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The neighborhood role in the linear threshold rank on social networks

Author
Riquelme, F.; Gonzalez, P.; Molinero, X.; Serna, M.
Type of activity
Journal article
Journal
Physica A: statistical mechanics and its applications
Date of publication
2019-08-15
Volume
528
First page
121430-1
Last page
121430-10
DOI
10.1016/j.physa.2019.121430
Project funding
ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formal
Grup de Recerca en Teoria de Jocs
Repository
http://hdl.handle.net/2117/169655 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0378437119308349 Open in new window
Abstract
Centrality and influence spread are two of the most studied concepts in social network analysis. Several centrality measures, most of them, based on topological criteria, have been proposed and studied. In recent years new centrality measures have been defined inspired by the two main influence spread models, namely, the Independent Cascade Model (IC-model) and the Linear Threshold Model (LT-model). The Linear Threshold Rank (LTR) is defined as the total number of influenced nodes when the initi...
Keywords
Centrality, Linear threshold model, Neighborhood, Social network, Spread of influence
Group of research
ALBCOM - Algorithms, Computational Biology, Complexity and Formal Methods
GRTJ - Game Theory Research Group

Participants