DBLP

DBLP

Features and How to Find Them

Published in Ivan Mistrik, Matthias Galster, Bruce R. Maxim, Software Engineering for Variability Intensive Systems, 2019

Jacob Krüger, Thorsten Berger, Thomas Leich

Finally, we check our search results by using the SCOPUS database—last updated on January 26, 2018. This time, we use the more specific search string “manual AND feature locat*” on abstracts, keywords, and titles. The resulting 37 documents contain no new relevant studies, wherefore we finally include seven studies in our review. The small number of mostly recent studies already indicates that more research on manual feature location may be necessary to improve our understanding of this task. We remark that DBLP as well as SCOPUS are databases that index publications from most important publishers in computer sciences, including ACM, IEEE, Springer, Elsevier, and Wiley.

Discovering overlapping communities using a new diffusion approach based on core expanding and local depth traveling in social networks

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Journal Information

Published in International Journal of General Systems, 2023

Asgarali Bouyer, Maryam Sabavand Monfared, Esmaeil Nourani, Bahman Arasteh

DBLP: The DBLP website presents a significant list of research papers in computer science. In this dataset, a network of collaborations among the authors of papers indexed on this site is presented, where each node denotes a researcher, and each edge represents the existence of a common paper (Yang and Leskovec 2015). This database is used to create an actual case, including a journal or conference. Here, the publication type, including journal or conference, is used to create a Ground-Truth. Furthermore, every single component in this dataset is assumed to be a community in the Ground-Truth.

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Features and How to Find Them

Discovering overlapping communities using a new diffusion approach based on core expanding and local depth traveling in social networks