Abstract | ||
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Information-driven collective intelligences derive from the connection and the interaction of multiple, distributed, independent
agents that produce and process information, and eventually turn it into knowledge, meant in the broad sense of capability
of conceptual representation. For instance, the World-wide Web can be viewed as an information-driven collective intelligence
emerging from the digital network known as the Internet. The point here is how to extend such a capability for knowledge generation
from the participating agents to the collective intelligence itself.
In this paper we show how this can be obtained with graph-based algorithms for the detection of communities of agents so as
to support a dynamic, self-organized form of concept-discovery and concept-incarnation. In particular, we show how to strengthen
community ties around concepts in order to increase their level of socialization and, consequently, of “fertility” in the
generation of new concepts. Since there exists a direct relationship between concept discovery and innovation in human intelligences,
we point out how analogous innovation capabilities can now be supported within information-driven collective intelligences,
with direct applications to product innovation.
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Year | DOI | Venue |
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2010 | 10.1007/978-3-642-16732-4_38 | international conference on computational collective intelligence |
Keywords | Field | DocType |
collective intelligences,information-driven collective intelligence,social networks,analogous innovation capability,web communities,direct relationship,knowledge generation.,human intelligence,evolu- tion,collective intelligence,world-wide web,product innovation,information-driven collective intelligences derive,direct application,innovation,knowledge generation,evolution,world wide web,social network,self organization | Digital network,Knowledge generation,Social network,Existential quantification,Collective intelligence,Computer science,Knowledge management,Product innovation,Socialization,The Internet | Conference |
Volume | ISSN | ISBN |
6422 | 0302-9743 | 3-642-16731-4 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Francesca Arcelli Fontana | 1 | 505 | 47.66 |
Ferrante Formato | 2 | 98 | 10.99 |
Remo Pareschi | 3 | 601 | 162.52 |