Validity of network analyses in Open Source Projects

Nia, Roozbeh; Bird, Christian; Dévanbu, Prémkumar; Filkov, Vladimir

doi:10.1109/msr.2010.5463342

Cited by 19 publications

(26 citation statements)

References 33 publications

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“…A second approach is to follow the argument of Nia, Bird, Devanbu, and Filkov (2010) (who respond to a working version of this paper). They call this issue "transitive faults" and demonstrate two approaches to exploring its impact.…”

Section: Figure 2 the Implications Of Collapsing Flow Network Builtmentioning

confidence: 99%

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Validity Issues in the Use of Social Network Analysis with Digital Trace Data

Howison

Wiggins

Crowston

2011

JAIS

251

200

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Section: Figure 2 the Implications Of Collapsing Flow Network Builtmentioning

confidence: 99%

“… Explore and demonstrate upper and lower bounds on this problem for your data and measure, arguing that even if the measure is affected to the extent of the upper bound, the results will still support the argument made in the paper. See Nia et al (2010).…”

Section: Recommendationsmentioning

confidence: 99%

Validity Issues in the Use of Social Network Analysis with Digital Trace Data

Howison

Wiggins

Crowston

2011

JAIS

251

200

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“…Researchers have shown that the social interaction networks represents a strong representation of active developers in OSS projects [14]. They further show that social interaction networks are very stable in presence of noise or lack of enough information and still have a very strong correlation with the active developers network [15].…”

Section: Related Workmentioning

confidence: 97%

SIN: A Platform to Make Interactions in Social Networks Accessible

Nia

Erlandsson

Bhattacharyya

et al. 2012

2012 International Conference on Social Informatics

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Abstract-Online Social Networks (OSNs) are popular platforms for interaction, communication and collaboration between friends. In this paper we develop and present a new platform to make interactions in OSNs accessible. Most of today's social networks, including Facebook, Twitter, and Google+ provide support for third party applications to use their social network graph and content. Such applications are strongly dependent on the set of software tools and libraries provided by the OSNs for their own development and growth. For example, third party companies like CNN provide recommendation materials based on user interactions and user's relationship graph. One of the limitations with this graph (or APIs) is the segregation from the shared content. We believe, and present in this paper, that the content shared and the actions taken on the content, creates a Social Interaction Network (SIN). As such, we extend Facebook's current API in order to allow applications to retrieve a weighted graph instead of Facebooks unweighted graph. Finally, we evaluate the proposed platform based on completeness and speed of the crawled results from selected community pages. We also give a few example uses of our API on how it can be used by third party applications.

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“…Recently, human aspect in empirical software engineering is on the increase [173], and SNA (social network analysis) in MSR is the main case of it [175]. SNA is diversely adopted; Applying SNA to CVS [174], mining mailing list [177], graph visualization of developers' network [176], analyzing developer's blog [178], validation of SNA metrics [173].…”

Section: Applications Of Other Domain Approachesmentioning

confidence: 99%

“…SNA is diversely adopted; Applying SNA to CVS [174], mining mailing list [177], graph visualization of developers' network [176], analyzing developer's blog [178], validation of SNA metrics [173]. As social networks are being actively constructed and a variety of media to communicate appear, social network analysis in MSR is challengeable in the future.…”

Section: Applications Of Other Domain Approachesmentioning

confidence: 99%