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CONNECTIONS - INSNA

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<strong>CONNECTIONS</strong><br />

Multiplicity and Redundancy<br />

Beginning with the set of visualizations in<br />

Figure 3, the analyses use the network of<br />

corporate ties as a point of departure. Note that<br />

the widths of the arcs vary to represent the<br />

strength of the particular tie and the colors of the<br />

vertices are coded to represent their highest level<br />

of multiplicity. For example, in the network of<br />

corporate ties alone, we see two pairs of<br />

directors that are red indicating that each has at<br />

least one tie that is of strength 3 – meaning that<br />

there are three corporate ties linking these two<br />

directors. Further, the tie between the two red<br />

vertices is clearly thicker than the other edges in<br />

the network which have strengths of 1 or 2.<br />

Finally, all of the other vertices in the network<br />

are green indicating that they have at least one<br />

tie with a strength value of 2.<br />

In the subsequent networks in Figure 3, ties from<br />

each set of noncorporate organization are<br />

superimposed on the network of corporate ties.<br />

This is accomplished by treating corporate ties<br />

as arcs in one direction while the ties from say<br />

museums are graphed as arcs in the opposite<br />

direction. Looking at the network of corporate<br />

ties with museum ties added, we see first, that<br />

there are relatively few ties added. Furthermore,<br />

if we examine the yellow orange ties that are<br />

added from shared affiliations with museums,<br />

the majority of the arcs are bi-directed indicating<br />

that they simply reinforce an existing corporate<br />

tie. In contrast, note the third graph in which the<br />

red ties in the lower right corner of the graph are<br />

clearly new ties formed through university board<br />

affiliations (although the tie between Rockefeller<br />

and Livingston is slightly obscured by other<br />

corporate ties). Finally, the fourth graph with<br />

cyan ties dramatically underscores the number<br />

of ties between these 20 directors that are<br />

formed through shared club memberships.<br />

While the different configuration of each<br />

individual set of ties is certainly noteworthy, the<br />

sociographs in Figure 3 do not allow us to<br />

display the simultaneous set of ties from all<br />

organizations. To pull all of this information<br />

together and to capture multiple types of ties<br />

between a given pair of directors, it is necessary<br />

to aggregate the ties so as to preserve the types<br />

and strengths of all of the ties. To accomplish<br />

this condensing/preservation of information, we<br />

have assigned two values to each tie between<br />

directors – a strength code and a type code.<br />

Consider the following sample of seven ties<br />

between John Barr and three other directors<br />

(Table 4).<br />

Table 4. Individual Ties with John A. Barr (01)<br />

Tie ID Director (vertex #) Strength Type Code Type of Tie<br />

1.02 Block, Joseph L. (02) 1 100000 Corporation<br />

1.02 Block, Joseph L. (02) 1 1 Club<br />

2 100001 Aggregated Sum<br />

1.16 Oates, James F. Jr. (16) 1 100 University<br />

1.16 Oates, James F. Jr. (16) 2 1 Club<br />

3 101 Aggregated Sum<br />

1.08 Gale, Willis (08) 1 100000 Corporation<br />

1.08 Gale, Willis (08) 1 100 University<br />

1.08 Gale, Willis (08) 1 1 Club<br />

3 100101 Aggregated Sum<br />

14

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