von Nasrullah Memon
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 |
|
|
|
| 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. |
No source given |
|
| [2.] Nm/Fragment 087 12 - Diskussion Zuletzt bearbeitet: 2012-05-07 16:20:32 Hindemith | CNS 2002, Fragment, Gesichtet, Nm, SMWFragment, Schutzlevel sysop, Verschleierung |
|
|
|
| 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.
|
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. |
No source given |
|
Letzte Bearbeitung dieser Seite: durch Benutzer:Hindemith, Zeitstempel: 20120507162458