The NEGOPY network analysis program

Richards, William D.; Rice, Ronald E.

doi:10.1016/0378-8733(81)90017-4

Cited by 87 publications

(53 citation statements)

References 6 publications

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“…The important components treated by network analysis are group members that comprise a group. A group is a set of at least three members that satisfy the following qualifications (Richards, 1995): A group member is one that has more than 50% of its links with other members in the same group. It must have at least two links with other members.…”

Section: Structure Of Networkmentioning

confidence: 99%

“…Once groups and their members are detected, the following indicators are used to examine the overall characteristics of the network and the links (or relations) among groups' members (Richards, 1995). Connectedness is simply defined as a node's number of links.…”

Section: Structure Of Networkmentioning

confidence: 99%

“…To perform these analyses, NE-GOPY was used in this research. NEGOPY (Richards, 1995), a computer program, was developed to analyze communication networks.…”

Section: Structure Of Networkmentioning

confidence: 99%

“…The group density is 0.091, with the maximum possible 10 For a complete description of the algorithm used for computing each index, see Richards (1995). In fact, NEGOPY is able to find a more complex communication role indicators: a direct liaison is a Web site that has more than 50% of its linkage with members of groups in general, but with members of more than one group.…”

mentioning

confidence: 99%

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Hyperlink–affiliation network structure of top web sites: Examining affiliates with hyperlink in Korea

Park

Inyong

2002

J. Am. Soc. Inf. Sci.

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Section: Structure Of Networkmentioning

confidence: 99%

Section: Structure Of Networkmentioning

confidence: 99%

“…To perform these analyses, NE-GOPY was used in this research. NEGOPY (Richards, 1995), a computer program, was developed to analyze communication networks.…”

Section: Structure Of Networkmentioning

confidence: 99%

mentioning

confidence: 99%

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Hyperlink–affiliation network structure of top web sites: Examining affiliates with hyperlink in Korea

Park

Inyong

2002

J. Am. Soc. Inf. Sci.

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“…Thus, as third quality measure, behavior distribution in friendship-patterns was implemented. Hereby we define friendship patterns in the network using a modified version of NEGOPY [20]. According to NEGOPY, we define vertex types as isolate, dyad, liaison, and group member.…”

Section: Quality Measurementmentioning

confidence: 99%

Modeling Contagion of Behavior in Friendship Networks as Coordination Games

Jordan

Wilde

Neto

2017

Advances in Intelligent Systems and Computing

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Abstract. It has been shown that humans are heavily influenced by peers when it comes to choice of behavior, norms or opinions. In order to better understand and help to predict society's behavior, it is therefore desirable to design social simulations that incorporate representations of those network aspects. We address this topic, by investigating the performance of a coordination game mechanism in representing the diffusion of behavior for distinct data sets and diverse behaviors in children and adolescent social networks. We introduce a set of quality measurements in order to assess the adequacy of our simulations and find evidence that a coordination game environment could underlie some of the diffusion processes, while other processes may not be modeled coherently as a coordination game.

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