## FANDOM

33.175 Seiten

Investigative Data Mining: Mathematical Models for Analyzing, Visualizing and Destabilizing Terrorist Networks

von Nasrullah Memon

vorherige Seite | zur Übersichtsseite | folgende Seite
Statistik und Sichtungsnachweis dieser Seite findet sich am Artikelende
 Zuletzt bearbeitet: 2012-04-26 19:43:05 WiseWoman Borgatti 2002, Fragment, Gesichtet, Nm, SMWFragment, Schutzlevel sysop, Verschleierung

 Typus Verschleierung Bearbeiter Hindemith Gesichtet
Untersuchte Arbeit:
Seite: 96, Zeilen: 2-20
Quelle: Borgatti_2002
Seite(n): 2, Zeilen: 1ff
When looking at visualizations of graphs such as Figure 3.1, it is important to realize that the only information contained in a diagram is adjacency; the position of nodes in a plane (and therefore the length of lines) is arbitrary unless otherwise specified. Hence it is usually dangerous to draw conclusions based on the spatial position of the nodes. For example, it is tempting to conclude that nodes in the middle of a diagram are more important than nodes on the peripheries, but this will often – if not usually – be a mistake.

When using graphs to represent terrorist networks, we typically use each line to represent instances of the same social relation, so that if (a, b) indicates a friendship between a person located at node a, and a person located at node b, then (d, e) indicates a friendship between d and e. Thus, each distinct social relation that is empirically measured on the same group of people is represented by separate graphs, which are likely to have different structures (after all, who talks to whom, is not the same as who dislikes whom).

The natural graphical representation of an adjacency matrix is a [table, such as shown in Figure 3. 2.]

When looking at visualizations of graphs such as Figure 1, it is important to realize that the only information contained in the diagram is adjacency; the position of nodes in the plane (and therefore the length of lines) is arbitrary unless otherwise specified. Hence it is usually dangerous to draw conclusions based on the spatial position of the nodes. For example, it is tempting to conclude that nodes in the middle of a diagram are more important than nodes on the peripheries, but this will often – if not usually – be a mistake.

When used to represent social networks, we typically use each line to represent instances of the same social relation, so that if (a, b) indicates a friendship between the person located at node a and the person located at node b, then (d, e) indicates a friendship between d and e. Thus, each distinct social relation that is empirically measured on the same group of people is represented by separate graphs, which are likely to have different structures (after all, who talks to whom is not the same as who dislikes whom).

[...] The natural graphical representation of an adjacency matrix is a table, such as shown in Figure 2.

 Anmerkungen The source is not given. Note the slight adaptation to make the text fit the terrorist topic of the thesis. Sichter (Hindemith), WiseWoman

vorherige Seite | zur Übersichtsseite | folgende Seite
Letzte Bearbeitung dieser Seite: durch Benutzer:WiseWoman, Zeitstempel: 20120426194347