Modeling Relational Events: A Case Study on an Open Source Software Development Project

Quintane, Eric; Tonellato, Marco; Conaldi, Guido; Lomi, Alessandro

doi:10.5465/ambpp.2012.11233abstract

Cited by 23 publications

(40 citation statements)

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“…Some recent studies have incorporated events into the study of team dynamics. These include studying emailing patterns in work teams (Zenk, Stadtfeld, & Windhager, ), contributions to open source software (Quintane et al, ), and brokerage strategies (Quintane & Carnabuci, ; Spiro, Acton, & Butts, ). What distinguishes our approach is an emphasis on connecting event sequences to emergent properties of the team, whereas the previously mentioned studies identify aspects of a process that are predictive of future components of the process.…”

Section: Discussionmentioning

confidence: 99%

“…This set may be all the dyads (i.e., all pairs of nodes in the network), or some subset. For example, Quintane, Conaldi, Tonellato, and Lomi () consider bipartite relational event models; in that instance, the risk set excludes all events in which the sender and receiver belong to the same group. The risk set may also change over time as nodes enter or leave the network.…”

Section: Methodsmentioning

confidence: 99%

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Step by step: Capturing the dynamics of work team process through relational event sequences

Schecter

Pilny

Leung³

et al. 2017

J Organ Behavior

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The emergence of group constructs is an unfolding process, whereby actions and interactions coalesce into collective psychological states. Implicitly, there is a connection between these states and the underlying procession of events. The manner in which interactions follow one another over time describe a group's behavior, with different temporal patterns being indicative of different team characteristics. In this study, we explicitly connect event sequences to the process of emergence. We argue that the temporal relationship between events in a sequence will vary depending on the team's psychological outcome. Further, certain patterns of behavior will be repeated at different rates in teams with varying emergent states. To support this approach, we apply a statistical methodology-relational event modeling-for analyzing sequences of interactions that builds on the foundation of social network analysis. Using a dataset comprised of 55 work teams of military personnel engaged in a tactical scenario, we found that individuals who perceived team process (regarding coordination and information sharing) as having different qualities engaged in significantly different patterns of behavior. Our findings indicate that individuals who had a positive perception of process quality were more likely to initiate communication events in a reciprocal, transitive, and decentralized fashion.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Step by step: Capturing the dynamics of work team process through relational event sequences

Schecter

Pilny

Leung³

et al. 2017

J Organ Behavior

View full text Add to dashboard Cite

show abstract

“…Another possibility has been to model the dynamics of "relational events", circumventing the arbitrary establishment relational states. For instance, the "Relational Event Modeling" approach (Butts, 2008) infers the relational mechanisms from a stream of interactions (Quintane, Conaldi, Tonellato, & Lomi, 2014 for an example in the organizational literature).…”

Section: Temporalitymentioning

confidence: 99%

Network analysis: emergence, criticism and recent trends

Kirschbaum

2019

RAUSP

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Purpose Network analysis is a well consolidated research area in several disciplines. Within management and organizational studies, network scholars consolidated a set of research practices that allowed ease of data collection, high inter case comparability, establishment of nomological laws and commitment to social capital motivation. This paper aims to elicit the criticism it has received and highlight the unsettled lacunae. Design/methodology/approach This paper sheds light on Network Analysis’s breakthroughs, while showing how its scholars innovated by responding to critics, and identifying outstanding debates. Findings The paper identifies and discusses three streams of criticism that are still outstanding: the role of human agency, the meaning of social ties and the treatment of temporality. Originality/value This paper brings to fore current debates within the Network Analysis community, highlighting areas where future studies might contribute.

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“…Given the flexible nature of the data, the covariates may be time-varying. Formulating temporal network statistics across the network of past events as sufficient statistics was proposed by Butts (2008) and has been expanded ever since (Hunter et al 2011;Lerner et al 2013;Quintane et al 2014;Vu, Pattison and Robins 2015). In our exposition of the model, we follow Lerner et al (2013).…”

Section: Relational Event Model For Two-mode Networkmentioning

confidence: 99%

Networks and Social Influence in European Legislative Politics

Malang¹,

Brandenberger²,

Leifeld³

2017

Brit. J. Polit. Sci.

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The Treaty of Lisbon strengthened the role of national parliaments in the European Union. It introduced an ‘early warning system’, granting parliamentary chambers the right to reject legislative proposals by the European Commission. Previous studies assumed independence between the decisions of parliaments to reject a legislative proposal. We apply recent advances in inferential network analysis and argue that parliamentary vetoes are better explained by conceptualizing parliaments’ veto actions as a temporal network. Network effects can be observed along the dimension of party families. Based on a new permutation approach, we find that parliaments with similar party majorities influence each other over the course of the decision period (‘social influence’), rather than basing their decisions independently on joint prior partisanship (‘selection’).

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Modeling Relational Events: A Case Study on an Open Source Software Development Project

Cited by 23 publications

References 0 publications

Step by step: Capturing the dynamics of work team process through relational event sequences

Step by step: Capturing the dynamics of work team process through relational event sequences

Network analysis: emergence, criticism and recent trends

Networks and Social Influence in European Legislative Politics

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