Francis Heylighen. Collective intelligence and its implementation on the web: Algorithms to develop a collective mental map. Computational & Mathematical Organization Theory, 5(3):253--280, 1999. Home/Search Document Details and Download
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Experimenting with Gnutella Communities - Vaucher, Babin, Kropf, Jouve (2002) (1 citation) (Correct)
.... individuals, such as ants or bees, but also humans has been widely studied in the social sciences [4] Key findings include that despite the largely varying (intellectual) capacities of individuals and groups, a set of common characteristics for acting in a shared environment still may be observed [9]. However, this usually depends on the specific knowledge of the individuals and their time already spent within a community. Among the characteristics identified, we find that, each individual can identify a few members of a community and may exchange information with them; there is no ....
....that can be characterized as communities. Many approaches to define communities on the Web [6, 8, 10] are based on the use of existing link patterns and they therefore lack the characteristic community properties to adapt to the current context and to dynamically evolve. Implicit information [9, 13] other than link patterns are necessary to achieve this. A number of applications have been developed which include in one way or another the idea of communities on the Internet. Among those are Yenta [7] an agent based system to find people with similar interests and to make them known to each ....
Francis Heylighen. Collective intelligence and its implementation on the web: Algorithms to develop a collective mental map. Computational & Mathematical Organization Theory, 5(3):253--280, 1999.
Experimenting with Gnutella Communities - Vaucher, Kropf, Babin, Jouve (2002) (1 citation) (Correct)
.... individuals, such as ants or bees, but also humans has been widely studied in the social sciences [4] Key findings include that despite the largely varying (intellectual) capacities of individuals and groups, a set of common characteristics for acting in a shared environment still may be observed [9]. However, this usually depends on the specific knowledge of the individuals and their time already spent within a community. Among the characteristics identified, we find that, each individual can identify a few members of a community and may exchange information with them; there exists ....
....that can be characterized as communities. Many approaches to define communities on the Web [6, 8, 10] are based on the use of existing link patterns and they therefore lack the characteristic community properties to adapt to the current context and to dynamically evolve. Implicit information [9, 13] other than link patterns are necessary to achieve this. A number of applications have been developed which include in one way or another the idea of communities on the Internet. Among those are Yenta [7] an agent based system to find people with similar interests and to make them known to each ....
Francis Heylighen. Collective intelligence and its implementation on the web: Algorithms to develop a collective mental map. Computational & Mathematical Organization Theory, 5(3):253--280, 1999.
Biologically Motivated Distributed Design for Adaptive.. - Rocha, Bollen (2000) (1 citation) (Correct)
....independent, information resources, solely by virtue of its temporary construction of categories. This open ended semiosis of TalkMine is discussed in [Rocha, 2000b] There are obvious parallels between the user driven evolution of knowledge systems achieved by TalkMine and social insect models [Heylighen , 1999]. In a sense, the knowledge categories that users create function as insect trails, the more similar categories are created the more users will be attracted to them because of reinforced proximity values among their constituent keywords. In the IR world, we refer to this organization design as ....
Heylighen, Francis [1999]."Collective Intelligence and its Implementation on the Web: Algorithms to Develop a Collective Mental Map." Computational & Mathematical Organization Theory. Vol. 5, no. 3, pp. 253-280.
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