Introduction

Francesca Biagini (), Göran Kauermann () and Thilo Meyer-Brandis ()
Additional contact information
Francesca Biagini: University of Munich, Department of Mathematics
Göran Kauermann: University of Munich, Department of Statistics
Thilo Meyer-Brandis: University of Munich, Department of Mathematics

Chapter Chapter 1 in Network Science, 2019, pp 1-4 from Springer

Abstract: Abstract Network Science is a term used for a wide field of methods all related to analyzing networks and/or network data. This ranges from mathematical questions to applied data analytic problems. We give a general overview of the different aspects and refer to the chapters in this book.

Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-26814-5_1

Ordering information: This item can be ordered from
http://www.springer.com/9783030268145

DOI: 10.1007/978-3-030-26814-5_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().