New deal public relations: A glimpse into FDR press secretary Stephen Early's work

Long-time confidant and press secretary to US President Franklin Delano Roosevelt, Stephen Early served throughout FDR's 12-year administration. As such, he was chief White House communicator during the implementation of the president's New Deal policies and throughout World War II. In March 1934, on the first day of his second year as secretary, Early started a diary. He added to it until the end of the decade. This study examines 131 of Early's diary entries over its 6 years to construct a glimpse of his professional and personal life as a high-level government communicator. Compilations of his most common activities are made and compared over time, and a discussion of Early's day-to-day professional work, private time, and contributions within the context of modern public relations practice are included.     

Framing contests in global NGO networks: How controversies enable and challenge collaboration and action

In multistakeholder sustainability initiatives, nongovernmental organizations (NGOs) need not only to negotiate with actors from other sectors, but also with other NGOs. Taking a framing perspective, this study examines how NGOs engage in framing contests because of their collaborative attitude toward the private sector. Through an analysis of Oxfam's participation in the Shrimp Aquaculture Dialogues, the paper examines the interplay between NGOs that propose and oppose certification as a viable strategy for ensuring sustainability in the farmed shrimp sector. The results show that controversies among NGO groups related prognostic framing (i.e., regarding the proposed solution to a problem) are characterized by specific ontological and normative attributes. The paper offers NGOs strategies for dealing with such controversies and shows that, depending on the nature of the controversy, engaging in framing contests might enlarge or constrain the roles that an NGO is able to play in a multistakeholder setting, particularly, when it comes to preserving its independence while securing interdependence with others.     

Interorganizational network portfolios of nonprofit organizations: Implications for collaboration management

Increasingly, nonprofit organizations engage in interorganizational collaboration to address large‐scale social problems. Scholarship typically focuses on the characteristics of both within‐sector and cross‐sector partnerships of two collaborating organizations or all partnering organizations involved in a collaboration, but we know little about the patterns of interorganizational relationships that single nonprofit organizations maintain. This research draws upon surveys from 452 nonprofits and introduces nonprofit network portfolios, which we define as the number, integration, intensity, and duration of relationships that nonprofits purposefully develop with other organizations. Using 12 network measures, Ward cluster analysis revealed three distinct network portfolios: restricted within‐sector (n = 319, 70.58%), which included limited collaboration and prioritized within‐sector partnerships; robust within‐sector (n = 80, 17.70%), which included more nonprofit partnerships than restricted within‐sector portfolios; and cross‐sector (n = 53, 11.72%), which had a rich assemblage of integrative partnerships with nonprofits, businesses, and government agencies. Further, nonprofits that maintained each type of portfolio differed in their revenue and social mission, suggesting these factors are related to the types of collaboration that nonprofits maintain. This study makes contributions to existing research on interorganizational networks and cross‐sector collaboration and suggests practical and policy implications for nonprofit network management.     

Connecting the dots: implementing and evaluating a network intervention to foster scientific collaboration and productivity

This article presents the design and implementation of a network intervention to foster scientific collaboration at a research university, and describes an experimental framework for rigorous evaluation of the intervention’s impact. Based on social network analysis of publication and grant data, an innovative type of research funding program was developed as a form of alteration of the university’s collaboration network. The intervention consisted in identifying research communities in the network and creating a new collaborative relation between pairs of unconnected researchers in selected communities. The new collaboration was created to maximally increase the overall cohesion of the target research community. In order to evaluate the impact of the program, we designed a randomized experiment with treatment and control communities based on the Rubin Causal Model approach. The paper describes the intervention design, reports findings from the program implementation, and discusses the statistical framework for future evaluation of the intervention.     

Revisiting clientelism: A network analysis of problem-solving networks in Argentina

Clientelism is a problem-solving network where brokers solve voter problems by providing material and non-material resources in exchange of political support.     

Multi‐sectoral collaboration for improved nutrition: The problems and prospects of implementation in Ethiopia

Implementing nutrition initiatives through multi‐sectoral collaboration is challenging. This qualitative study explores these challenges in two regions of Ethiopia, through interviews with development staff at lower administrative levels. Respondents identified structural and attitudinal causes of undernutrition. The health sector was perceived to have primary responsibility to address nutrition. The Women's Affairs office had a lesser role than expected. Agricultural officers still saw their primary mandate as increasing cereal production. Cross‐sectoral collaboration was stronger in addressing short‐term food crises rather than chronic undernutrition. There is a need to build a shared understanding of the causes of undernutrition, including the many constraints faced by resource‐poor households, to provide more resources for implementation and to adopt a more gendered focus.     

The shadow of the past: Financial risk taking and negative life events

Based on data from the four 2004–2010 waves of the US Health and Retirement Study (HRS), we show that financial risk taking is significantly related to life-history negative events out of an individual’s control. Using observed portfolio decisions to proxy for risk taking, we find correlation with two of such individual-specific events: having been victim of a physical attack and (especially) the loss of a child are associated with lower and less frequent investments in risky assets, with an intensity similar to that of the beginning, in 2008, of a collectively experienced event such as the recent financial crisis. We also find evidence that the correlation of risk taking with a child loss is long-lasting, as opposed to the correlation with a physical attack that disappears after few years. Our analysis is more in favor of a preference-based – rather than a belief-based – explanation of the observed change in risk taking. Overall our findings indicate that the past, especially through the loss of a child, casts a long shadow that extends over individuals’ current decisions also within unrelated domains.     

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.     

The Swiss StudentLife Study: Investigating the emergence of an undergraduate community through dynamic,multidimensional social network data

The Swiss StudentLife Study (SSL Study) is a longitudinal social network data collection conducted in three undergraduate student cohorts (N₁ = 226, N₂ = 261, N₃ = 660) in 2016−2019. The main goal of the study was to understand the emergence of informal student communities and their effects on different individual outcomes, such as well-being, motivation, and academic success. To this end, multiple dimensions of social ties were assessed, combining computer-based surveys, social sensors, social media data, and field experiments. The dynamics of these social networks were measured on various time scales. In this paper, we present the design and data collection strategy of the SSL Study. We discuss practical challenges and solutions related to the data collection in four areas that were key to the success of our project: study design, research ethics, communication, and population definition.     

The structure of educational research: The role of multivocality in promoting cohesion in an article interlock network

Researchers interested in the social and intellectual features of scholarly knowledge have emphasized the importance of small-scale, informally organized groups of people interested in the same or closely related research problems. The structure of these social networks, in large part, influences the way which research problems are identified, studied and transformed into policy. Building on popular concerns about the state of the educational research field, this study examines what its structure implies about the field's ability to integrate ideas and practices. Using data about which articles readers access from the online database of the Teachers College Record, one of the field's more popular journals, it is shown that the article interlock network exhibits a structure that fits parameters of both small-world and structurally cohesive models. Furthermore, this study unpacks the network's community structure to show that those articles that serve as the core through which much of the network is connected possess a multivocal identity; an ambiguous identity that appeals to multiple audiences simultaneously. Results are suggestive of mechanisms that could be used to promote greater cohesion across the network's distinct communities.     

To make and keep friends: The role of health status in adolescent network tie formation and persistence

Health status may shape network structure through network dynamics (tie formation and persistence) and direction (sent and received ties), net of typical network processes. We apply Separable Temporal Exponential Random Graph Models (STERGMs) to National Longitudinal Study of Adolescent to Adult Health survey data (n = 1779) to differentiate how health status shapes network sent and received tie formation and persistence. Results indicate that networks are shaped by withdrawal of adolescents experiencing poor health, highlighting the importance of separating distinct and directed processes of friendship formation and persistence when considering how health relates to adolescent social life.     

The development of stratification and segregation in a new scientific field: A study of collaboration among scientists in neuroblastoma research between 1975 and 2016

Using a new data set on scientific collaboration in neuroblastoma research over a period of 41 years, we study how the structure of collaboration ties in an evolving scientific field changes over time. Guided by concepts from the sociology of knowledge and status theories, we highlight the importance of a field’s size and age for processes of stratification and segregation within it. Our findings suggest that stratification becomes stronger and diversifies as the field of neuroblastoma research expands. Moreover, we find that the occurrence of collaboration between researchers with a similar status becomes more likely as the field matures. While previous work has primarily examined established fields, our study focuses on how scientific fields change their structure over time. More broadly, our article demonstrates the potential analytical merits of adopting a dynamic and relational perspective on the developmental trajectories of organizational and cultural fields.     

The dual network structure of organizational problem solving: A case study on open source software development

We reconstruct the dual network structure generated by the association between 72 contributors and 737 software bugs engaged during a full development cycle of the free/open source software project Epiphany. Estimates of structural parameters of Exponential Random Graph Models for two-mode networks reveal the structural logics shaping activities of collaborative problem solving. After controlling for contributor-specific and software bug-specific characteristics, we find that contributors (“problem solvers”) tend to distribute their activity over multiple software bugs. At the same time, however, we find that software bugs (“problems”) tend not to share multiple contributors. This dual tendency toward de-specialization and exclusivity is sustained by specific local network dependencies revealed by our analysis which also suggests possible organizational mechanisms that may be underlying the puzzling macro-structural regularities frequently observed, but rarely explained, in the production of open source software. By combining these mechanisms with the influence of contributors characterized by different levels of involvement in the project, we provide micro-level evidence of structural interdependence between “core” and “peripheral” members identified exclusively on the basis of their individual level of contribution to the project.     

The analysis of multiple ties in longitudinal egocentric network data: A case study on bidirectional relationships between trust and drug use

We extend multi-level models to examine single egocentric network ties to the joint analysis of paired dynamic ties. Two analytic challenges are addressed. First, inference needs to account for multiple layers of nesting: ties are nested within pairs, pairs are nested within time points, and time points are nested within egos. Second, the focus is on the relationship between two dynamic ties; specification of outcome and predictor may be difficult. Instead, we treat both ties as outcomes. Our approach is used to analyze trust and reported drug use between egos and alters over time in a Bayesian framework.     

The school class as a social network and contextual effects on childhood and adult health: Findings from the Aberdeen Children of the 1950s cohort study

Little is known about the health consequences of the school class as a social network. The present study asked whether overall school-class structure has contextual effects on psychiatric problems in childhood and adult self-rated health. From longitudinal data on a Scottish cohort, measures of school-class structure (centralisation, degree of reciprocity and proportion of isolates) were constructed based on sociometric information. Multilevel analysis demonstrated significant effects of centralisation on both health outcomes. It is suggested that highly centralised classes are characterised by inequality, resulting in a low level of integration, with subsequent negative consequences for health.