Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Christoph Gote"'
Publikováno v:
Applied Network Science, Vol 8, Iss 1, Pp 1-20 (2023)
Abstract Apart from nodes and links, for many networked systems, we have access to data on paths, i.e., collections of temporally ordered variable-length node sequences that are constrained by the system’s topology. Understanding the patterns in su
Externí odkaz:
https://doaj.org/article/3953d41fb2e247478feaf133a2d2811f
Autor:
Frank Schweitzer, Georges Andres, Giona Casiraghi, Christoph Gote, Ramona Roller, Ingo Scholtes, Giacomo Vaccario, Christian Zingg
Resilience denotes the capacity of a system to withstand shocks and its ability to recover from them. We develop a framework to quantify the resilience of highly volatile, non-equilibrium social organizations, such as collectives or collaborating tea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18235ab8b9bb7cc872e1a9e1edce5b6c
http://arxiv.org/abs/2301.00183
http://arxiv.org/abs/2301.00183
Autor:
Christoph Gote
Publikováno v:
2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92901120258486b4e568de74e91e1430
https://doi.org/10.1109/asonam55673.2022.10068714
https://doi.org/10.1109/asonam55673.2022.10068714
Massive data from software repositories and collaboration tools are widely used to study social aspects in software development. One question that several recent works have addressed is how a software project's size and structure influence team produ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3918f7710f0fce1abdc4d93b55922d04
Publikováno v:
Empirical Software Engineering
Empirical Software Engineering, 26 (4)
Empirical Software Engineering, 26 (4)
Data from software repositories have become an important foundation for the empirical study of software engineering processes. A recurring theme in the repository mining literature is the inference of developer networks capturing e.g. collaboration,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d17fb583d90186786738123370db491
https://doi.org/10.1007/s10664-020-09928-2
https://doi.org/10.1007/s10664-020-09928-2
Autor:
Christian Zingg, Christoph Gote
Publikováno v:
MSR
Name disambiguation is a complex but highly relevant challenge whenever analysing real-world user data, such as data from version control systems. We propose gambit, a rule-based disambiguation tool that only relies on name and email information. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f533fd88e0db44f2ab8afb00386c3cb
https://doi.org/10.1109/msr52588.2021.00021
https://doi.org/10.1109/msr52588.2021.00021
Publikováno v:
WWW (Companion Volume)
WWW '21: Companion Proceedings of the Web Conference 2021
WWW '21: Companion Proceedings of the Web Conference 2021
The Open Source software package pathpy, available at https://www.pathpy.net, implements statistical techniques to learn optimal graphical models for the causal topology generated by paths in time-series data. Operationalizing Occam's razor, these mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ed66b4a8f23df1b0e88e5984c35aaf9
Networks are frequently used to model complex systems comprised of interacting elements. While edges capture the topology of direct interactions, the true complexity of many systems originates from higher-order patterns in paths by which nodes can in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3add41f751f1a7a6ba4ffa5b2b2e3020
We provide a general framework to model the growth of networks consisting of different coupled layers. Our aim is to estimate the impact of one such layer on the dynamics of the others. As an application, we study a scientometric network, where one l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c472afffff2359525c103be79c8ffcd6
Publikováno v:
MSR
Data from software repositories have become an important foundation for the empirical study of software engineering processes. A recurring theme in the repository mining literature is the inference of developer networks capturing e.g. collaboration,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9351d60d9ce75abd095c5c831256096