.doi.org/10.1145/2559636.2559837.

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Reports on the topic "Social interaction model"

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Deutsch, Stephen, and Michael Young. A Computational Dual-Process Model of Social Interaction. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada612453.

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Salazar, Alessandro Toledo, Matthew Medrano, Mathias Duque Medina, Julio Roa, and Jorge E. Pesantez. Enhancing Evacuation Warning Responsiveness: Exploring the Impact of Social Interactions through an Agent-Based Model Approach. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2356.

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Evacuations are the preferred response to human- or natural-caused disasters. The process often involves people deciding when and how to evacuate based on messages from local authorities. However, diverse opinions of the affected people may influence their decision to evacuate or to stay and see how the situation unfolds. This project applies an opinion dynamics concept to model the opinion and decision-making of people threatened by wildfire. To demonstrate how individual opinions evolve with time, the model applies an agent-based approach that includes the interaction between an agency sendi

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Ivanova, Iryna, and Elena Afanasieva. MODEL OF INTERACTION BETWEEN ADVERTISING, PR AND JOURNALISM. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.49.11060.

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The article is an overview of the journalism – PR – advertising relationship at the terminological, empirical-analytical and practical levels. It traces the state of the discussion of these correlations in the post-soviet media such as Ukraine. The study describes that domesticating the importance of the appropriate partnership between the three communication technologies. The thesis is that journalism, advertising and PR create a mutual connection that takes place in an atmosphere of PR and advertising permissiveness and deepens with the development of digitalization, Social network developme

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Comola, Margherita, Rokhaya Dieye, and Bernard Fortin. Heterogeneous peer effects and gender-based interventions for teenage obesity. CIRANO, 2022. http://dx.doi.org/10.54932/tqag9043.

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This paper explores the role of gender heterogeneity in the social diffusion of obesity among adolescents and its policy implications. We propose a generalized linear social interaction model which allows for gender-dependent heterogeneity in peer effects through the channel of social synergy. We estimate the model using data on adolescent Body Mass Index and network-based interactions. Our results show that peer effects are gender-dependent, and male students are particularly responsive to the weight of their female friends. Our simulations indicate that female-tailored interventions are like

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Lang, Jonas. Multilevel Modeling in R: Basic and Advanced Methods. Instats Inc., 2023. http://dx.doi.org/10.61700/aac2dxlrxcebk469.

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The seminar teaches basic and intermediate multilevel techniques used in the social, health, and organizational sciences in an accessible manner. The course relies on the free software R and the modeling packages lme4 and nlme along with help functions and datasets from the multilevel library (Bliese, 2021). Topics include (1) aggregation models and the use of agreement and reliability statistics like the ICC1, ICC2, and rwg, (2) model specification and interpretation of “standard” multilevel models used in organizational research (data centering, random slopes, interaction effects), (3) graph

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Lang, Jonas. Multilevel Modeling in R: Basic and Advanced Methods + 1 Free Seminar. Instats Inc., 2022. http://dx.doi.org/10.61700/sw0snl2upp0gv469.

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The hands-on seminar teaches basic and intermediate multilevel techniques used in the social, health, and organizational sciences in an accessible manner. The course relies on the free software R and the modeling packages lme4 and nlme along with help functions and datasets from the multilevel library (Bliese, 2021). Topics include (1) aggregation models and the use of agreement and reliability statistics like the ICC1, ICC2, and rwg, (2) model specification and interpretation of “standard” multilevel models used in organizational research (data centering, random slopes, interaction effects),

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Blume, Lawrence, William Brock, Steven Durlauf, and Rajshri Jayaraman. Linear Social Interactions Models. National Bureau of Economic Research, 2013. http://dx.doi.org/10.3386/w19212.

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Cicala, Steve, Roland Fryer, and Jörg Spenkuch. A Roy Model of Social Interactions. National Bureau of Economic Research, 2011. http://dx.doi.org/10.3386/w16880.

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Reif, Julian. A Model of Addiction and Social Interactions. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w24842.

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Fryer, Roland. A Model of Social Interactions and Endogenous Poverty Traps. National Bureau of Economic Research, 2006. http://dx.doi.org/10.3386/w12364.

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