Fandom

VroniPlag Wiki

Nm/087

< Nm

31.377Seiten in
diesem Wiki
Seite hinzufügen
Diskussion0 Teilen

Störung durch Adblocker erkannt!


Wikia ist eine gebührenfreie Seite, die sich durch Werbung finanziert. Benutzer, die Adblocker einsetzen, haben eine modifizierte Ansicht der Seite.

Wikia ist nicht verfügbar, wenn du weitere Modifikationen in dem Adblocker-Programm gemacht hast. Wenn du sie entfernst, dann wird die Seite ohne Probleme geladen.

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
[1.] Nm/Fragment 087 01 - Diskussion
Zuletzt bearbeitet: 2012-04-20 22:11:21 WiseWoman
Fragment, Gesichtet, Nm, SMWFragment, Schutzlevel sysop, Verschleierung, Xu etal 2004

Typus
Verschleierung
Bearbeiter
Hindemith
Gesichtet
Yes.png
Untersuchte Arbeit:
Seite: 87, Zeilen: 1-11
Quelle: Xu etal 2004
Seite(n): 7, 8, Zeilen: 7: 20ff; 8: 1ff
[The collective behaviors of all members in a network will determine] how the network evolves from one structure to another in a considered scenario.

There are many examples of employing simulation methods in social network analysis. For instance, Ornstein employs agent-based simulation to identify how social choices of establishing or ceasing a relationship with others affect the overall structure of a network (Hummon, N.P., 2000). The basic assumption is that every relationship has an associated costs and benefits. Individuals aim to maximize their utilities by altering their relationships with others and social network will keep on evolving until joint utility of all members is maximized.

The collective behaviors of all members in a network will determine how the network evolves from one structure to another.

Several SNA studies have employed simulation methods. For example, Ornstein uses agent-based simulation to study how individuals’ social choices of establishing or ceasing a

[P. 8]

relationship with others affect the structure of a network [EN 20]. The basic assumption is that maintaining a relationship has its associated costs and benefits and individuals aim to maximize their utilities by altering their relationships with others. A social network will keep changing until the joint utility of all members is maximized.


[EN 20] Hummon, N.P. (2000). Utility and dynamic social networks. Social Networks, 22, 221-249.

Anmerkungen

No source given

Sichter
(Hindemith), WiseWoman

[2.] Nm/Fragment 087 12 - Diskussion
Zuletzt bearbeitet: 2012-05-07 16:20:32 Hindemith
CNS 2002, Fragment, Gesichtet, Nm, SMWFragment, Schutzlevel sysop, Verschleierung

Typus
Verschleierung
Bearbeiter
Hindemith
Gesichtet
Yes.png
Untersuchte Arbeit:
Seite: 87, Zeilen: 12-32
Quelle: CNS_2002
Seite(n): 18, 105, Zeilen: 18:16-17; 105:14ff
Professor Carley and her colleagues are working on a number of projects related to counterterrorism. All their models contain AI, complexity approaches, and are multi-agent.
  • BIOWAR –Carley, K., M.; Douglas B. Fridsma; Alex Yahja (2002) described “BIOWAR”; a simulation system that uses cognitively realistic agents embedded in social, knowledge and work networks. The idea is to describe how people participating in these networks acquire disease, manifest symptoms, seek information and treatment, and recover from illness. The system uses a model of diseases and symptoms to analyse the agents who come in contact with infectious agents through their social and work networks become ill. The illnesses alter their behavior, changing both the propagation of the disease, and the manifestation of the disease on the population. A number of simulations were completed by them that were targeted to examine the effect of contagious and non-contagious illnesses in high-alert (agents have knowledge of a potential disease outbreak) or low alert states. Agents who believe they may be ill and have knowledge of a potential outbreak are more likely to seek care than those who do not.
Professor Carley described six ongoing projects related to counterterrorism being conducted by her research group. All their models contain AI, complexity approaches, and are multi-agent.

[page 105]

We describe a simulation system called BIOWAR which uses cognitively realistic agents embedded in social, knowledge and work networks to describe how people interacting in these networks acquire disease, manifest symptoms, seek information and treatment, and recover from illness. Using a model of diseases and symptoms, agents who come in contact with infectious agents through their social and work networks become ill. These illnesses alter their behavior, changing both the propagation of the disease, and the manifestation of the disease on the population.

Presently, we have completed a number of simulations which examine the effect of contagious and non-contagious illnesses in high-alert (agents have knowledge of a potential disease outbreak) or low alert states. Agents who believe they may be ill and have knowledge of a potential outbreak are more likely to seek care than those who do not.

Anmerkungen

No source given

Sichter
(Hindemith), Bummelchen


vorherige Seite | zur Übersichtsseite | folgende Seite
Letzte Bearbeitung dieser Seite: durch Benutzer:Hindemith, Zeitstempel: 20120507162458

Auch bei Fandom

Zufälliges Wiki