SPREAD OF BELIEFS

The spread of Information on real-world networks

 Coordinatore MAX PLANCK GESELLSCHAFT ZUR FOERDERUNG DER WISSENSCHAFTEN E.V. 

 Organization address address: Hofgartenstrasse 8
city: MUENCHEN
postcode: 80539

contact info
Titolo: Prof.
Nome: Kurt
Cognome: Mehlhorn
Email: send email
Telefono: -9235732
Fax: -10156

 Nazionalità Coordinatore Germany [DE]
 Totale costo 155˙461 €
 EC contributo 155˙461 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2009-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2010
 Periodo (anno-mese-giorno) 2010-11-01   -   2011-03-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    MAX PLANCK GESELLSCHAFT ZUR FOERDERUNG DER WISSENSCHAFTEN E.V.

 Organization address address: Hofgartenstrasse 8
city: MUENCHEN
postcode: 80539

contact info
Titolo: Prof.
Nome: Kurt
Cognome: Mehlhorn
Email: send email
Telefono: -9235732
Fax: -10156

DE (MUENCHEN) coordinator 155˙461.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

certain    individuals    beliefs    mouth    arise    belief    describe    random    models    network    mainly    life    efficient    word    networks    spread    intend    mathematical    ideas    social    instance    typical   

 Obiettivo del progetto (Objective)

'The main theme of this project is the rigorous analysis of mathematical models for the dissemination of information on networks whose characteristics approximate those of networks that emerge in social life as well as in nature. In particular, we intend to study mathematical models which describe the spread of new beliefs and ideas within a given network. Such models have become of great importance in the last decade mainly due to the development of the Internet and its widespread influence on many aspects of social and economic life. Various beliefs and ideas as well as reputations of new products are spread through a word of mouth mechanism. The individuals of a certain society are influenced by those individuals they are related to and according to their own criteria they decide to adopt a new belief. On the other hand, the networks that arise in social life are not arbitrary, but exhibit certain structural characteristics which are mainly the result of their intrinsic randomness. Our primary aim is to analyse rigorously mechanisms that describe the word of mouth dissemination of information on a typical instance of a random network whose distributional characteristics are similar to those observed in real social networks. Furthermore, we intend to develop strategies that aim at the maximisation of the spread of a new belief on a typical instance of such a random network. More specifically, we will attempt to identify those structures that typically arise in a random network and facilitate the efficient spread of a new idea in it. This will lead to the design of efficient algorithms that will be working well in practice, that is, for the majority of the instances of a social network.'

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FOSSIL COLOUR (2013)

THE TAPHONOMY OF COLOUR IN FOSSIL INSECTS AND FEATHERS

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ULTRA-PASION (2010)

Ultra-high reslution pulse shaping: from communications to biophotonics applications

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GLUCOMINERALORET (2011)

THE GLUCO- AND MINERALO-CORTICOID PATHWAYS IN RETINA: MOLECULAR CARACTERISATION AND THERAPEUTIC IMPLICATION

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