scholarly journals Understanding complex systems: When Big Data meets network science

2015 ◽  
Vol 57 (4) ◽  
Author(s):  
Ingo Scholtes
Keyword(s):  
Social Sciences ◽  
Big Data ◽  
Complex Systems ◽  
Computer Science ◽  
Network Science ◽  
Grand Challenge ◽  
Research Activities

AbstractBetter understanding and controlling complex systems has become a grand challenge not only for computer science, but also for the natural and social sciences. Many of these systems have in common that they can be studied from a network perspective. Consequently methods from network science have proven instrumental in their analysis. In this article, I introduce the macroscopic perspective that is at the heart of network science. Summarizing my recent research activities, I discuss how a combination of this perspective with Big Data methods can improve our understanding of complex systems.

International Relations at the Beginning of the XX Century in the Works of Vladimir Mikhailovich Khvostov

2019 ◽  
Vol 9 (4) ◽  
pp. 218-221
Author(s):  
Albina Imamutdinova ◽  
Nikita Kuvshinov ◽  
Elena Andreeva ◽  
Elena Venidiktova
Keyword(s):  
Social Sciences ◽  
Foreign Policy ◽  
International Relations ◽  
Significant Role ◽  
Research Activities ◽  
History Of

Abstract The article discusses the research activities of Vladimir Mikhailovich Khvostov, his creative legacy on issues and problems of international relations of the early ХХ century; the life of V.M. Khvostov, characterization and evolution of his approaches and views on the history of international relations, foreign policy. A prominent organizer and theorist in the field of pedagogical Sciences, academician Vladimir Mikhailovich Khvostov played a significant role in the formation of the Academy of pedagogical Sciences of the USSR – the all-Union center of pedagogical thought. As its first President, he paid great attention to the development and improvement of the system of humanitarian education in the school, taking into account all the tasks and requirements imposed by the practice of Communist construction in our country. In his reports and speeches at various scientific sessions and conferences, he repeatedly emphasized the exceptional importance of social Sciences in the training of not only educated girls and boys, but also in the formation of politically literate youth.

Networks

2018 ◽  
Author(s):  
Stefan Thurner ◽  
Rudolf Hanel ◽  
Peter Klimekl
Keyword(s):  
Complex Systems ◽  
Complex Networks ◽  
Phase Diagrams ◽  
Community Detection ◽  
Network Science ◽  
Small World ◽  
Small World Networks ◽  
Multilayer Networks ◽  
Basic Vocabulary

Understanding the interactions between the components of a system is key to understanding it. In complex systems, interactions are usually not uniform, not isotropic and not homogeneous: each interaction can be specific between elements.Networks are a tool for keeping track of who is interacting with whom, at what strength, when, and in what way. Networks are essential for understanding of the co-evolution and phase diagrams of complex systems. Here we provide a self-contained introduction to the field of network science. We introduce ways of representing and handle networks mathematically and introduce the basic vocabulary and definitions. The notions of random- and complex networks are reviewed as well as the notions of small world networks, simple preferentially grown networks, community detection, and generalized multilayer networks.

scholarly journals Big Data: Some Ethical Concerns for the Social Sciences

2021 ◽  
Vol 10 (2) ◽  
pp. 36
Author(s):  
Michael Weinhardt
Keyword(s):  
Social Sciences ◽  
Big Data ◽  
Ethical Issues ◽  
Online Behavior ◽  
Ethical Concerns ◽  
Ethical Implications ◽  
The Social ◽  
And Behaviors ◽  
State Actors

While big data (BD) has been around for a while now, the social sciences have been comparatively cautious in its adoption for research purposes. This article briefly discusses the scope and variety of BD, and its research potential and ethical implications for the social sciences and sociology, which derive from these characteristics. For example, BD allows for the analysis of actual (online) behavior and the analysis of networks on a grand scale. The sheer volume and variety of data allow for the detection of rare patterns and behaviors that would otherwise go unnoticed. However, there are also a range of ethical issues of BD that need consideration. These entail, amongst others, the imperative for documentation and dissemination of methods, data, and results, the problems of anonymization and re-identification, and the questions surrounding the ability of stakeholders in big data research and institutionalized bodies to handle ethical issues. There are also grave risks involved in the (mis)use of BD, as it holds great value for companies, criminals, and state actors alike. The article concludes that BD holds great potential for the social sciences, but that there are still a range of practical and ethical issues that need addressing.

scholarly journals Polynomials and General Degree-Based Topological Indices of Generalized Sierpinski Networks

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Chengmei Fan ◽  
M. Mobeen Munir ◽  
Zafar Hussain ◽  
Muhammad Athar ◽  
Jia-Bao Liu
Keyword(s):  
Complex Systems ◽  
Computer Science ◽  
Topological Indices ◽  
Fractal Nature ◽  
Similar Nature ◽  
Zagreb Index ◽  
Recursive Sequences ◽  
And Mathematics

Sierpinski networks are networks of fractal nature having several applications in computer science, music, chemistry, and mathematics. These networks are commonly used in chaos, fractals, recursive sequences, and complex systems. In this article, we compute various connectivity polynomials such as M -polynomial, Zagreb polynomials, and forgotten polynomial of generalized Sierpinski networks S k n and recover some well-known degree-based topological indices from these. We also compute the most general Zagreb index known as α , β -Zagreb index and several other general indices of similar nature for this network. Our results are the natural generalizations of already available results for particular classes of such type of networks.

scholarly journals Study on the comprehensive computational thinking transformation of urban planning discipline in the era of big data

2020 ◽  
Author(s):  
Haixuan Zhu ◽  
◽  
Xiaoyu Jia ◽  
Pengluo Que ◽  
Xiaoyu Hou ◽  
...  
Keyword(s):  
Big Data ◽  
Urban Planning ◽  
Computer Science ◽  
Research Methods ◽  
Data Storage ◽  
Computational Thinking ◽  
Rural Planning ◽  
Human Beings ◽  
New Paradigm ◽  
Thinking Mode

In the era of big data, with the development of computer technology, especially the comprehensive popularization of mobile terminal device and the gradual construction of the Internet of Things, the urban physical environment and social environment have been comprehensively digitized and quantified. Computational thinking mode has gradually become a new thinking mode for human beings to recognize and govern urban complex system. Meanwhile computational urban science has become the main discipline development aspect of modern urban planning. Computational thinking is the thinking of computer science using algorithms based on time complexity and space complexity, which provides a new paradigm for the construction of index system, data collection, data storage, data analysis, pattern recognition, dynamic governance in the process of scientific planning and urban management. Based on this, this paper takes the computational thinking mode of urban planning discipline in big data era as the research object, takes the scientific construction of computational urban planning as the research purpose, and adopts literature research methods and interdisciplinary research methods, comprehensively studies the connotation of the computing thinking mode of computer science. Meanwhile, this paper systematically discusses the system construction of urban computing, model generation, the theory and method of digital twinning, as well as the popularization of the computational thinking mode of urban and rural planning discipline and the scientific research of computational urban planning, which responds to the needs of the era of the development of urban and rural planning disciplines in the era of big data.

scholarly journals Assemblage theory: coping with complexity in technology enhanced language learning

2019 ◽  
pp. 280-284
Author(s):  
Blair Matthews
Keyword(s):  
Social Sciences ◽  
Complex Systems ◽  
Language Learning ◽  
Assemblage Theory ◽  
The Social ◽  
Language Classroom ◽  
Language Classrooms ◽  
Theory Of Complexity

Language classrooms are complex systems, but theory often simplifies these processes making researching effectiveness difficult. Assemblage theory – a theory of complexity in the social sciences – allows us to examine complexity in the language classroom. In this paper, I present an account of the language classroom that captures the complexity, subjectivity, and temporality of technology enhanced language learning.

scholarly journals North Perspectives for a Better South? Big Data and the Global South in Big Data & Society

2019 ◽  
pp. 84-107
Author(s):  
Guilherme Cavalcante Silva
Keyword(s):  
Social Sciences ◽  
Big Data ◽  
Global South ◽  
The Other ◽  
The South ◽  
Local Data ◽  
Social Scientists ◽  
Data Practices ◽  
Academic Scholarship ◽  
The One

Over the last few years, data studies within Social Sciences watched a growth in the number of researches highlighting the need for more proficuous participation from the Global South in the debates of the field. The lack of Southern voices in the academic scholarship on the one hand, and of recognition of the importance and autonomy of its local data practices, such as those from indigenous data movements, on the other, had been decisive in establishing a Big Data in the South agenda. This paper displays an analytical mapping of 131 articles published from 2014-2016 in Big Data & Society (BD&S), a leading journal acknowledged for its pioneering promotion of Big Data research among social scientists. Its goal is to provide an overview of the way data practices are approached in BD&S papers concerning its geopolitical instance. It argues that there is a tendency to generalise data practices overlooking the specific consequences of Big Data in Southern contexts because of an almost exclusive presence of Euroamerican perspectives in the journal. This paper argues that this happens as a result of an epistemological asymmetry that pervades Social Sciences.

Sign in / Sign up

Export Citation Format

Share Document