Noname manuscript No. (will be inserted by the editor) Towards hybrid price discrimination via neighbours properties in network-driven economy Jacopo Arpetti · Antonio Iovanella Received: date / Accepted: date Abstract Increased data gathering capacity, together with the spreading of data analytics techniques, has allowed an unprecedented concentration of in- formation related to the individuals’ preferences in the hands of a few gatekeep- ers. In such context, the traditional economic literature has been attempting to frame all the data-driven economy features. Such features, although being able to bring about a more efficient matching of people and relevant purchase opportunities, also result into distortions and disequilibria, up to market fail- ures. Data-economy market disequilibria can be decrypted by leveraging on some of the known network properties, thus obtaining general results suitable for building a new theoretical framework for economic phenomena. Starting from the hypothesis that a digital company can always benefit from an un- derlying network of consumers or items related to its market, their represen- tation can indeed provide significant competitive advantages, also enhancing the platforms’ capacity to implement discriminatory practices by means of an increased ability to estimate individuals’ preferences. In the present paper, we propose a measure called Information Patrimony, considering the amount of information available within the system and we look into how platforms may exploit data stemming from connected profiles within a network, with a view to obtaining competitive advantages. Such information flow may eventually allow to envisage the emergence of a new hybrid price discrimination pattern, through which platforms may influence and steer individuals’ purchase choices, as well as to apply different prices to different customers. Keywords Price discrimination · Data value · Network-driven economy · Networks theory · Nearest neighbour degree · Information patrimony Jacopo Arpetti, corresponding author (http://orcid.org/0000-0002-3448-1055), Antonio Iovanella, (http://orcid.org/0000-0001-8147-3747) Department of Enterprise Engineering, University of Rome Tor Vergata, Via del Politecnico, 1 - 00133, Rome, Italy Tel.: +39-06-72597788 E-mail: (jacopo.arpetti, antonio.iovanella)@uniroma2.it arXiv:1903.11469v1 [cs.SI] 27 Mar 2019