2016
DOI: 10.1371/journal.pone.0154324
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Converging Work-Talk Patterns in Online Task-Oriented Communities

Abstract: Much of what we do is accomplished by working collaboratively with others, and a large portion of our lives are spent working and talking; the patterns embodied in the alternation of working and talking can provide much useful insight into task-oriented social behaviors. The available electronic traces of the different kinds of human activities in online communities are an empirical goldmine that can enable the holistic study and understanding of these social systems. Open Source Software (OSS) projects are pr… Show more

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Cited by 10 publications
(5 citation statements)
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References 62 publications
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“…The authors of the original study enhanced their work by identifying patterns on the time series of working activity in terms of source-code commits and communication activity in terms of replying to e-mails on the mailing list for developer pairs, which indicate that collaboration on source-code artifacts and coordinating events on the mailing list are temporally related (Xuan et al 2016). Gharehyazie and Filkov (2017) extended the original study by not investigating pairs of developers but groups of developers working on the same source-code artifacts temporally close-by.…”
Section: Related Workmentioning
confidence: 99%
“…The authors of the original study enhanced their work by identifying patterns on the time series of working activity in terms of source-code commits and communication activity in terms of replying to e-mails on the mailing list for developer pairs, which indicate that collaboration on source-code artifacts and coordinating events on the mailing list are temporally related (Xuan et al 2016). Gharehyazie and Filkov (2017) extended the original study by not investigating pairs of developers but groups of developers working on the same source-code artifacts temporally close-by.…”
Section: Related Workmentioning
confidence: 99%
“…It separately characterizes the existence of a relationship and its precise nature; thus, it enables more informed choices in modeling nonfunctional and nonlinear relationships, and a more nuanced indicator of potential problems with the values reported by standard and rank correlation measures. In our first study [15], we illustrated the use of MIC using a variety of software engineering metrics. We studied and explained the distributional properties of MIC and related measures in software engineering data, and illustrated the value of these measures for the empirical software engineering researcher.…”
Section: Better Measures Of Correlation (Ref # 15)mentioning
confidence: 99%
“…Task Networks Communities of LikeCulture (Ref #15) We looked [15] at the emergence of larger, teamlevel, collaborative structures in task networks. We used sequence analysis methods to identify the worktalk patterns of software developers in these online communities.…”
Section: Social and Technical Activity Synchronization (Ref #1)mentioning
confidence: 99%
“…Previous research on OSS development has proven the existence of co-development groups, i.e., latent socio-technical structures [4] formed by two or more developers (also referred to as implicit teams [38] and putative groups [20]) who tend to communicate often and work together on the same artifacts. There is also evidence that the members of these co-development groups are very productive and more likely to remain active within communities for longer [56]. Consistently, theories on group attachment suggest that groups who 'interact' (i.e., work and talk) rather than just 'coact' (i.e., work together without interaction) remain active longer and reach higher performances [6].…”
Section: Introductionmentioning
confidence: 99%