measures_in_social_network_analysis
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| ====== Measures in social network analysis ====== | ====== Measures in social network analysis ====== | ||
| * Betweenness | * Betweenness | ||
| - | * The extent to which a node lies between other nodes in the network. This measure takes into account the connectivity of the node's neighbors, giving a higher value for nodes which bridge clusters. The measure reflects the number of people who a person is connecting indirectly through their direct links.[19] | + | * The extent to which a node lies between other nodes in the network. This measure takes into account the connectivity of the node's neighbors, giving a higher value for nodes which bridge clusters. The measure reflects the number of people who a person is connecting indirectly through their direct links. |
| * Bridge | * Bridge | ||
| * An edge is said to be a bridge if deleting it would cause its endpoints to lie in different components of a graph. | * An edge is said to be a bridge if deleting it would cause its endpoints to lie in different components of a graph. | ||
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| * A measure of the likelihood that two associates of a node are associates themselves. A higher clustering coefficient indicates a greater ' | * A measure of the likelihood that two associates of a node are associates themselves. A higher clustering coefficient indicates a greater ' | ||
| * Cohesion | * Cohesion | ||
| - | * The degree to which actors are connected directly to each other by cohesive bonds. Groups are identified as ‘cliques’ if every individual is directly tied to every other individual, ‘social circles’ if there is less stringency of direct contact, which is imprecise, or as structurally cohesive blocks if precision is wanted.[20] | + | * The degree to which actors are connected directly to each other by cohesive bonds. Groups are identified as ‘cliques’ if every individual is directly tied to every other individual, ‘social circles’ if there is less stringency of direct contact, which is imprecise, or as structurally cohesive blocks if precision is wanted. |
| * Degree | * Degree | ||
| * The count of the number of ties to other actors in the network. See also degree (graph theory). | * The count of the number of ties to other actors in the network. See also degree (graph theory). | ||
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| * The degree any member of a network can reach other members of the network. | * The degree any member of a network can reach other members of the network. | ||
| * Structural cohesion | * Structural cohesion | ||
| - | * The minimum number of members who, if removed from a group, would disconnect the group.[21] | + | * The minimum number of members who, if removed from a group, would disconnect the group. |
| * Structural equivalence | * Structural equivalence | ||
| * Refers to the extent to which nodes have a common set of linkages to other nodes in the system. The nodes don’t need to have any ties to each other to be structurally equivalent. | * Refers to the extent to which nodes have a common set of linkages to other nodes in the system. The nodes don’t need to have any ties to each other to be structurally equivalent. | ||
measures_in_social_network_analysis.1573541514.txt.gz · Last modified: 2019/11/12 15:51 by hkimscil