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

von Nasrullah Memon

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[1.] Nm/Fragment 220 01 - Diskussion
Zuletzt bearbeitet: 2012-05-07 16:20:16 Hindemith
Fragment, Gesichtet, Nm, SMWFragment, Schutzlevel sysop, Stokman 2004, Verschleierung

Typus
Verschleierung
Bearbeiter
Hindemith
Gesichtet
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Untersuchte Arbeit:
Seite: 220, Zeilen: 1-14
Quelle: Stokman_2004
Seite(n): 1, Zeilen: 1-12
[Social network analysis in general studies behaviour of the individuals at the micro level, the pattern of relationships (network] structure) at the macro level, and the interactions between the two.

The analysis of the communication structures that is comprised in SNA study is known as an important element in the analysis of the micro-macro link, the way in which individual behaviour and social phenomena are linked with one another. In this sense, social networks can assist the analysts both the root cause and the result of the behaviour of an individual.

It is fact that social networks study provides and bound chances of individual selections in the mean-time time individuals initiate, build, continue, and break up links and by doing so define the universal structure of a network. However, network structure is seldom constructed by its individuals. It is known as the ‘unintended’ effect of the actions of the individual and can as be called a “spontaneous order”.

Social network analysis [FN 1] studies the behavior of the individual [FN 2] at the micro level, the pattern of relationships (network structure) at the macro level, and the interactions between the two. The analysis of the interaction structures that is involved in social network analysis is an important element in the analysis of the macro-micro-macro link, the way in which individual behavior and collective phenomena are connected with one another. In this perspective, social networks are both the cause of and the result of individual behavior. Social networks provide and limit opportunities of individual choices, whereas at the same time individuals initiate, construct, maintain, and break up relationships and by so doing determine the global structure of the network. However, individuals seldom consciously construct network structures beyond their own relationships. The overall network structures are often the ‘unintended’ effect of individual actions and can as such be called a “spontaneous order” (see e.g. Hayek 1973).
Anmerkungen

No reference given. The content is identical, but formulations have been somewhat adapted.

Sichter
(Hindemith), Bummelchen

[2.] Nm/Fragment 220 14 - Diskussion
Zuletzt bearbeitet: 2012-04-21 16:18:14 Hindemith
Aviv et al 2003, Fragment, Gesichtet, Nm, SMWFragment, Schutzlevel sysop, Verschleierung

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Graf Isolan
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Untersuchte Arbeit:
Seite: 220, Zeilen: 14-29
Quelle: Aviv et al 2003
Seite(n): 4, Zeilen: 15-21
SNA methods provide specific mathematical definitions of five groups of characteristics of the actors/ nodes and of the network itself (Bonacich, P., 1987; Burt, R. S., 1992):

1. cohesion,
2. equivalence (role-groups),
3. power of actors,
4. range of influence, and
5. brokerage

These characteristics are expressed in terms of corresponding network structure parameters derived from the relations among actors. There is vast amount of material is available for the introduction to SNA which can be easily, for example, in (Scott, J., 2000; Hanneman, R. E., 2005; Wasserman, S., Faust, K., 1994). The insights that can be obtained from the various values of the network structures are elaborated in Burt (1990)

SNA methods provide precise mathematical definitions of five groups of characteristics of the actors and of the network itself [EN 18, EN 19]: cohesion, equivalence (role-groups), power of actors, range of influence, and brokerage. These characteristics are expressed in terms of corresponding Network-Structure parameters derived from the relations among the actors. An introduction to SNA can be found in Scott [20] and Hanneman [21]. For a comprehensive text, see Wasserman and Faust [22]. Burt [13] elaborates on the insights that can be obtained from the various values of the network structures.

[EN 18] Bonacich, P., Power and Centrality. American Journal of Sociology 92: 1170-1182 (1987).

[EN 19] 'Burt, R. S., Structural Holes, Cambridge, MA: Harvard University Press, 1992.

Anmerkungen

Looks like a bonafide overview on the subject done by Nm, but in fact Nm only copies what already could be found in Aviv (2003). No reference to Aviv given.

Sichter
(Graf Isolan), Hindemith


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