Article
Computer Science, Software Engineering
Simon Butler, Jonas Gamalielsson, Bjorn Lundell, Christoffer Brax, Johan Sjoberg, Anders Mattsson, Tomas Gustavsson, Jonas Feist, Erik Lonroth
Summary: This research investigates the various work practices used by company contributors to engage with and contribute to eight community OSS projects, finding that companies choose contribution methods based on their needs and capabilities. Factors influencing contributor work practices can be complex, arising from considerations such as company and project structure, technical concerns, and commercial strategies.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2021)
Article
Management
Xing Gao
Summary: This study examines market strategies of open source and proprietary vendors in both low-end and high-end markets using a game-theoretic model. The findings suggest that user innovation may not always benefit open source vendors in terms of profit, as price competition may offset the contribution.
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT
(2022)
Article
Computer Science, Software Engineering
Damian A. Tamburri, Fabio Palomba, Rick Kazman
Summary: Software engineering success relies on balancing distance, culture, global engineering practices and more. This paper introduces an automated approach, CodeFace4Smells, to identify four community smell types. A large-scale empirical study on 60 open-source communities reveals that community smells are highly diffused in open-source and perceived by developers as significant issues for software community evolution.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2021)
Article
Business
Johannes Wachs, Mariusz Nitecki, William Schueller, Axel Polleres
Summary: Open Source Software plays a crucial role in the digital economy, but the geographic distribution of developers has been uneven. However, recent data shows an increasing number of developers in Asia, Latin America, and Eastern Europe, indicating a more balanced global spread of OSS developers. Localized policies are needed to support networks of OSS developers.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Computer Science, Cybernetics
Phesto P. Namayala, Tabu S. Kondo, Leonard J. Mselle
Summary: The study aims to identify the influencing factors of user experience maturity in the free and open-source software community and evaluate the community's understanding of this concept. The results can be used to develop user experience capability models exclusive to the free and open-source software community.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Energy & Fuels
T. Niet, A. Shivakumar, F. Gardumi, W. Usher, E. Williams, M. Howells
Summary: This paper illustrates how a vibrant community of practice has been built around OSeMOSYS through updated code management structure, revised community forum, and outreach activities. These three pillars are key to establishing a community around an open source tool.
ENERGY STRATEGY REVIEWS
(2021)
Article
Information Science & Library Science
John Qi Dong, Sebastian Johannes Goetz
Summary: Digital social innovation is crucial in addressing social needs, with open source software providing free alternatives for economically disadvantaged users. Project leaders play a significant role in OSS projects, influencing software usage and user satisfaction.
INFORMATION SYSTEMS JOURNAL
(2021)
Article
Engineering, Multidisciplinary
Qing Zhao, Xiangjuan Yao, Xiangying Dang, Dunwei Gong
Summary: This paper proposes a method based on a probability propagation model to effectively and quickly identify the most influential users in the open source software community. The method takes into account the interaction behavior among users by quantifying user feedback on projects and establishing a new probability propagation model between users.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Chemistry, Analytical
Tiago E. P. Gomes, Mylene S. S. Cadete, Jorge A. F. Ferreira, Renato Febra, Joao Silva, Tiago Noversa, Antonio J. Pontes, Victor Neto
Summary: In this study, an alternative monitoring system was developed and tested in the TOOLING 4G project, which has the characteristics of affordability, simplicity, real-time data acquisition, intuitive GUI, and open-source firmware and software. The system uses an Arduino microcontroller-based data acquisition module to connect to a computer via a USB port. The system can visualize and record data from up to six sensors at a rate of 10 Hz, and successfully monitor an injection mold under real-world conditions, distinguishing between normal and abnormal operating patterns.
Article
Computer Science, Information Systems
Rajdeep Kaur, Kuljit Kaur Chahal, Munish Saini
Summary: Active community engagement is crucial for the success of an Open Source Software (OSS) project. Research mainly focuses on 5 main topics, with more evidence found on motivation and contribution barriers.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Business
Weimo Li, Yaobin Lu, Jifeng Ma, Bin Wang
Summary: The study reveals that organizational adoption has a negative impact on the likelihood and homogeneity of subsequent user innovation, but a positive impact on its quality. Moreover, timely and lower-level adoption can increase the likelihood of users' subsequent innovation.
Article
Computer Science, Information Systems
Linda Karlovska, Anna Petrasova, Vaclav Petras, Martin Landa
Summary: This article presents a case study of using a community-driven design approach in an open-source scientific project, providing insights into effective software development practices driven by the needs and input of the community.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Chemistry, Multidisciplinary
Mamdouh Alenezi
Summary: The evolution of software systems and understanding their internal quality is crucial in software engineering. This study analyzed the evolution of object-oriented open-source software systems in terms of size, internal quality metrics, showing significant differences among systems in LOC, significant correlations between internal quality metrics, and positive effects of complexity and inheritance on LOC. Coupling and Cohesion did not show significant effects on LOC.
APPLIED SCIENCES-BASEL
(2021)
Article
Business
Thierry Rayna, Ludmila Striukova, Emmanuelle Fauchart
Summary: The ability to commercialize products based on distributed innovation is a critical challenge in large-scale open innovation. However, there is relatively limited literature on the commercialization strategies of open-source hardware (OSHW), despite it being more complex than open-source software (OSS) commercialization. This article, based on a multi-method exploratory study, demonstrates that firms can strategically leverage the grey area between closeness and openness in OSHW to take advantage of community innovations.
CALIFORNIA MANAGEMENT REVIEW
(2023)
Article
Chemistry, Multidisciplinary
Vedhus Hoskere, Fouad Amer, Doug Friedel, Wanxian Yang, Yu Tang, Yasutaka Narazaki, Matthew D. Smith, Mani Golparvar-Fard, Billie F. Spencer Jr
Summary: The rapid development of deep learning technology has driven the successful application of automated damage detection techniques, but the lack of large-scale annotated datasets for various types of damage limits its application in areas such as inspection automation. InstaDam is an open-source software platform that accelerates pixel-wise damage annotation using binary masks, improving annotation consistency and efficiency.
APPLIED SCIENCES-BASEL
(2021)
Article
Mathematics, Interdisciplinary Applications
Frank Schweitzer, Tamas Krivachy, David Garcia
Article
Mathematics, Applied
Simon Schweighofer, David Garcia, Frank Schweitzer
Article
Mathematics, Interdisciplinary Applications
Frank Schweitzer, Luca Verginer, Giacomo Vaccario
ADVANCES IN COMPLEX SYSTEMS
(2020)
Article
Computer Science, Artificial Intelligence
Pavlin Mavrodiev, Frank Schweitzer
Summary: Research suggests that under social influence, the wisdom of crowds may not always result in the correct answer, as agents tend to adjust their opinions and converge to a collective opinion that is often further away from the truth.
SWARM INTELLIGENCE
(2021)
Article
Multidisciplinary Sciences
Giacomo Vaccario, Luca Verginer, Frank Schweitzer
Summary: This study examines the global migration of scientists by combining two large data sets covering the publications of 3.5 million scientists over 60 years. The research analyzes the geographical career paths of scientists and the topological properties of the world network of scientists' mobility between cities. The results show that the probability of scientists to relocate decreases with age and distance, providing insights into the mobility patterns of scientists.
SCIENTIFIC REPORTS
(2021)
Article
Physics, Multidisciplinary
Giona Casiraghi, Christian Zingg, Frank Schweitzer
Summary: The study shows that the lock-in effect and systemic failures in a network of task assignments increase with the heterogeneity in fitness values. By using Shannon entropy to study this relationship, the findings are linked to the issue of resilience and observations in social systems.
Article
Mathematics, Interdisciplinary Applications
Frank Schweitzer, Antonios Garas, Mario Tomasello, Giacomo Vaccario, Luca Verginer
Summary: We used a data-driven agent-based model to study the core-periphery structure of two collaboration networks, and introduced a coreness value to characterize the network embeddedness of agents. The study found that the coreness values of collaboration partners were consistent with the empirical coreness differences, and explained the reason for the change in partner selection for agents with high network embeddedness.
ADVANCES IN COMPLEX SYSTEMS
(2022)
Article
Physics, Multidisciplinary
Frank Schweitzer
Summary: We evaluate the robustness and adaptivity of social groups with heterogeneous agents, characterized by binary states, the ability to change states, status, and preferred relations to other agents. The hexagrams of the I Ching are operationalized to define group structures, and the influence of agents is quantified based on the social impact theory. We propose a weighted stability measure for triads involving three agents, which combines robustness and adaptivity to determine group resilience. A stochastic approach is used to determine the probabilities of finding robust and adaptive groups. The discussion focuses on the generalization of the approach.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Political Science
Laurence Brandenberger, Giona Casiraghi, Georges Andres, Simon Schweighofer, Frank Schweitzer
Summary: This study compares online and offline political support among members of the Swiss National Council and finds that online endorsements are predominantly driven by partisanship and lack the diversity found in offline support behavior.
SWISS POLITICAL SCIENCE REVIEW
(2022)
Article
Mathematics, Interdisciplinary Applications
Frank Schweitzer, Georges Andres, Giona Casiraghi, Christoph Gote, Ramona Roller, Ingo Scholtes, Giacomo Vaccario, Christian Zingg
Summary: Resilience refers to the ability of a system to resist shocks and recover from them. A framework has been developed to quantify the resilience of volatile social organizations, such as collectives or collaborating teams. It involves four steps: delimitation, conceptualization, formal representation, and operationalization.
ADVANCES IN COMPLEX SYSTEMS
(2022)
Article
Computer Science, Theory & Methods
Christoph Gote, Giona Casiraghi, Frank Schweitzer, Ingo Scholtes
Summary: In addition to nodes and links, data on paths is important for understanding the structure and dynamics of complex systems. Accurately modeling and predicting paths is also crucial for engineered systems. This paper introduces MOGen, a generative modeling framework that can predict paths with high accuracy and consistency. It automatically selects the optimal model from data, making it parameter-free, and outperforms state-of-the-art sequence modeling techniques in empirical data.
APPLIED NETWORK SCIENCE
(2023)
Article
Physics, Fluids & Plasmas
Nikos Papanikolaou, Giacomo Vaccario, Erik Hormann, Renaud Lambiotte, Frank Schweitzer
Summary: This study investigates the impact of group interactions on the emergence of consensus in a spin system. The research finds that group interactions amplify initial opinion biases, accelerate consensus formation, and result in a drift of the average magnetization.
Article
Multidisciplinary Sciences
Nicolas Perony, Gerald Kerth, Frank Schweitzer
Summary: Communal roosting in Bechstein's bat colonies is characterized by the formation of several groups that use different day roosts and that regularly dissolve and re-merge (fission-fusion dynamics). The study shows that the number of days that bats stay in the same roost before changing follows an exponential distribution and is independent of the colony size. The number and size of roosting groups formed by bats depend on the size of the colony.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2022)
Article
Physics, Fluids & Plasmas
Frank Schweitzer, Georges Andres
Summary: This article examines the formation and development of social groups, and the impact of different parameters on their formation and coexistence. Using an agent-based model and analytic investigations, critical density parameters that control the formation and coexistence of groups are derived.
Article
Information Science & Library Science
Christian Zingg, Vahan Nanumyan, Frank Schweitzer
QUANTITATIVE SCIENCE STUDIES
(2020)
