Collaboration patterns in software developer network

Didi Surian; David Lo; Ee-Peng Lim

doi:10.1007/978-1-4614-6170-8_292

Collaboration patterns in software developer network

Didi Surian, David Lo, Ee-Peng Lim

Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary/reference book › peer-review

Abstract

In this entry, we extract temporal and spatial outlier events from a large online location-based social network. We analyze the check-in patterns and friendship networks of the users to determine the changes of topic of a location from time to time. A topic of a location at a specific time is determined by check-in patterns and number of friendship networks. Dealing with a worldwide scale check-in patterns introduces a new challenge as the exact location information (e.g., location’s specific function, location’s exact geo-position) is difficult to determine. To address this issue, we use a unique combination of generative model and von Mises-Fisher distribution to determine the topic of a location at a specific time, given the check-in patterns and friendship networks information of all users who check in.We showcase our proposed approach by performing experiments using dataset (Leskovec 2012) extracted from Brightkite, which was one of the largest location-based social networking services.

Original language	English
Title of host publication	Encyclopedia of social network analysis and mining
Editors	Reda Alhajj, Jon Rokne
Place of Publication	New York
Publisher	Springer, Springer Nature
Pages	118-124
Number of pages	7
ISBN (Print)	9781461461692
DOIs	https://doi.org/10.1007/978-1-4614-6170-8_292
Publication status	Published - 2014
Externally published	Yes

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10.1007/978-1-4614-6170-8_292

Cite this

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title = "Collaboration patterns in software developer network",

abstract = "In this entry, we extract temporal and spatial outlier events from a large online location-based social network. We analyze the check-in patterns and friendship networks of the users to determine the changes of topic of a location from time to time. A topic of a location at a specific time is determined by check-in patterns and number of friendship networks. Dealing with a worldwide scale check-in patterns introduces a new challenge as the exact location information (e.g., location{\textquoteright}s specific function, location{\textquoteright}s exact geo-position) is difficult to determine. To address this issue, we use a unique combination of generative model and von Mises-Fisher distribution to determine the topic of a location at a specific time, given the check-in patterns and friendship networks information of all users who check in.We showcase our proposed approach by performing experiments using dataset (Leskovec 2012) extracted from Brightkite, which was one of the largest location-based social networking services.",

author = "Didi Surian and David Lo and Ee-Peng Lim",

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T1 - Collaboration patterns in software developer network

AU - Surian, Didi

AU - Lo, David

AU - Lim, Ee-Peng

PY - 2014

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AB - In this entry, we extract temporal and spatial outlier events from a large online location-based social network. We analyze the check-in patterns and friendship networks of the users to determine the changes of topic of a location from time to time. A topic of a location at a specific time is determined by check-in patterns and number of friendship networks. Dealing with a worldwide scale check-in patterns introduces a new challenge as the exact location information (e.g., location’s specific function, location’s exact geo-position) is difficult to determine. To address this issue, we use a unique combination of generative model and von Mises-Fisher distribution to determine the topic of a location at a specific time, given the check-in patterns and friendship networks information of all users who check in.We showcase our proposed approach by performing experiments using dataset (Leskovec 2012) extracted from Brightkite, which was one of the largest location-based social networking services.

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M3 - Entry for encyclopedia/dictionary/reference book

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PB - Springer, Springer Nature

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ER -

Collaboration patterns in software developer network

Abstract

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