Redes Sociais de Informação: uma história e um estudo de caso.

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Quadro 2 – Centralidade de grau da rede Organ OutDegr OD ODN InDegre ID IDN

Rede 15,9% Rede 25,9

Média 5,6 13,7% Média 5,6 13,7

Desv. 2,5 6,2% Desv.pad 4,6 11,2

A34 12 29,3% A1 16 39,0

A33 11 26,8% A36 16 39,0

A13 11 26,8% A4 13 31,7

Fonte: Dados da pesquisa.

Centralidade de proximidade (Closeness) é a distância de um ator em relação a todos os outros na rede, com base na distância geodésica (mais curta). Em grafos direcionados, esta medida subdivide-se em InCloseness, que mede quão próximo o ator está nas relações de entrada (proximidade para ser alcançado), e o OutCloseness, que mede a proximidade para relações de saída (proximidade para alcançar). Quanto mais alta for a medida, mais próximo o ator está dos outros atores e mais central na rede ele estará. Esta medida representa a

independência do ator, por significar a possibilidade de comunicação com os demais, com um

número mínimo de intermediários, levando em conta, os laços diretos e indiretos de cada ator.

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independência para ter prestígio. Os atores A16 e A17 (assinalados com círculo vermelho no grafo 2, são os que, apesar de relativamente periféricos, têm mais facilidade para alcançar os demais, tendo mais independência na possibilidade de serem influentes.

T " I 4 F 0

OutClosene InClosene

Média 9,86 Média 24,76

Desv. pad. 1,25 Desv.pad. 11,41

A16 11,17 A1 38,39

A17 11,17 A36 37,96

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Conjuntos lambda

=1 A1+A34+A36

=1 (A1+A34+A36)+A12

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=1 (((A1+A34+A36)+A12)+A4+A14+A33+A37)+A8+A13+A23

=1 ((((A1+A34+A36)+A12)+A4+A14+A33+A37)+A8+A13+A2

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Trabal Inputs Conselh Orga

Network OutDegree 17,6% 20,9% 6, 4% 15,9

Network InDegree 22,6% 18,4% 28,9% 25,9

Network Betweeness 10,3% 17,5% 2,0% 7, 9%

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