Centrality and the dual projection approach for two-mode social network data.Citation formats

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Centrality and the dual projection approach for two-mode social network data. / Everett, Martin.

In: Methodological Innovations , Vol. 9, 2016.

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@article{2d892bf611fe4588a883481cafb2ecca,
title = "Centrality and the dual projection approach for two-mode social network data.",
abstract = "Research using techniques from social network analysis have expanded dramatically in recent years. The availability of network data and the recognition that social network techniques can provide an additional perspective have contributed to this expansion. Social network data are not always in a standard network form and, in many instances, consists of two distinct groups with ties between groups and no within group ties. For example, people attending events or meetings, authors collaborating on research outputs, or directors on boards of companies. Such data are known as two-mode data. Recently, Everett and Borgatti suggested a general approach for analyzing two-mode data. They suggested forming two one-mode data sets, analyzing these separately, and then recombining the results using the original data. One under-explored area in their work is in how this method can be applied to centrality problems; an issue we seek to begin to address here.",
keywords = "Social networks , Two mode networks , Centrality, Dual Projection",
author = "Martin Everett",
year = "2016",
doi = "10.1177/2059799116630662",
language = "English",
volume = "9",
journal = "Methodological Innovations",
issn = "2059-7991",
publisher = "Sage Publications Ltd.",

}

RIS

TY - JOUR

T1 - Centrality and the dual projection approach for two-mode social network data.

AU - Everett, Martin

PY - 2016

Y1 - 2016

N2 - Research using techniques from social network analysis have expanded dramatically in recent years. The availability of network data and the recognition that social network techniques can provide an additional perspective have contributed to this expansion. Social network data are not always in a standard network form and, in many instances, consists of two distinct groups with ties between groups and no within group ties. For example, people attending events or meetings, authors collaborating on research outputs, or directors on boards of companies. Such data are known as two-mode data. Recently, Everett and Borgatti suggested a general approach for analyzing two-mode data. They suggested forming two one-mode data sets, analyzing these separately, and then recombining the results using the original data. One under-explored area in their work is in how this method can be applied to centrality problems; an issue we seek to begin to address here.

AB - Research using techniques from social network analysis have expanded dramatically in recent years. The availability of network data and the recognition that social network techniques can provide an additional perspective have contributed to this expansion. Social network data are not always in a standard network form and, in many instances, consists of two distinct groups with ties between groups and no within group ties. For example, people attending events or meetings, authors collaborating on research outputs, or directors on boards of companies. Such data are known as two-mode data. Recently, Everett and Borgatti suggested a general approach for analyzing two-mode data. They suggested forming two one-mode data sets, analyzing these separately, and then recombining the results using the original data. One under-explored area in their work is in how this method can be applied to centrality problems; an issue we seek to begin to address here.

KW - Social networks

KW - Two mode networks

KW - Centrality

KW - Dual Projection

U2 - 10.1177/2059799116630662

DO - 10.1177/2059799116630662

M3 - Article

VL - 9

JO - Methodological Innovations

JF - Methodological Innovations

SN - 2059-7991

ER -