Adjacency matrix import
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[http://en.wikipedia.org/wiki/Adjacency_matrix Adjacency matrix] is used to represents edges between nodes in graphs. As you may know, a topic map is also a graph where edges are called associations and nodes topics. Wandora's adjacency matrix import feature takes a matrix, interprets it, and creates topics and associations according to the matrix. | [http://en.wikipedia.org/wiki/Adjacency_matrix Adjacency matrix] is used to represents edges between nodes in graphs. As you may know, a topic map is also a graph where edges are called associations and nodes topics. Wandora's adjacency matrix import feature takes a matrix, interprets it, and creates topics and associations according to the matrix. | ||
− | Adjacency matrix contains 0 (zeros) and non-zeros. Whenever a matrix cell is non-zero, an association is created between row-topic and column-topic. For example is matrix cell in second column and third row contains value 1, then an association is created between topic '''2''' and topic '''3'''. Numbers 2 and 3 represent here topic identities. | + | Adjacency matrix contains 0 (zeros) and non-zeros. Whenever a matrix cell is non-zero, an association is created between row-topic and column-topic. For example is matrix cell in second column and third row contains value 1, then an association is created between topic '''2''' and topic '''3'''. Numbers 2 and 3 represent here topic identities. Association type is generic one and you can change it in Wandora to reflect your semantic view. Also roles are generic ones you might want to change after adjacency matrix import. |
Revision as of 20:12, 3 January 2010
Adjacency matrix is used to represents edges between nodes in graphs. As you may know, a topic map is also a graph where edges are called associations and nodes topics. Wandora's adjacency matrix import feature takes a matrix, interprets it, and creates topics and associations according to the matrix.
Adjacency matrix contains 0 (zeros) and non-zeros. Whenever a matrix cell is non-zero, an association is created between row-topic and column-topic. For example is matrix cell in second column and third row contains value 1, then an association is created between topic 2 and topic 3. Numbers 2 and 3 represent here topic identities. Association type is generic one and you can change it in Wandora to reflect your semantic view. Also roles are generic ones you might want to change after adjacency matrix import.