The NEGOPY network analysis program

A method and its associated computer program for (specifically communication) network analysis are described. The program described here, NEGOPY, is relational, or linkage-based. The conceptual orientation, computational algorithm, operating characteristics, format and availability of NEGOPY are described. Finally, a partial bibliography of works describing other aspects of NEGOPY and research studies using NEGOPY is included.     

Incorporating structural stigma into network analysis

A rich literature has explored the modeling of homophily and other forms of nonuniform mixing associated with individual-level covariates within the exponential family random graph (ERGM) framework. Such differential mixing does not fully explain phenomena such as stigma, however, which involve the active maintenance of social boundaries by ostracism of persons with out-group ties. Here, we introduce a new family of statistics that allows for such effects to be captured, making it possible to probe for the potential presence of boundary maintenance above and beyond simple differences in nomination rates. We demonstrate these statistics in the context of gender segregation in a school classroom, and introduce a framework for understanding the associated coefficients via network perturbation.     

Collaboration and competition in a children's health initiative coalition: a network analysis

Activating communities to achieve public health change and initiate policy reform usually requires collective action from many entities. This case study analyzes inter-organizational networks among members of a coalition created to expand health insurance coverage to uninsured children in a large metropolitan area. Six networks were measured: collaboration, competition, formal agreements, receive funding from, send funding to, and greater communication. The response rate was 65.8% (50 of the 76 active members). Positive network questions such as “who do you collaborate with” elicited many network choices whereas negative ones such as “who do you compete with” elicited few. The collaboration network had a core–periphery structure and analysis showed that a large network can be reduced to a small set of core organizations one-sixth the size of the whole. Centrality (out- and in-degree) was associated with perceived organizational function and perceived barriers to success. For example, organizations that received many choices as collaboration partners were more likely to perceive the coalition functioned well than those who received few choices. The study suggests that perceptions of organizational performance are associated with position in the network, central members are more likely to perceive the organization performs well than those on the periphery.     

The conduct of program evaluation reviews in the general accounting office

Professional behavior during the General Accounting Office's (GAO's) present era of oversight can best be understood by reviewing the audit types that populate village life in the GAO and the repertoire the office uses in conducting program evaluation audits. Four types of auditors are present, each of which has a role to play in the audit repertoire. This repertoire focuses on finding faults in government programs in order to catch or sustain congressional interest in GAO's work. The “audit trail” of each report may last up to 3 years and involves considerable organizational strife and conflict with outside groups. To sustain themselves through this arduous auditing process, auditors have developed a creed through which they conceptualize themselves as an elite with a mission to insure good government.     

Social network analysis: New ethical approaches through collective reflexivity. Introduction to the special issue of Social Networks

Research in social network analysis (SNA) faces unprecedented ethical challenges today due to both technological developments (‘big’ data) and a growing tendency toward institutionalization of ethics governance. We argue that a suitable response requires a more comprehensive approach to SNA ethics, and we identify two main paths toward this goal. First, we need to recognize the breadth of the subject, no longer limited to anonymity and consent. Second, we need to encourage the active participation and contribution of SNA scholars. We advocate a need for greater reflexivity at both individual and collective levels, whereby researchers can learn from their own and their peers’ experiences, and foster a more ethically ‘virtuous’ approach within the whole SNA community.     

Exploring the Potential of a Collaborative Web-based E-portfolio in Social Work Field Education

ABSTRACT

In most Australian workplaces that provide placement opportunities, social workers are unlikely to receive reductions in their workload for supervising students and completing the administrative requirements of field education subjects. Associated time costs lead to reluctance to supervise social work students. This article investigates the potential for a web-based e-portfolio tool to support and streamline social work field education and assessment processes. Social work students, field educators, and university-appointed liaison staff (N = 110) from a large Australian university completed an online survey administered at the end of placement. The majority of participants reported that the e-portfolio provided a useful framework for recording evidence of student learning; was simple to use; saved time; and had the capacity to enhance the quality and immediacy of communication between parties. We argue that e-portfolios can efficiently capture evidence of student learning and provide a robust mode of supporting social work students on placement.     

Field practice supervision of social work students: a psychodynamic view on the emotional context of the process and the setting during the client assessment phase

This empirical study is a psychodynamic view of the supervision setting and key emotional parameters during the client assessment process. The supervisor, through reflectivity, studied his own supervision practice with undergraduate social work students during their first field practice placement. By using supervision critical incidents, he formulated the basic characteristics of the supervision setting, and followed it up with discussion on the key emotional parameters of the supervision process. Particular emphasis was laid on psychodynamic understanding of the supervision process and the consequences of supervisor's interventions for both supervisees and clients. The emotional context of the supervision process during the client assessment phase was predominantly shaped by four emotional parameters: (i) the supervisor identifying with both client and supervisee needs; (ii) the supervisor concentrating on exclusively the educational character of supervision by avoiding dealing with student's personality issues; (iii) the supervisor dealing with client and supervisee ‘transferences to the setting’; and (iv) the supervisor setting and safeguarding the supervision limits and boundaries.     

The missing link: Social network analysis in migration and transnationalism

The focus on social networks in migration studies marked a significant departure of understanding. Social networks are not only a mechanism through which the migration process is patterned, but they also have broader implications for migrants and non-migrants alike. Despite the fact that the network character of migration processes has long been recognized in migration studies, for a long time, Social Network Analysis has not been applied. Taking this scholarly omission as a starting point, we seek in this special issue to discuss recent research into social networks and migration that use SNA approaches.     

Using logic model and visualization to conduct portfolio evaluation

Portfolio evaluation is the evaluation of multiple projects with a common purpose. While logic models have been used in many ways to support evaluation, and data visualization has been used widely to present and communicate evaluation findings, adopting logic models for portfolio evaluation and using data visualization to share findings simultaneously is surprisingly limited in the literature. With the data from a sample portfolio of 209 projects which aims to improve the system of early care and education (ECE), this study illustrated how to use logic model and data visualization techniques to conduct a portfolio evaluation by answering two evaluation questions: “To what extent are the elements of a logic model (strategies, sub-strategies, activities, outcomes, and impacts) reflected in the sample portfolio?” and “Which dominant paths through the logic model were illuminated by the data visualization technique?” For the first question, the visualization technique illuminated several dominant strategies, sub-strategies, activities, and outcomes. For the second question, our visualization techniques made it convenient to identify critical paths through the logic model. Implications for both program evaluation and program planning were discussed.     

Using social network analysis to complete literature reviews: a new systematic approach for independent researchers to detect and interpret prominent research programs within large collections of relevant literature

ABSTRACT

Literature reviews are required at early stages of a traditional research progression. Many systematic approaches help researchers identify relevant literature. However, there is far less support for interpreting large collections of references. Understanding the evolution of knowledge within a discipline requires an awareness of the collaborative networks from which significant advances originate. Unfortunately, this relational awareness is only acquired after years of professional experience. Therefore, early-career researchers are at a fundamental disadvantage when conducting literature reviews. Social Network Analysis (SNA) can make the interpretation of large collections of literature more manageable. This paper provides a method for generating a co-authorship network from reference lists. The partition of the co-authorship network into communities provides a reviewer with direction to organise literature into meaningful groups. The interpretation of seemingly disparate and entangled research programs is far more manageable when interpreting smaller collections of highly relevant literature.     

Exploring the stability of communication network metrics in a dynamic nursing context

Network stability is of increasing interest to researchers as they try to understand the dynamic processes by which social networks form and evolve. Because hospital patient care units (PCUs) need flexibility to adapt to environmental changes (Vardaman et al., 2012), their networks are unlikely to be uniformly stable and will evolve over time. This study aimed to identify a metric (or set of metrics) sufficiently stable to apply to PCU staff information sharing and advice seeking communication networks over time. Using Coefficient of Variation, we assessed both Across Time Stability (ATS) and Global Stability over four data collection times (Baseline and 1, 4, and 7 months later). When metrics were stable using both methods, we considered them “super stable.” Nine metrics met that criterion (Node Set Size, Average Distance, Clustering Coefficient, Density, Weighted Density, Diffusion, Total Degree Centrality, Betweenness Centrality, and Eigenvector Centrality). Unstable metrics included Hierarchy, Fragmentation, Isolate Count, and Clique Count. We also examined the effect of staff members’ confidence in the information obtained from other staff members. When confidence was high, the “super stable” metrics remained “super stable,” but when low, none of the “super stable” metrics persisted as “super stable.” Our results suggest that nursing units represent what Barker (1968) termed dynamic behavior settings in which, as is typical, multiple nursing staff must constantly adjust to various circumstances, primarily through communication (e.g., discussing patient care or requesting advice on providing patient care), to preserve the functional integrity (i.e., ability to meet patient care goals) of the units, thus producing the observed stability over time of nine network metrics. The observed metric stability provides support for using network analysis to study communication patterns in dynamic behavior settings such as PCUs.     

Early social exposure and later affiliation processes within an evolving social network

BackgroundWhile short-term experiments have found that exposure to social contacts affects likeability, this study investigates its long-term effects on friendships in an emerging network.MethodsOne hundred psychology freshmen indicated whether they attended an introductory event before the start of the academic year to assess early exposure and reported on the friendships they formed with their peers at the beginning, middle, and end of their first semester.ResultsRSiena network models revealed that students taking part in the introductory event were more likely to form friendships throughout the first semester, but less likely to keep them.DiscussionWhile early exposure to people in an emerging network might provide a head start for forming friendships for at least a semester, these friendships appear less stable than those of students who did not have that exposure.     

The coevolution of trade agreements and investment treaties: Some evidence from network analysis

Regional trade agreements (RTAs) and bilateral investment treaties (BITs) are expected to promote trade and investment relationships. One critical feature of such agreements is the network, so the multiplex coevolution of RTAs and BITs should be captured by the dynamics of their two networks. Although many studies have examined the roles of RTAs and BITs, most studies do not account for crucial network properties. This study explores how RTAs and BITs coevolve by applying a stochastic actor-oriented model of multiplex network evolution. In particular, we examine the roles of (i) cross-network dyadic interinfluences and (ii) within- and cross-network preferential attachments to discuss the dynamic relationships between RTAs and BITs. The results are as follows. First, our estimation supports cross-network dyadic interinfluences. Countries that sign a BIT are willing to establish an RTA, while those that sign an RTA are reluctant to establish a BIT. Second, concerning preferential attachments, countries prefer to sign BITs with partners that have more RTA and BIT links. However, countries tend to form RTAs with partners that have more BIT links but are reluctant to form RTAs with those that have more RTA links. We discuss possible justifications for these results, including arguments regarding the benefits and costs associated with the formation of RTAs and BITs.     

Evaluation of a cross-cultural training program for Pakistani educators: Lessons learned and implications for program planning

In this paper, we share the results of a summative evaluation of PEILI, a US-based adult professional development/training program for secondary school Pakistani teachers. The evaluation was guided by the theories of cultural competence (American Psychological Association, 2003, Bamberger, 1999, Wadsworth, 2001) and established frameworks for the evaluation of professional development/training and instructional design (Bennett, 1975, Guskey, 2002, King, 2014, Kirkpatrick, 1967). The explicit and implicit stakeholder assumptions about the connections between program resources, activities, outputs, and outcomes are described. Participant knowledge and skills were measured via scores on a pre/posttest of professional knowledge, and a standards-based performance assessment rubric. In addition to measuring short-term program outcomes, we also sought to incorporate theory-driven thinking into the evaluation design. Hence, we examined participant self-efficacy and access to social capital, two evidenced-based determinants or “levers” that theoretically explain the transformative space between an intervention and its outcomes (Chen, 2012). Data about program determinants were collected and analyzed through a pre/posttest of self-efficacy and social network analysis. Key evaluation findings include participant acquisition of new instructional skills, increased self-efficacy, and the formation of a nascent professional support network. Lessons learned and implications for the design and evaluation of cross-cultural teacher professional development programs are discussed.     

Views of a Structured Assessment Tool for Observing Practice

Assessment of learning in practice through observation is a key part of social work training in the UK. There is no evidence of systematic dissemination or evaluation of observation tools in social work training. The Assessment of Learning in Practice Settings (ALPS-CETL) programme developed observation tools intended to provide comprehensive assessment through the collection of analytic student reflection, alongside commentary from practice assessor, professional colleague and service user. These ALPS tools were further developed to include specific social work assessment criteria. The purpose of this study was to establish student and practice assessor views about how the tools had been used and to understand their effectiveness, or otherwise, in practice. Through analysis of student focus groups, practice assessor interviews and completed ALPS tools, this paper evaluates the use of the social work adapted ALPS tools on an undergraduate social work programme in an English university. The findings of this study support the view that the ALPS tools can be used to promote reflective writing and support students in obtaining formative and summative evidence of their progress. In addition the tools appear to promote a student-led process of observational assessment thereby potentially helping to address the issue of power in the student/assessor relationship.     

Multilevel meta network analysis with application to studying network dynamics of network interventions

In this paper, I introduce new methods for multilevel meta network analysis. The new methods can combine results from multiple network models, assess the effects of predictors at network or higher levels and account for both within- and cross-network correlations of the parameters in the network models. To demonstrate the new methods, I studied network dynamics of a smoking prevention intervention that was implemented in 76 classes of six middle schools in China. The results show that as compared to random intervention (i.e., that targets random students), smokers’ popularity was significantly reduced in the classes with network interventions (i.e., those target central students or students with their friends together). The findings highlight the importance of examining network outcomes in evaluating social and health interventions, the role of social selection in managing social influence, and the potential of using network methods to design more effective interventions.     

Owning (up to) Reflective Writing in Social Work Education

Reflective learning has an established place within social work education but there has been little debate around the nature and purpose of reflective writing as a distinct genre in the context of written academic assessment. Where writing has been discussed in relation to reflection it has been for the purposes of supporting learning rather than academic assessment. This paper draws upon research undertaken with a group of social work students and tutors at The Open University UK together with the work of Watson, both of which identify student difficulties with reflective writing. Research from the field of academic literacies is presented to open up a debate within social work education about the place of reflective writing as a tool for learning and assessment. In doing so, it shares the experiences of one institution, The Open University UK, of working towards greater clarity in the teaching and assessment of reflective practice through writing.     

Tracking public relations scholarship trends: Using semantic network analysis on PR Journals from 1975 to 2011

A semantic network analysis of keywords in titles of studies published in Public Relations Review and the Journal of Public Relations Research was conducted to determine the salient keywords in public relations scholarship from 1975 to 2011. “Communication,” “PR,” “public,” “practitioner,” and “corporation” have been the most prominent keywords, and the association of “PR-practitioner” was the most salient keyword association in public relations scholarship consistently.     

Assessing organizational capacity for diffusion: A school-based social network analysis case study

The purposeful design of social networks is increasingly recognized as a fundamental organizational improvement strategy. In the PK-12 education sector, school-based teacher collaboration is the primary vehicle through which educators are able to gain access to essential social capital, and through which leaders promulgate diffusion of innovation and continuous organizational learning. In partnership with school administrators, the authors undertook an evaluation to examine the size, structure, and composition of school-based networks. Social network analysis (SNA) was used to measure and visualize connections (or lack thereof) of ties between teams and between educators. Isolate and disconnected network actors were revealed through visual inspection of the sociograms. Administrators used findings to reconfigure team membership to enhance teacher ability to give and receive support and collaboratively problem-solve, and to ensure greater capacity for diffusion of instructional innovation and organizational learning. This paper contributes to the field’s understanding of how evaluators and organizational leaders can use SNA to measure, visualize, and more purposefully design effective patterns of connection between people through which professional knowledge, support, and innovation will travel.