@inproceedings{caminiti2013xtribe,
title = {XTribe: a web-based social computation platform},
author = {Caminiti, Saverio and Cicali, Claudio and Gravino, Pietro and Loreto, Vittorio and Servedio, Vito DP and Sirbu, Alina and Tria, Francesca},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6686061
http://arxiv.org/pdf/1401.4578v1.pdf},
year = {2013},
date = {2013-01-01},
booktitle = {Cloud and Green Computing (CGC), 2013 Third International Conference on},
pages = {397--403},
organization = {IEEE},
keywords = {gravino, kreyon, social_computation, XTribe},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{b,
title = {Complex structures and semantics in free word association},
author = {Pietro Gravino and Vito D.P. Servedio and Alain Barrat and Vittorio Loreto},
url = {http://www.worldscinet.com/acs/15/1503n04/S0219525912500543.html
http://www.scopus.com/inward/record.url?eid=2-s2.0-84861899272&partnerID=65&md5=4d6ecfe66508c0a3cf8bba8dae67c997
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000304607400014&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=0c7ff228ccbaaa74236f48834a34396a},
year = {2012},
date = {2012-01-01},
journal = {ADVANCES IN COMPLEX SYSTEM},
volume = {15},
pages = {1250054--1250075},
publisher = {WORLD SCIENTIFIC PUBL CO PTE LTD},
abstract = {We investigate the directed and weighted complex network of free word associations in which players write a word in response to another word given as input. We analyze in details two large datasets resulting from two very different experiments: On the one hand the massive multiplayer web-based Word Association Game known as Human Brain Cloud, and on the other hand the South Florida Free Association Norms experiment. In both cases, the networks of associations exhibit quite robust properties like the small world property, a slight assortativity and a strong asymmetry between in-degree and out-degree distributions. A particularly interesting result concerns the existence of a characteristic scale for the word association process, arguably related to specific conceptual contexts for each word. After mapping, the Human Brain Cloud network onto the WordNet semantics network, we point out the basic cognitive mechanisms underlying word associations when they are represented as paths in an underlying semantic network. We derive in particular an expression describing the growth of the HBC graph and we highlight the existence of a characteristic scale for the word association process.},
keywords = {barrat, complex_networks, gravino, language_dynamics, loreto, semantic_networks, servedio, wordnet, word_association},
pubstate = {published},
tppubtype = {article}
}
We investigate the directed and weighted complex network of free word associations in which players write a word in response to another word given as input. We analyze in details two large datasets resulting from two very different experiments: On the one hand the massive multiplayer web-based Word Association Game known as Human Brain Cloud, and on the other hand the South Florida Free Association Norms experiment. In both cases, the networks of associations exhibit quite robust properties like the small world property, a slight assortativity and a strong asymmetry between in-degree and out-degree distributions. A particularly interesting result concerns the existence of a characteristic scale for the word association process, arguably related to specific conceptual contexts for each word. After mapping, the Human Brain Cloud network onto the WordNet semantics network, we point out the basic cognitive mechanisms underlying word associations when they are represented as paths in an underlying semantic network. We derive in particular an expression describing the growth of the HBC graph and we highlight the existence of a characteristic scale for the word association process.
