Multribution
Interaction and collaboration in network researches
Bibliographic Data
| ID | 16882365 |
|---|---|
| Authors | José Rodríguez (0000-0001-9265-3364), José Alberto De Francisco Rodríguez, Nilton Bahlis dos Santos (0000-0002-4705-903X, Health Promotion Services) |
| Year | 2011 |
| Volume | 5 |
| Issue | 1 |
| Publication date | 2011-03-31 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Revista Eletrônica de Comunicação, Informação e Inovação em Saúde (JOURNAL) |
| Journal identifiers | ISSN: 1981-6278 • E-ISSN: 1981-6278 |
| Publisher | Fundacao Oswaldo Cruz (PUBLISHER • BR) |
| DOI | 10.3395/reciis.v5i1.425en |
| OpenAlex | W2330605317 |
| Language | EN |
| References cited | 2 |
We don't know the protocols to cognitively connect people in a network. Networks with people technologically mediated impose limitations and offer opportunities. On this prospective research we evaluate tools and ways of collaborative work and believe that neither the tools nor the correct methods for a very big number of researchers to interact for cognitive collaboration still don't exist. In a number over around 150 researchers, the capacities of intersubjective communication are overcome, but it's possible that we take advantage of the collective knowledge. The interaction in a virtual environment also allows the stigmergic interaction. Both concepts can be implemented with the help of genetic algorithms, that develop rules and capacities on the network and its knots. To this new form of network collaboration, we have given the name multribution
Collaborative network · Knowledge management · Complex Network Analysis Techniques · Computer Science · Evolutionary Game Theory and Cooperation · Opinion Dynamics and Social Influence
| Highly cited | No |
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