The Experts below are selected from a list of 75300 Experts worldwide ranked by ideXlab platform
Greg Madey - One of the best experts on this subject based on the ideXlab platform.
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The Importance of Social Network Structure in the Open Source Software Developer Community
2010 43rd Hawaii International Conference on System Sciences, 2010Co-Authors: Matthew Van Antwerp, Greg MadeyAbstract:This paper outlines the motivations and methods for analyzing the developer Network of open source software (OSS) projects. Previous work done by Hinds [5] suggested Social Network Structure was instrumental towards the success of an OSS project, as measured by activity and output. The follow-up paper by Hinds [4] discovered that his hypotheses, based on Social Network theory and previous research on the importance of subgroup connectedness, were vastly different than the results of his study of over 100 successful OSS projects. He concluded that the Social Network Structure had no significant effect on project success. We outline how his approach disregarded potentially important factors and through a new study evaluate the role of the OSS developer Network as it pertains to long-term project popularity. We also present an initial investigation into the adequacy of using the SourceForge activity percentile as a long-term success metric. In contrast with Hinds, we show that previously existing developer-developer ties are an indicator of past and future project popularity.
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HICSS - The Importance of Social Network Structure in the Open Source Software Developer Community
2010 43rd Hawaii International Conference on System Sciences, 2010Co-Authors: Matthew Van Antwerp, Greg MadeyAbstract:This paper outlines the motivations and methods for analyzing the developer Network of open source software (OSS) projects. Previous work done by Hinds [5] suggested Social Network Structure was instrumental towards the success of an OSS project, as measured by activity and output. The follow-up paper by Hinds [4] discovered that his hypotheses, based on Social Network theory and previous research on the importance of subgroup connectedness, were vastly different than the results of his study of over 100 successful OSS projects. He concluded that the Social Network Structure had no significant effect on project success. We outline how his approach disregarded potentially important factors and through a new study evaluate the role of the OSS developer Network as it pertains to long-term project popularity. We also present an initial investigation into the adequacy of using the SourceForge activity percentile as a long-term success metric. In contrast with Hinds, we show that previously existing developer-developer ties are an indicator of past and future project popularity.
Matthew Van Antwerp - One of the best experts on this subject based on the ideXlab platform.
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The Importance of Social Network Structure in the Open Source Software Developer Community
2010 43rd Hawaii International Conference on System Sciences, 2010Co-Authors: Matthew Van Antwerp, Greg MadeyAbstract:This paper outlines the motivations and methods for analyzing the developer Network of open source software (OSS) projects. Previous work done by Hinds [5] suggested Social Network Structure was instrumental towards the success of an OSS project, as measured by activity and output. The follow-up paper by Hinds [4] discovered that his hypotheses, based on Social Network theory and previous research on the importance of subgroup connectedness, were vastly different than the results of his study of over 100 successful OSS projects. He concluded that the Social Network Structure had no significant effect on project success. We outline how his approach disregarded potentially important factors and through a new study evaluate the role of the OSS developer Network as it pertains to long-term project popularity. We also present an initial investigation into the adequacy of using the SourceForge activity percentile as a long-term success metric. In contrast with Hinds, we show that previously existing developer-developer ties are an indicator of past and future project popularity.
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HICSS - The Importance of Social Network Structure in the Open Source Software Developer Community
2010 43rd Hawaii International Conference on System Sciences, 2010Co-Authors: Matthew Van Antwerp, Greg MadeyAbstract:This paper outlines the motivations and methods for analyzing the developer Network of open source software (OSS) projects. Previous work done by Hinds [5] suggested Social Network Structure was instrumental towards the success of an OSS project, as measured by activity and output. The follow-up paper by Hinds [4] discovered that his hypotheses, based on Social Network theory and previous research on the importance of subgroup connectedness, were vastly different than the results of his study of over 100 successful OSS projects. He concluded that the Social Network Structure had no significant effect on project success. We outline how his approach disregarded potentially important factors and through a new study evaluate the role of the OSS developer Network as it pertains to long-term project popularity. We also present an initial investigation into the adequacy of using the SourceForge activity percentile as a long-term success metric. In contrast with Hinds, we show that previously existing developer-developer ties are an indicator of past and future project popularity.
Jean M Vettel - One of the best experts on this subject based on the ideXlab platform.
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brain connectivity dynamics during Social interaction reflect Social Network Structure
Proceedings of the National Academy of Sciences of the United States of America, 2017Co-Authors: Ralf Schmalzle, Matthew Brook Odonnell, Javier O Garcia, Christopher N Cascio, Joseph B Bayer, Danielle S Bassett, Jean M VettelAbstract:Social ties are crucial for humans. Disruption of ties through Social exclusion has a marked effect on our thoughts and feelings; however, such effects can be tempered by broader Social Network resources. Here, we use fMRI data acquired from 80 male adolescents to investigate how Social exclusion modulates functional connectivity within and across brain Networks involved in Social pain and understanding the mental states of others (i.e., mentalizing). Furthermore, using objectively logged friendship Network data, we examine how individual variability in brain reactivity to Social exclusion relates to the density of participants’ friendship Networks, an important aspect of Social Network Structure. We find increased connectivity within a set of regions previously identified as a mentalizing system during exclusion relative to inclusion. These results are consistent across the regions of interest as well as a whole-brain analysis. Next, examining how Social Network characteristics are associated with task-based connectivity dynamics, we find that participants who showed greater changes in connectivity within the mentalizing system when Socially excluded by peers had less dense friendship Networks. This work provides insight to understand how distributed brain systems respond to Social and emotional challenges and how such brain dynamics might vary based on broader Social Network characteristics.
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brain connectivity dynamics during Social interaction reflect Social Network Structure
bioRxiv, 2017Co-Authors: Ralf Schmalzle, Matthew Brook Odonnell, Javier O Garcia, Christopher N Cascio, Joseph B Bayer, Danielle S Bassett, Jean M Vettel, Emily B FalkAbstract:Social ties are crucial for humans. Disruption of ties through Social exclusion has a marked effect on our thoughts and feelings; however, such effects can be tempered by broader Social Network resources. Here, we use functional magnetic resonance imaging data acquired from 80 male adolescents to investigate how Social exclusion modulates functional connectivity within and across brain Networks involved in Social pain and understanding the mental states of others (i.e., mentalizing). Furthermore, using objectively logged friendship Network data, we examine how individual variability in brain reactivity to Social exclusion relates to the density of participants' friendship Networks, an important aspect of Social Network Structure. We find increased connectivity within a set of regions previously identified as a mentalizing system during exclusion relative to inclusion. These results are consistent across the regions of interest as well as a whole-brain analysis. Next, examining how Social Network characteristics are associated with task-based connectivity dynamics, participants who showed greater changes in connectivity within the mentalizing system when Socially excluded by peers had less dense friendship Networks. This work provides novel insight to understand how distributed brain systems respond to Social and emotional challenges, and how such brain dynamics might vary based on broader Social Network characteristics.
Douglas A Grange - One of the best experts on this subject based on the ideXlab platform.
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associations between secretory immunoglobulin a and Social Network Structure
International Journal of Behavioral Medicine, 2018Co-Authors: David R Schaefe, Sarah D Pressma, Douglas A GrangeAbstract:Purpose This study investigates the Social determinants of health by examining how mucosal immunity is associated with the patterning of Social connections in a Network. Studies have suggested that Social Networks have biological underpinnings, but investigations at the scale of Networks, rather than individuals, have remained elusive. We integrate salivary bioscience methods with advanced Social Network modeling to explore the association between salivary secretory immunoglobulin A (SIgA), a key component of mucosal immunity, and Social Network Structure.
D. A. Granger - One of the best experts on this subject based on the ideXlab platform.
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Associations Between Secretory Immunoglobulin A and Social Network Structure
International Journal of Behavioral Medicine, 2018Co-Authors: O. Kornienko, D. R. Schaefer, S. D. Pressman, D. A. GrangerAbstract:Purpose This study investigates the Social determinants of health by examining how mucosal immunity is associated with the patterning of Social connections in a Network. Studies have suggested that Social Networks have biological underpinnings, but investigations at the scale of Networks, rather than individuals, have remained elusive. We integrate salivary bioscience methods with advanced Social Network modeling to explore the association between salivary secretory immunoglobulin A (SIgA), a key component of mucosal immunity, and Social Network Structure. Method Friendship Network data and saliva samples (later assayed for SIgA) were obtained from a large mixed-gender Social organization ( n = 155, 55% female, M age = 19.5 years). Results Exponential random graph modeling revealed that SIgA levels were positively associated with reporting more friendship ties with community members (i.e., Social Network activity), after controlling for other processes associated with Network Structure including preference to befriend others of the same age, gender, and extraversion, increased Network popularity of agreeable individuals and those with lower levels of perceived stress, as well as Network structural and organizational processes. Conclusion By examining a wider range of associations between SIgA and Network Structure, we pinpoint that SIgA is positively associated with respondent’s sociability. Our findings are consistent with Social integration theories linking Social relationships to health and highlight the role of humoral immunity as a possible mediator of these associations.
