Does Observed Conflict Recovery Play a Role in Adolescent Dating Aggression?

In a study of conflict recovery and adolescent dating aggression, 14- to 18-year-old couples (N = 209 dyads) participated in a 1-hr observational assessment. Negative behavior was observed during conflict-evoking “hot” tasks and in a “cooldown” task. Physical and psychological dating aggression were assessed via questionnaires. Negative behavior measured in the cooldown task was not associated with dating aggression after controlling for carryover effects of negativity from the hot to cooldown tasks. Moreover, cooldown negativity moderated the associations of hot task negativity and dating aggression. Actor and partner effects were disentangled via dyadic data analyses. Given the paucity of observational studies of dating aggression, our findings are an important contribution to the literature and in need of replication and extension.     

Rock on reel: The rise and fall of the rock culture in America reflected in a decade of “rockumentaries”

This article analyzes the filmic representation of the rise and demise of the American rock/youth culture of the 1960s through several popular “rockumentaries.” This article explores the ways in which popular film and music both reflect and define political and cultural movements in advanced industrial societies by comparing and contrasting the plots and narrative techniques of films such asMonterey Pop (1968),Woodstock (1970),Gimme Shelter (1971) andThe Last Waltz (1978). We all remember that time. It was so different for me than for others. Yet we all do tell each other over and over again the peculiarity of the events we shared, and the repetition, the listening, is as if we are saying, “It was like that for you, too? Then that confirms it, yes, it was so, it must have been, I wasn't imagining things.” Doris Lessing,The Memoirs of A Survivor (1974)     

Distinguishing among publics,audiences, and stakeholders in the social media era of unanticipated publics

Public relations is failing to distinguish among publics, audiences, and stakeholders in today’s social media era, even though the business and marketing literature has begun discussing “brand publics.” This article clarifies the terms and explains the practical value in the definitions and distinctions. It also introduces a new term, “unanticipated publics” and provides a way to conceptualize those publics’ impact from the social network perspective.     

Strategy-proof rules for two public goods: double median rules

We consider the problem of selecting the locations of two (identical) public goods on an interval. Each agent has preferences over pairs of locations, which are induced from single-peaked rankings over single locations: each agent compares pairs of locations by comparing the location he ranks higher in each pair. We introduce a class of “double median rules” and characterize it by means of continuity, anonymity, strategy-proofness, and users only. To each pair of parameter sets, each set in the pair consisting of $(n+1)$ parameters, is associated a rule in the class. It is the rule that selects, for each preference profile, the medians of the peaks and the parameters belonging to each set in the pair. We identify the subclasses of the double median rules satisfying group strategy-proofness, weak efficiency, and double unanimity (or efficiency), respectively. We also discuss the classes of “multiple median rules” and “non-anonymous double median rules”.     

Using network analysis to conduct a system-wide program evaluation within a university

ObjectiveTo conduct a system-wide assessment using social network analysis (SNA) to examine how 14 important issues (e.g., consent; racism) are addressed through education, training, and programming at a university.MethodsEvaluators conducted interviews with campus departments responsible for educating/training on the 14 issues. Interviews revealed which programs (n = 52) were offered that addressed the 14 issues, and data on audience characteristics, date of delivery, and which issues were covered in each program were collected. SNA was used to calculate degree and create visualization graphs illustrating patterns of content-coverage across all 52 programs.ResultsThe average degree was 19.38 (SD = 9.70), meaning programs overlapped in topic area with nearly 20 other programs, on average. Most programs (n = 36; 69.2 %) were attended by audiences of 500 people or less. “Diversity and inclusion” represented the topic area with the most programs (n = 23), whereas “suicide” and “bullying/hazing” had the least number of programs (n = 3). Degree was negatively correlated with attendance numbers (r=-.310, p < .001), indicating the more a program overlapped in content with other programs, the smaller the audience.ConclusionsThis study supports the use of network analysis in conducting systemic evaluations of programs offered at a university, complementing the work of ongoing, local-level program evaluations.     

Oregon's Efforts to Reduce Elder Financial Exploitation

ABSTRACT

Several programs have been undertaken in Oregon to reduce financial abuse. They include the production of a multi-media training kit by the Oregon's Attorney General's Task Force with funding from the US Department of Justice, creation of an “Elder Financial Exploitation Prevention Program” that educates seniors “at the scene of the crime,” and distribution of devices to assist elders in ending unwamted phone calls and direct mail solicitations.     

Comparison of methods for positional analysis: Structural and general equivalences

This paper explores the conceptualization and measurement of social position in relational data. It is argued that social positions are evidenced in the interactions among individuals, which are encoded in measured social relations. Given a set of measured relations the task is to reveal social positions which consist of groups of individuals wth similar patterns of relations. Methods based on two alternative approaches are discussed. The first set of approaches is based on structural equivalence, and locates groups of similar individuals based on the extent to which they share identical ties with identical others. A second set of approaches, here called general equivalences, locates groups of similar individuals based on their sharing of “types” of ties with “types” of others. Procedures based on these different approaches are described and applied to actual data and to a constructed example. Results suggest that these different approaches identify different kinds of social groups. It is argued that structural equivalence is an unsuitable basis for analysis of relational data if the goal is detection of social positions.     

Partially shared objects and the (Elusive) potential of expansive learning: the case of “jury” in community-based citizenship classes for Nepali-speaking Bhutanese refugee elders

ABSTRACT

This article focuses on community-based citizenship classes for Bhutanese refugee elders held in central Ohio. As part of a larger longitudinal study centered in the ethnographic and discourse analytic traditions, the article analyzes a classroom moment where the notion of a “jury” is briefly taken up and discussed. This moment is put into dialogue with relevant data from student interviews and teacher playback sessions using cultural-historical activity theory as an analytical framework to argue that the understanding of a “jury” is a “partially shared object” that reveals asymmetrical power relations between activity systems, with implications for expansive learning opportunities.     

The Division of Labor in Lesbian,Gay, and Heterosexual New Adoptive Parents

Little research has investigated the division of child care and housework in adoptive or lesbian/gay parent families, yet these contexts “control for” family characteristics such as biological relatedness and parental gender differences known to be linked to family work. This study examined predictors (measured preadoption) of the division of child care and housework (measured postadoption) in lesbian (n = 55), gay (n = 40), and heterosexual (n = 65) newly adoptive couples. Same‐sex couples shared child care and housework more equally than heterosexual couples. For the full sample, inequities in work hours between partners were associated with greater discrepancies in partners' contributions to child care and masculine tasks; inequities in income between partners were related to greater discrepancies in contributions to feminine tasks. Participants who contributed more to child care tended to contribute more to feminine tasks. These findings extend knowledge of how labor arrangements are enacted in diverse groups.     

On the core of characteristic function games associated with exchange networks

An exchange network is a social system in which the actors gain valued resources from bilateral transactions, but an opportunity to negotiate a deal is given only to those pairs of actors whose positions are tied with each other in a fixed communication network. A transaction consists in a mutually agreed-on division of a resource pool assigned to a network line. An additional constraint imposed on such a network restricts the range of transaction sets which may happen in a single negotiation round to those consistent with a given “exchange regime.” Under the one-exchange regime every actor is permitted to make no more than one deal per round. Bienenstock and Bonacich [Bienenstock, E.J., Bonacich, P., 1992. The core as a solution to exclusionary networks. Social Networks 14, 231–243] proposed to represent a one-exchange network with an n-person game in characteristic function form. The aim of this paper is to develop a mathematical theory of games associated with homogenous one-exchange networks (network homogeneity means that all lines are assigned resource pools of the same size). The focus is on the core, the type of solution considered most important in game theory. In particular, all earlier results obtained by Bonacich are re-examined and there is given a new graph-theoretic necessary and sufficient condition for the existence of nonempty core for the game representing a homogenous one-exchange network.     

Ideological Primary Groups in Contemporary Cultural Movements

Abstract

This paper argues that “post-modern” societies generate movements for cultural change in models “of” and “for” identity and consciousness, rather than traditional kinds of social movements aiming at structural changes in institutional arrangements. The distinctive and crucial unit in comtemporary cultural movements is what we have termed the “ideological group.” These groups are similar to the “ideological informal groups” which recruited members of traditional social movements on the basis of personal contacts and confidence, and which rested on shared “inner convictions.” Like other, earlier, ideological groups, they focus on the construction and legitimation of a shared symbolic interpretation, and ideology of a dissatisfying reality as well as their own personal and collective identity in relation to it. However, contemporary movement groups have been influenced considerably by the sensitivity training-encounter-group dynamics techniques associated with the intensive group movement. The result is a new interest in artificial primary relations among sociologically homogeneous peers for joining socio-cultural analyses with psychological interpretations of common personal experiences. The processes generated in these ideological primary groups lead to the collective construction of new or modified ideological interpretations of reality which contain different, more satisfying, models “of” and “for” personal and group identity, and “consciousness.”     

Adolescent Internalizing Symptoms and the “Tightknittedness” of Friendship Groups

Adolescents with depression have lower peer status overall, but tend to befriend each other. We examined the “tightknittedness” of their friendship groups by testing whether adolescent friendship groups’ average levels of or variability in internalizing symptoms predict group cohesiveness. We used four waves (9th–12th grades) of survey and social network data on 3,013 friendship groups from the PROmoting School‐Community‐University Partnerships to Enhance Resilience study. Friendship groups with higher average depressive symptoms were less cohesive; groups with higher average anxiety symptoms had greater reciprocity. Groups with greater variability in depressive symptoms had greater density; variability in anxiety symptoms was not consistently associated with cohesion. The friendship groups of depressed adolescents appear less cohesive than the “typical” adolescent friendship group.     

A new method for finding hierarchical subgroups from networks

We present a new method for decomposing a social network into an optimal number of hierarchical subgroups. With a perfect hierarchical subgroup defined as one in which every member is automorphically equivalent to each other, the method uses the REGGE algorithm to measure the similarities among nodes and applies the k-means method to group the nodes that have congruent profiles of dissimilarities with other nodes into various numbers of hierarchical subgroups. The best number of subgroups is determined by minimizing the intra-cluster variance of dissimilarity subject to the constraint that the improvement in going to more subgroups is better than a network whose n nodes are maximally dispersed in the n-dimensional space would achieve. We also describe a decomposability metric that assesses the deviation of a real network from the ideal one that contains only perfect hierarchical subgroups. Four well known network data sets are used to demonstrate the method and metric. These demonstrations indicate the utility of our approach and suggest how it can be used in a complementary way to Generalized Blockmodeling for hierarchical decomposition.     

Network visualization and problem-solving support: A cognitive fit study

This study examines the relative effectiveness of four different social network representations for improving human problem-solving accuracy and speed: node-link diagrams, adjacency matrices, tables, and text. Results suggest that visual network representations improve problem-solving accuracy and speed, compared with text. Among the visual representations, tables produced superior problem-solving outcomes for symbolic tasks and link-node diagrams produced superior problem-solving outcomes for spatial tasks. These results partially support a cognitive fit model of problem-solving support. There is not “one best way” to represent network data. Instead, it is important to match network representations and problem-solving tasks.     

Putting social preferences to work: Can revealed preferences predict real effort provision?

This paper presents a model of real effort provision in conjunction with rational social preference theory to predict how individuals exert effort to replace an exogenously determined “state of the world” with a preferred social outcome. Binary dictator games and real effort tasks are used to examine whether individuals exert effort in a manner that is consistent with their revealed preferences. The analysis of controlled laboratory experiments suggest that while individuals’ effort provisions are generally consistent with the theory, those who reveal relatively pro-social preferences fail to procure their “preferred” outcomes too frequently when the state of the world is highly inequitable in their favor. Consideration is given to alternative theories, namely ego depletion and cognitive dissonance, as potential explanations of social outcomes. There is evidence to suggest that dictators, on average, experience ego depletion which leads to a reduction in pro-social behavior through time.     

Boolean analysis of questionnaire data

The principle of Boolean analysis is to look for entailments between variables in a questionnaire. If all the respondents answering “yes” to the question X answers “yes” to the question Y, we note the entailment X → Y. Boolean algebra generalizes this approach. A questionnaire of n binary variables generates a set of 2ⁿ possible patterns of response. These patterns generate a Boolean algebra. If only some of the possible patterns are present, the bipartition in this set defines a Boolean equation, the solutions of which are entailments. Usually we use approximations of this structure to analyse a questionnaire. A presentation of the method is given here with application to sociological data.