The Rank-One and the Preferential Attachment Paradigm

Steffen Dereich ()
Additional contact information
Steffen Dereich: Westfälische-Wilhelms Universität Münster, Institute of Mathematical Stochastics

Chapter Chapter 4 in Network Science, 2019, pp 43-58 from Springer

Abstract: Abstract Starting from the late 1990s, the analysis of complex networks has attracted significant attention within the scientific community. With the birth of social networks, information became available on personal interaction on large scales which immediately raised the question about the nature of this interaction. Mathematically one asks for models that have similar features as real-world complex networks. In particular, one wants to understand the reasons for the prevalent artefacts of complex networks. In this article, we review some classical models with a focus on two paradigms, rank-one models and preferential attachment.

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_4

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

DOI: 10.1007/978-3-030-26814-5_4

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 ().