scholarly journals A mathematical framework for the complex system approach to group dynamics: The case of recovery house social integration.

2016 ◽  
Vol 20 (1) ◽  
pp. 51-64 ◽  
Author(s):  
John M. Light ◽  
Leonard A. Jason ◽  
Edward B. Stevens ◽  
Sarah Callahan ◽  
Ariel Stone
Keyword(s):  
Complex System ◽  
Social Integration ◽  
Group Dynamics ◽  
System Approach ◽  
Mathematical Framework

scholarly journals The Dynamics of Google within the Frame of a Large Technical System

MaRBLe ◽  
2019 ◽  
Vol 2 ◽  
Author(s):  
Julian Johannes Schäfer
Keyword(s):  
Complex System ◽  
Conceptual Understanding ◽  
Exponential Growth ◽  
Science And Technology Studies ◽  
System Approach ◽  
Science And Technology ◽  
Technical System ◽  
System Structure ◽  
Theoretical Frameworks ◽  
The Us

The Large Technical System approach was introduced by the influential historian of technology, Thomas P. Hughes, in the 1970’s and is one of the most prominent theoretical frameworks within the Science and Technology Studies. However, it has found little attention in relation to the digital realm. This research applies the LTS framework onto the US-American company Google and seeks to bring a conceptual understanding to the company’s exponential growth. Thus, it describes the emergence and evolution of Google as a complex system – an alignment of components of technical and non-technical nature – and assigns patterns and concepts to its development. This research provides an answer to how Google not only gained a system structure but also reached the notion of momentum. Yet, suggesting a social constructivist path, this paper secludes by elucidating the influencing power of the LTS’s user – an important factor which was widely disregarded in the initial works of Hughes.

Parallel building: a complex system approach for smart building energy management

2019 ◽  
Vol 6 (6) ◽  
pp. 1452-1461
Author(s):  
Abdulaziz Almalaq ◽  
Jun Hao ◽  
Jun Jason Zhang ◽  
Fei-Yue Wang
Keyword(s):  
Complex System ◽  
Energy Management ◽  
System Approach ◽  
Building Energy ◽  
Smart Building ◽  
Building Energy Management

Group Dynamics

2013 ◽  
Author(s):  
Mark J. Macgowan
Keyword(s):  
Group Theory ◽  
Social Integration ◽  
Small Group ◽  
Group Dynamics ◽  
Group Work ◽  
Interpersonal Attraction ◽  
Group Development ◽  
Work Practice ◽  
History Of ◽  
Race Ethnicity

This entry is an overview of group dynamics relevant for group work practice. The history of small group theory and group dynamics is described. The bulk of the entry is dedicated to discussing four main areas of group dynamics: communication and interaction, interpersonal attraction and cohesion, social integration (power, influence, norms, roles, status), and group development. How these might vary according to gender, race, ethnicity, and culture is included. The entry ends with a discussion of trends and needs for further research.

scholarly journals Health and Disease Imprinted in the Time Variability of the Human Microbiome

mSystems ◽  
2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Jose Manuel Martí ◽  
Daniel Martínez-Martínez ◽  
Teresa Rubio ◽  
César Gracia ◽  
Manuel Peña ◽  
...  
Keyword(s):  
Complex System ◽  
Health Status ◽  
Temporal Stability ◽  
Initial Step ◽  
Mathematical Framework ◽  
Microbial Composition ◽  
Human Microbiota ◽  
Comprehensive Framework ◽  
Insight Into ◽  
Over Time

ABSTRACT The human microbiota correlates closely with the health status of its host. This article analyzes the microbial composition of several subjects under different conditions over time spans that ranged from days to months. Using the Langevin equation as the basis of our mathematical framework to evaluate microbial temporal stability, we proved that stable microbiotas can be distinguished from unstable microbiotas. This initial step will help us to determine how temporal microbiota stability is related to a subject’s health status and to develop a more comprehensive framework that will provide greater insight into this complex system. The animal microbiota (including the human microbiota) plays an important role in keeping the physiological status of the host healthy. Research seeks greater insight into whether changes in the composition and function of the microbiota are associated with disease. We analyzed published 16S rRNA and shotgun metagenomic sequencing (SMS) data pertaining to the gut microbiotas of 99 subjects monitored over time. Temporal fluctuations in the microbial composition revealed significant differences due to factors such as dietary changes, antibiotic intake, age, and disease. This article shows that a fluctuation scaling law can describe the temporal changes in the gut microbiota. This law estimates the temporal variability of the microbial population and quantitatively characterizes the path toward disease via a noise-induced phase transition. Estimation of the systemic parameters may be of clinical utility in follow-up studies and have more general applications in fields where it is important to know whether a given community is stable or not. IMPORTANCE The human microbiota correlates closely with the health status of its host. This article analyzes the microbial composition of several subjects under different conditions over time spans that ranged from days to months. Using the Langevin equation as the basis of our mathematical framework to evaluate microbial temporal stability, we proved that stable microbiotas can be distinguished from unstable microbiotas. This initial step will help us to determine how temporal microbiota stability is related to a subject’s health status and to develop a more comprehensive framework that will provide greater insight into this complex system. Author Video: An author video summary of this article is available.

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