Social Network Analysis for Analyzing Groups as Complex Systems

ABSTRACT

The introduction and application of social network analysis, a method seen as superior to experimental or single-system research design for showing group change, examined group dynamics and change over time using a hypothetical example of an Internet group for gays and lesbians. Rather than utilizing traditional definitions of independent and dependent variables, the analysis utilized hypothetical data with nodes or individuals, ties, and the relationships they formed. The recently developed computer program NodeXL provided diagrams and statistics that demonstrated node and tie variation and individual and group development over time. Discussion demonstrated the utility of such diagrams for research and practice.     

Community Organization and Administration

The author argues that when minority content has been included in the social work curriculum, the affective domain of cross-cultural study has been bypassed in favor of cognitive mastery. This article presents a conceptual system for evaluating students' progress in the affective area as a way of preparing them for the demands of cross-cultural practice and as a step toward creating a confluence between content and process.     

Laplace’s approximation for relative risk frailty models

Relative risk frailty models are used extensively in analyzing clustered and/or recurrent time-to-event data. In this paper, Laplace’s approximation for integrals is applied to marginal distributions of data arising from parametric relative risk frailty models. Under regularity conditions, the approximate maximum likelihood estimators (MLE) are consistent with a rate of convergence that depends on both the number of subjects and number of members per subject. We compare the approximate MLE against alternative estimators using limited simulation and demonstrate the utility of Laplace’s approximation approach by analyzing U.S. patient waiting time to deceased kidney transplant data.     

On the Use of Hierarchical Probabilistic Models for Characterizing and Managing Uncertainty in Risk/Safety Assessment

A general probabilistically-based approach is proposed for both cancer and noncancer risk/safety assessments. The familiar framework of the original ADI/RfD formulation is used, substituting in the numerator a benchmark dose derived from a hierarchical pharmacokinetic/pharmacodynamic model and in the denominator a unitary uncertainty factor derived from a hierarchical animal/average human/sensitive human model. The empirical probability distributions of the numerator and denominator can be combined to produce an empirical human-equivalent distribution for an animal-derived benchmark dose in external-exposure units.     

Rank-based test procedures for interaction in the two-way layout with one observation per cell

New aligned-rank test procedures for the composite null hypothesis of no interaction effects (without placing restrictions on the two main effects) against appropriate composite general alternatives are developed for the standard two-way layout with a single observation per cell. Relative power performances of the two new aligned-rank procedures and existing tests due to Tukey (1949) and to de Kroon & van der Laan (1981) are examined via Monte Carlo simulation. Extensive power studies conducted on the 5 × 6 and 5 × 9 two-way layouts with one observation per cell show superior performance of the new procedures for a variety of interaction effects. Simulated critical values for the new procedures are provided in settings where the number of levels for each of the factors is between 3 and 9, inclusive.     

Policing The Lost: The Emergence of Missing Persons and the Classification of Deviant Absence

In the mid-19 ^th century, increases in global migration and mobility produced a discernable rise in the number of ambiguous absences. This shift, combined with a novel expectation, linked to improved communications technology, that such absences might be resolved engendered the emergence of missing persons as a social category. A demand on the part of families of the missing that the state aid in their location would produce a Bourdieusian classification struggle over how to define and categorize this new mass of absences. At issue would be whether an ambiguously absent individual was merely absent, as a routine component of social life, or whether the individual merited legitimation by the state as a new form of deviant: a "missing" person. Scholars have described the emerging administrative state’s enhanced powers of surveillance and classification and its persistent inclination to render their populations, in James Scott’s phrase, “legible.” Brought to the attention of the state, missing persons represented a body of people who had conspicuously fallen out of official sight. Yet, instead of attempting to fix this omission by gathering additional information on the lost — to, in effect, see the missing — as theories of the state would lead us to expect, the state chose to look away. In the United States, the state, in the form of municipal police departments, resisted classifying absences as cases of missingness and pushed back against families’ requests for aid. Leveraging the inherently ambiguous characteristics of the missing, the state promoted a definition of missing persons that conveniently freed it from the burden of managing an unmanageable population. In this article, drawing from archival data, I challenge prevailing theories of the modern state that emphasize its avidly classificatory nature by offering a case in which legibility was strategically withheld and a population was, in service of state interests, intentionally obscured. Only after the state lost its symbolic monopoly and the category was raced and gendered, becoming, in public discourse, associated with a socially valuable demographic – namely, young, white women – would the state, facing a threat to its legitimacy, deem the missing as worthy of being seen.