13 citations · 33 across the 20 of their papers we have counts for
9 papers · 1 filter
Improving Code Review with GitHub Issue Tracking
Abduljaleel Al-Rubaye, Gita Sukthankar
Software quality is an important problem for technology companies, since it substantially impacts the efficiency, usefulness, and maintainability of the final product; hence, code…
Scoring Popularity in GitHub
Abduljaleel Al-Rubaye, Gita Sukthankar
Popularity and engagement are the currencies of social media platforms, serving as powerful reinforcement mechanisms to keep users online. Social coding platforms such as GitHub se…
Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks
Ivan Garibay, Toktam A. Oghaz, Niloofar Yousefi +23
This paper explains the design of a social network analysis framework, developed under DARPA's SocialSim program, with novel architecture that models human emotional, cognitive and…
Network Semantic Segmentation with Application to GitHub
Neda Hajiakhoond Bidoki, Gita Sukthankar
In this paper we introduce the concept of network semantic segmentation for social network analysis. We consider the GitHub social coding network which has been a center of attenti…
A Cross-Repository Model for Predicting Popularity in GitHub
Neda Hajiakhoond Bidoki, Gita Sukthankar, Heather Keathley +1
Social coding platforms, such as GitHub, can serve as natural laboratories for studying the diffusion of innovation through tracking the pattern of code adoption by programmers. Th…
Investigating Negative Interactions in Multiplex Networks: A Mutual Information Approach
Alireza Hajibagheri, Gita Sukthankar
Many interesting real-world systems are represented as complex networks with multiple types of interactions and complicated dependency structures between layers. These interactions…
A Holistic Approach for Predicting Links in Coevolving Multilayer Networks
Alireza Hajibagheri, Gita Sukthankar, Kiran Lakkaraju
Networks extracted from social media platforms frequently include multiple types of links that dynamically change over time; these links can be used to represent dyadic interaction…
Identifying Community Structures in Dynamic Networks
Hamidreza Alvari, Alireza Hajibagheri, Gita Sukthankar +1
Most real-world social networks are inherently dynamic, composed of communities that are constantly changing in membership. To track these evolving communities, we need dynamic com…
Leveraging Network Dynamics for Improved Link Prediction
Alireza Hajibagheri, Gita Sukthankar, Kiran Lakkaraju
The aim of link prediction is to forecast connections that are most likely to occur in the future, based on examples of previously observed links. A key insight is that it is usefu…