3rd International Winter School and Conference on Network Science : NetSci-X 2017 / edited by Erez Shmueli, Baruch Barzel, Rami Puzis.

Format:

Book

Contributor:

Shmueli, Erez., Editor.

Barzel, Baruch., Editor.

Puzis, Rami, 1980- Editor.

Series:

Springer Proceedings in Complexity, 2213-8692

Language:

English

Subjects (All):

Graph theory.

Computer simulation.

Sociology--Methodology.

Sociology.

System theory.

Bioinformatics.

Graph Theory.

Computer Modelling.

Sociological Methods.

Complex Systems.

Computational and Systems Biology.

Local Subjects:

Graph Theory.

Computer Modelling.

Sociological Methods.

Complex Systems.

Computational and Systems Biology.

Physical Description:

1 online resource (VI, 130 p. 32 illus., 17 illus. in color.)

Edition:

1st ed. 2017.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2017.

Summary:

This book contains original research chapters related to the interdisciplinary field of complex networks spanning biological and environmental networks, social, technological, and economic networks. Many natural phenomena can be modeled as networks where nodes are the primitive compounds and links represent their interactions, similarities, or distances of sorts. Complex networks have an enormous impact on research in various fields like biology, social sciences, engineering, and cyber-security to name a few. The topology of a network often encompasses important information on the functionality and dynamics of the system or the phenomenon it represents. Network science is an emerging interdisciplinary discipline that provides tools and insights to researchers in a variety of domains. NetSci-X is the central winter conference within the field and brings together leading researchers and innovators to connect, meet, and establish interdisciplinary channels forcollaboration. It is the largest and best known event in the area of network science. This text demonstrates how ideas formulated by authors with different backgrounds are transformed into models, methods, and algorithms that are used to study complex systems across different domains and will appeal to researchers and students within in the field. .

Contents:

Chapter1. Node-Centric Detection of Overlapping Communities in Social Networks

Chapter2. Community structures evaluation in complex networks: A descriptive approach

Chapter3. Do Network Models Just Model Networks? On The Applicability of Network Oriented Modeling

Chapter4. Visibility of nodes in network growth models

Chapter5. Topology data analysis of critical transitions in financial networks

Chapter6. Modeling and Analysis of Glass Ceiling and Power Inequality in Bi-populated Societies

Chapter7. Elites in Social Networks: An Axiomatic Approach

Chapter8. Ranking scientific papers on the basis of their citations growing trend

Chapter9. Towards network economics: the problem of the network modus of value

Chapter10. Open Questions in Multidimensional Multilevel Network Science. .

Notes:

Includes bibliographical references at the end of each chapters and index.

ISBN:

3-319-55471-9