The microstructures of network recall: How social networks are encoded and represented in human memory

AbstractA growing number of studies indicate that aspects of psychology and cognition influence network structure, but much remains to be learned about how network information is stored and retrieved from memory. Are networks recalled as dyads, as triads, or more generally as sub-groups? We employ an experimental design coupled with exponential random graph models to address this issue. We find that respondents flexibly encode social information as triads or groups, depending on the network, but not as dyads. This supports prior research showing that networks are stored using “compression heuristics”, but also provides evidence of cognitive flexibility in the process of encoding relational information

Techniques: Dichotomizing a Network

This techniques guide provides a brief answer to the question: How to choose a dichotomization threshold? We propose a two step approach to selecting a dichotomization threshold. We illustrate the approaches using two datasets and provide instructions on how to perform these approaches in R and UCINET

Investigating the temporal dynamics of inter-organizational exchange: patient transfers among Italian hospitals

Previous research on interaction behavior among organizations (resource exchange, collaboration, communication) has typically aggregated records of those behaviors over time to constitute a ‘network’ of organizational relationships. We instead directly study structural-temporal patterns in organizational exchange, focusing on the dynamics of reciprocation. Applying this lens to a community of Italian hospitals during the period 2003-2007, we observe two mechanisms of interorganizational reciprocation: organizational embedding and resource dependence. We flesh out these two mechanisms by showing how they operate in distinct time frames: Dependence operates on contemporaneous exchange structures, whereas embedding develops through longer-term historical patterns. We also show how these processes operate differently in competitive and noncompetitive contexts, operationalized in terms of market differentiation and geographic space. In noncompetitive contexts, we observe both logics of reciprocation, dependence in the short term and embedding over the long term, developing into patterns of generalized exchange in this population. In competitive contexts, we observe neither form of reciprocation and instead observe the microfoundations of status hierarchies in exchange

The Strain of Spanning Structural Holes: How Brokering Leads to Burnout and Abusive Behavior

Connecting otherwise disconnected individuals and groups—spanning structural holes—can earn social network brokers faster promotions, higher remuneration, and enhanced creativity. Organizations also benefit through improved communication and coordination from these connections between knowledge silos. Neglected in prior research, however, has been theory and evidence concerning the psychological costs to individuals of engaging in brokering activities. We build new theory concerning the extent to which keeping people separated (i.e., tertius separans brokering) relative to bringing people together (i.e., tertius iungens brokering) results in burnout and in abusive behavior toward coworkers. Engagement in tertius separans brokering, relative to tertius iungens brokering, we suggest, burdens people with onerous demands while limiting access to resources necessary to recover. Across three studies, we find that tertius separans leads to abusive behavior of others, mediated by an increased experience of burnout on the part of the broker. First, we conducted a five-month field study of burnout and abusive behavior, with brokering assessed via email exchanges among 1,536 university employees in South America. Second, we examined time-separated data on self-reported brokering behaviors, burnout, and coworker abuse among 242 employees of U.S. organizations. Third, we experimentally investigated the effects of the two types of brokering behaviors on burnout and abusive behavior for 273 employed adults. The results across three studies showed that tertius separans brokering puts the broker at an increased risk of burnout and subsequent abusive behavior toward others in the workplace

E-mail communication patterns and job burnout.

A considerable body of research has documented the negative effects of job burnout on employees and their organizations, emphasizing the importance of the identification of early signs of the phenomenon for the purposes of prevention and intervention. However, such timely identification is difficult due to the time and cost of assessing the burnout levels of all employees in an organization using established scales. In this paper, we propose an innovative way to identify employees at risk of job burnout by analyzing their e-mail communication patterns. Building on the Job Demands-Resources model, we theorize about the relationship between e-mail communication patterns and levels of employee exhaustion and disengagement (two dimensions of burnout). We analyzed 52,190 e-mails exchanged between 57 employees of a medium sized R&D company over a five-month period. We then related these employees' communication patterns to their levels of burnout, collected using an established scale (the OLBI-Oldenburg Burnout Inventory). Our results provide support for the overall proposition of the paper, that e-mail communications can be used to identify individuals at risk of job burnout. Our models explain up to 34% of the variance of burnout and up to 37% and 19% respectively of the variance of exhaustion and disengagement. They also successfully distinguish between employees with a higher risk of burnout and those with lower levels of risk (F1 score of 84% with recall of 100% and 73% precision). We discuss the implications of our results and present suggestions for future research

Modeling relational events: a case study on an open source software development project

Key current questions in organizational research refer to understanding the dynamics of social networks. While recent literature has provided important insights into these issues, there is a general recognition that a closer look at the micro-level foundations of ties and networks is required. Fine grained data about temporal sequences of actions between actors, or relational events, are currently widely available. However, for lack of suitable statistical models the potential of sequences of relational events is rarely exploited, as these data are usually aggregated over time as proxies for stable relations between actors. In this paper, we introduce a newly developed relational event model that takes advantage of the information contained in sequences of relational events. We provide an empirical example in the context of open source software development, where relational events are actions taken by contributors to solve software problems. We specify and estimate a model with the aim to address substantive questions regarding the continued engagement of contributors in voluntary projects. Our results provide insights into the social mechanisms underlying contributors’ work on routine and maintenance actions that cannot be considered as sources of status and recognition. We interpret these results in the context of the current debate on the production of open source software and provide guidance on the application of the model

Basic descriptive statistics and Pearson correlation coefficients of variables included in the models (n = 57).

<p>Basic descriptive statistics and Pearson correlation coefficients of variables included in the models (n = 57).</p