EconPapers    
Economics at your fingertips  
 

The degree measure as utility function over positions in networks

René van den Brink () and Agnieszka Rusinowska ()
Additional contact information
René van den Brink: Department of Econometrics and Tinbergen Institute, VU University, http://staff.feweb.vu.nl/jbrink/
Agnieszka Rusinowska: Centre d'Economie de la Sorbonne - Paris School of Economics, https://sites.google.com/site/rusinowskagrabisch/

Documents de travail du Centre d'Economie de la Sorbonne from Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne

Abstract: In this paper, we connect the social network theory on centrality measures to the economic theory of preferences and utility. Using the fact that networks form a special class of cooperative TU-games, we provide a foundation for the degree measure as a von Neumann-Morgenstern expected utility function reflecting preferences over being in different positions in different networks. The famous degree measure assigns to every position in a weighted network the sum of the weights of all links with its neighbours. A crucial property of a preference relation over network positions is neutrality to ordinary risk. If an expected utility function over network positions satisfies this property and some regularity properties, then it must be represented by a utility function that is a multiple of the degree centrality measure. We show this in three steps. First, we characterize the degree measure as a centrality measure for weighted networks using four natural axioms. Second, we relate these network centrality axioms to properties of preference relations over positions in networks. Third, we show that the expected utility function is equal to a multiple of the degree measure if and only if it represents a regular preference relation that is neutral to ordinary risk. Similarly, we characterize a class of affine combinations of the outdegree and indegree measure in weighted directed networks and deliver its interpretation as a von Neumann-Morgenstern expected utility function

Keywords: Weigthed network; network centrality; utility function; degree centrality, von Neumann-Morgenstern expected utility function; coopeative TU-game; weighted directed network (search for similar items in EconPapers)
JEL-codes: D81 D85 C02 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-gth, nep-mic, nep-soc and nep-upt
Date: 2017-07
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
ftp://mse.univ-paris1.fr/pub/mse/CES2017/17035.pdf (application/pdf)

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:mse:cesdoc:17035

Access Statistics for this paper

More papers in Documents de travail du Centre d'Economie de la Sorbonne from Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne Contact information at EDIRC.
Bibliographic data for series maintained by Lucie Label ().

 
Page updated 2019-07-20
Handle: RePEc:mse:cesdoc:17035