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| Content Provider | Springer Nature Link |
|---|---|
| Author | Sarıyüce, Ahmet Erdem Gedik, Buğra Jacques Silva, Gabriela Wu, Kun Lung Çatalyürek, Ümit V. |
| Copyright Year | 2016 |
| Abstract | A k-core of a graph is a maximal connected subgraph in which every vertex is connected to at least k vertices in the subgraph. k-core decomposition is often used in large-scale network analysis, such as community detection, protein function prediction, visualization, and solving NP-hard problems on real networks efficiently, like maximal clique finding. In many real-world applications, networks change over time. As a result, it is essential to develop efficient incremental algorithms for dynamic graph data. In this paper, we propose a suite of incremental k-core decomposition algorithms for dynamic graph data. These algorithms locate a small subgraph that is guaranteed to contain the list of vertices whose maximum k-core values have changed and efficiently process this subgraph to update the k-core decomposition. We present incremental algorithms for both insertion and deletion operations, and propose auxiliary vertex state maintenance techniques that can further accelerate these operations. Our results show a significant reduction in runtime compared to non-incremental alternatives. We illustrate the efficiency of our algorithms on different types of real and synthetic graphs, at varying scales. For a graph of 16 million vertices, we observe relative throughputs reaching a million times, relative to the non-incremental algorithms. |
| Starting Page | 425 |
| Ending Page | 447 |
| Page Count | 23 |
| File Format | |
| ISSN | 10668888 |
| Journal | The VLDB Journal |
| Volume Number | 25 |
| Issue Number | 3 |
| e-ISSN | 0949877X |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2016-02-15 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | k-Core Streaming graph algorithms Dense subgraph discovery Incremental graph algorithms Database Management |
| Content Type | Text |
| Resource Type | Article |
| Subject | Information Systems Hardware and Architecture |
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