A Monte Carlo Method for the Diffusion of Information Between Mobile Agents

Alberto Berretti () and Simone Ciccarone ()
Additional contact information
Alberto Berretti: Università di Tor Vergata
Simone Ciccarone: Università di Tor Vergata

A chapter in Exploring Digital Ecosystems, 2020, pp 329-339 from Springer

Abstract: Abstract Berretti, Alberto Ciccarone, SimoneA new model for the local spread of some token (e.g. malware between mobile computing devices, information in a mobile social network, rumors in a moving crowd) is introduced. The diffusion of the information is analyzed both empirically by a Monte Carlo method and analytically by mean field theory, revealing the existence of a phase transition. The results are compared and found in strong qualitative agreement.

Keywords: Monte Carlo Simulation; Information Diffusion; Social Networks (search for similar items in EconPapers)
Date: 2020
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:lnichp:978-3-030-23665-6_24

Ordering information: This item can be ordered from
http://www.springer.com/9783030236656

DOI: 10.1007/978-3-030-23665-6_24

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().