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Yang Zhang 0055

dblp:06/6785-55 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
0000-0002-1534-010XORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Web and social media mining · 50% Data mining · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%
Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining › structured data mining › graph mining › network structure analysis
core-periphery structure
0.212015
Citation Networks and the Emergence of Knowledge Core · IEEE Trans. Knowl. Data Eng. 2015
Web and social media mining › social network analysis
network formation
0.212015
Citation Networks and the Emergence of Knowledge Core · IEEE Trans. Knowl. Data Eng. 2015
Mathematical optimization › constrained optimization
network utility maximization
0.112015
Citation Networks and the Emergence of Knowledge Core · IEEE Trans. Knowl. Data Eng. 2015

Methods — techniques the papers use, named apart from their topics

agent-based simulation · 0.7
YearPublicationVenuePosition
2015 Citation Networks and the Emergence of Knowledge Core
abstract
Observations on the citation networks often confirm a core-periphery structure: A clustered group of artifacts possess the core knowledge to the field, which is widely cited by artifacts at periphery. We explain this as an outcome resulted from decentralized knowledge contributions from individuals who maximize their own utilities. Our model sheds insights on how knowledge creation, knowledge citation, and knowledge heterogeneity affect the emergence of knowledge core, in both cases of direct and indirect citations. We find through simulations that the core-periphery architecture of citation networks is robust to generalizations on knowledge heterogeneity and knowledge creativity. By studying the incentive rationale that underlies the growth of citation networks, our research has potential implications on the design and administration of intellectual communities.
Yang Zhang 0055, Chi Zhang 0005
IEEE Trans. Knowl. Data Eng.1