Dr. Alexander Struck
Profil
Zusammenfassung
Dr. Alexander Struck beschäftigt sich mit der Nachhaltigkeit und Infrastruktur von Forschungssoftware sowie mit Algorithmen zur Analyse von Netzwerkstrukturen. Seine Expertise umfasst die Identifikation von Gemeinschaften in Graphen, die Verwaltung und Auffindbarkeit von Forschungssoftware und die Förderung von Best Practices in der Softwareentwicklung für die Wissenschaft. Diese Kompetenzen sind für Organisationen relevant, die ihre Forschungsprozesse durch robuste, nachhaltige Software-Infrastrukturen unterstützen oder komplexe Netzwerkdaten analysieren möchten.
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Stammdaten
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- Name
- Dr. Alexander Struck
- Titel
- Dr.
- Fakultät
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- Stabsstelle Berlin University Alliance / Matters of Activity
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- 28.6.2026, 01:13:28
Forschungsthemen1
Trainings, Education and Further Education - Trainingsveranstaltung „Research Software Day & Week 2026“
Quelle ↗409-02-A · SoftwaretechnikFörderer: Berlin University Alliance (BUA) Zeitraum: 03/2026 - 12/2026 Projektleitung: Dr. Alexander Struck
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Publikationen25
Top 25 nach Zitationen — Quelle: OpenAlex (BAAI/bge-m3 embedded für Matching).
Journal of Statistical Mechanics Theory and Experiment · 89 Zitationen · DOI
We propose a new local, deterministic and parameter-free algorithm that detects fuzzy and crisp overlapping communities in a weighted network and simultaneously reveals their hierarchy. Using a local fitness function, the algorithm greedily expands natural communities of seeds until the whole graph is covered. The hierarchy of communities is obtained analytically by calculating resolution levels at which communities grow rather than numerically by testing different resolution levels. This analytic procedure is not only more exact than its numerical alternatives such as LFM and GCE but also much faster. Critical resolution levels can be identified by searching for intervals in which large changes of the resolution do not lead to growth of communities. We tested our algorithm on benchmark graphs and on a network of 492 papers in information science. Combined with a specific post-processing, the algorithm gives much more precise results on LFR benchmarks with high overlap compared to other algorithms and performs very similar to GCE.
F1000Research · 41 Zitationen · DOI
Research software has become a central asset in academic research. It optimizes existing and enables new research methods, implements and embeds research knowledge, and constitutes an essential research product in itself. Research software must be sustainable in order to understand, replicate, reproduce, and build upon existing research or conduct new research effectively. In other words, software must be available, discoverable, usable, and adaptable to new needs, both now and in the future. Research software therefore requires an environment that supports sustainability. Hence, a change is needed in the way research software development and maintenance are currently motivated, incentivized, funded, structurally and infrastructurally supported, and legally treated. Failing to do so will threaten the quality and validity of research. In this paper, we identify challenges for research software sustainability in Germany and beyond, in terms of motivation, selection, research software engineering personnel, funding, infrastructure, and legal aspects. Besides researchers, we specifically address political and academic decision-makers to increase awareness of the importance and needs of sustainable research software practices. In particular, we recommend strategies and measures to create an environment for sustainable research software, with the ultimate goal to ensure that software-driven research is valid, reproducible and sustainable, and that software is recognized as a first class citizen in research. This paper is the outcome of two workshops run in Germany in 2019, at deRSE19 - the first International Conference of Research Software Engineers in Germany - and a dedicated DFG-supported follow-up workshop in Berlin.
F1000Research · 40 Zitationen · DOI
<ns3:p>Research software has become a central asset in academic research. It optimizes existing and enables new research methods, implements and embeds research knowledge, and constitutes an essential research product in itself. Research software must be sustainable in order to understand, replicate, reproduce, and build upon existing research or conduct new research effectively. In other words, software must be available, discoverable, usable, and adaptable to new needs, both now and in the future. Research software therefore requires an environment that supports sustainability.</ns3:p> <ns3:p/> <ns3:p>Hence, a change is needed in the way research software development and maintenance are currently motivated, incentivized, funded, structurally and infrastructurally supported, and legally treated. Failing to do so will threaten the quality and validity of research. In this paper, we identify challenges for research software sustainability in Germany and beyond, in terms of motivation, selection, research software engineering personnel, funding, infrastructure, and legal aspects. Besides researchers, we specifically address political and academic decision-makers to increase awareness of the importance and needs of sustainable research software practices. In particular, we recommend strategies and measures to create an environment for sustainable research software, with the ultimate goal to ensure that software-driven research is valid, reproducible and sustainable, and that software is recognized as a first class citizen in research. This paper is the outcome of two workshops run in Germany in 2019, at deRSE19 - the first International Conference of Research Software Engineers in Germany - and a dedicated DFG-supported follow-up workshop in Berlin.</ns3:p>
Kooperationen1
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Trainings, Education and Further Education - Trainingsveranstaltung „Research Software Day & Week 2026“
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