Generating Evolving Property Graphs with Attribute-Aware Preferential Attachment

Generating Evolving Property Graphs with Attribute-Aware Preferential Attachment
复制标题

使用属性感知优先附件生成演化属性图

DOI:
10.1145/3209950.3209954
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发表时间:
2017
期刊:
DBTest'18 Proceedings of the Workshop on Testing Database Systems
影响因子:
--
通讯作者:
Stoyanovich, Julia
Stoyanovich, Julia
中科院分区:
--
文献类型:
--
作者:
Aghasadeghi, Amir;Stoyanovich, Julia

文献摘要

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In recent years there has been significant interest in evolutionary analysis of large-scale networks. Researchers study network evolution rate and mechanisms, the impact of specific events on evolution, and spatial and spatio-temporal patterns. To support data scientists who are studying network evolution, there is a need to develop scalable and generalizable systems. Tangible systems progress in turn depends on the availability of standardized datasets on which performance can be tested.In this work, we make progress towards a data generator for evolving property graphs, which represent evolution of graph topology, and of vertex and edge attributes. We propose an attribute-based model of preferential attachment, and instantiate this model on a co-authorship network derived from DBLP, with attributes representing publication venues of the authors. We show that this attribute-based model predicts which edges are created more accurately than a structure-only model. Finally, we demonstrate that synthetic graphs are indeed useful for evaluating performance of evolving graph query primitives.
时态图代数
DOI: --
发表时间: 2017
期刊: International Workshop/Symposium on Database Programming Languages
影响因子: --
作者:
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影响因子: 2.7
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期刊:
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DOI: --
发表时间: 2010
期刊: Trans. Comp. Sys. Biology
影响因子: --
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DOI: --
发表时间: 2009
期刊: Encyclopedia of Database Systems
影响因子: --
作者:
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