2012•SOCIOLOGIA E POLITICHE SOCIALIRequires access

Introduzione alla personal network analysis e alle statistiche tie churn attraverso l'uso di E-NET

Daniel S. Halgin, Stephen P. Borgatti

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Abstract

In this article we review foundational aspects of personal network analysis (also called Ego network analysis) and introduce E-NET (Borgatti 2006), a computer program designed specifically for personal network analysis. We present the basic steps for personal network data collection and use E-NET to review key measures of personal network analysis such as size, composition and structure. We close by introducing longitudinal measures of personal network change, including tie churn, brokerage elasticity, and triad change. We argue that these measures can help reveal change patterns consistent with tie formation strategies that would otherwise be missed using more traditional analytic approaches.

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What this paper is about

In this article we review foundational aspects of personal network analysis (also called Ego network analysis) and introduce E-NET (Borgatti 2006), a computer program designed specifically for personal network analysis. We present the basic steps for personal network data collection and use E-NET to review key measures of personal network analysis such as size, composition and structure. We close by introducing longitudinal measures of personal network change, including tie churn, brokerage elasticity, and triad change. We argue that these measures can help reveal change patterns consistent with tie formation strategies that would otherwise be missed using more traditional analytic approaches.

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Available abstract

In this article we review foundational aspects of personal network analysis (also called Ego network analysis) and introduce E-NET (Borgatti 2006), a computer program designed specifically for personal network analysis. We present the basic steps for personal network data collection and use E-NET to review key measures of personal network analysis such as size, composition and structure. We close by introducing longitudinal measures of personal network change, including tie churn, brokerage elasticity, and triad change. We argue that these measures can help reveal change patterns consistent with tie formation strategies that would otherwise be missed using more traditional analytic approaches.

Key concepts: Personal network, Network analysis, Computer science, Net (polyhedron), Triad (sociology), Social network analysis, Data science, Network structure

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