Order based algorithms for the core maintenance problem on edge-weighted graphs
The cohesive subgraph k-core is a maximal connected subgraph with the minimum degree δ≥k of a simple graph, where integer k≥0. Define the core number of a vertex w as the maximum k such that w is contained in a k-core. The core decomposition problem which is calculating the core numbers of all verti...
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| Published in | Theoretical computer science Vol. 941; pp. 140 - 155 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
04.01.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0304-3975 1879-2294 |
| DOI | 10.1016/j.tcs.2022.11.008 |
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| Abstract | The cohesive subgraph k-core is a maximal connected subgraph with the minimum degree δ≥k of a simple graph, where integer k≥0. Define the core number of a vertex w as the maximum k such that w is contained in a k-core. The core decomposition problem which is calculating the core numbers of all vertices in static graphs, and the core maintenance problem which is updating the core numbers in dynamic graphs are our main concern. Although, core numbers can be updated by the core decomposition algorithms, only a small part of vertices' core numbers have changed after the change of a graph. Thus, it is necessary to update core numbers locally to reduce the cost. In this paper, we study the core maintenance problem on edge-weighted graphs by using the vertex sequence k-order which is ordered by the order that the core decomposition algorithm removes vertices. We design the core maintenance algorithms for inserting one edge at a time and the method of updating the k-order, which reduce the searching range and the time cost evidently. For the removing case, we use the existing subcore algorithm to do the core maintenance and modify it with the method of updating k-order we design. Finally, we do extensive experiments to evaluate the effectiveness and the efficiency of our algorithms, which shows that the order based algorithm has a better performance than the existing for the core maintenance on edge-weighted graphs.
•We solve the core maintenance problem on edge-weighted graphs with a tool named weighted k-order.•The weighted k-order, a vertex sequence, is defined on edge-weighted graphs for the first time.•We give the properties of vertices whose core numbers increase on the k-order for inserting case on edge-weighted graphs.•The order based core maintenance algorithm for inserting case on edge-weighted graphs is given, which is the best.•We give the methods to update the k-order after inserting or removing one edge for the next core maintenance. |
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| AbstractList | The cohesive subgraph k-core is a maximal connected subgraph with the minimum degree δ≥k of a simple graph, where integer k≥0. Define the core number of a vertex w as the maximum k such that w is contained in a k-core. The core decomposition problem which is calculating the core numbers of all vertices in static graphs, and the core maintenance problem which is updating the core numbers in dynamic graphs are our main concern. Although, core numbers can be updated by the core decomposition algorithms, only a small part of vertices' core numbers have changed after the change of a graph. Thus, it is necessary to update core numbers locally to reduce the cost. In this paper, we study the core maintenance problem on edge-weighted graphs by using the vertex sequence k-order which is ordered by the order that the core decomposition algorithm removes vertices. We design the core maintenance algorithms for inserting one edge at a time and the method of updating the k-order, which reduce the searching range and the time cost evidently. For the removing case, we use the existing subcore algorithm to do the core maintenance and modify it with the method of updating k-order we design. Finally, we do extensive experiments to evaluate the effectiveness and the efficiency of our algorithms, which shows that the order based algorithm has a better performance than the existing for the core maintenance on edge-weighted graphs.
•We solve the core maintenance problem on edge-weighted graphs with a tool named weighted k-order.•The weighted k-order, a vertex sequence, is defined on edge-weighted graphs for the first time.•We give the properties of vertices whose core numbers increase on the k-order for inserting case on edge-weighted graphs.•The order based core maintenance algorithm for inserting case on edge-weighted graphs is given, which is the best.•We give the methods to update the k-order after inserting or removing one edge for the next core maintenance. |
| Author | Liu, Bin Liu, Zhenming Fang, Qizhi Zhang, Feiteng |
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| References | Yu, Wang, Luo, Li, Yu, Cheng, Cai (br0240) 2021 Zhou, Liu, Yu, Liang, Zhang (br0270) 2014 Peng, Zhang, Zhang, Lin, Qin (br0200) 2018 Hua, Shi, Yu, Jin, Yu, Cai, Cheng, Chen (br0100) 2019; 31 Ding, Li, Huang, Mamoulis (br0080) 2017 Luo, Yu, Cheng, Cai, Yu, Lv (br0170) 2020; 7 Jin, Wang, Yu, Hua, Shi, Xie (br0130) 2018; 29 Bonchi, Gullo, Kaltenbrunner, Volkovich (br0040) 2014 Sariyüce, Gedik, Jacques-Silva, Wu, Çatalyürek (br0210) 2016; 25 Barbieri, Bonchi, Galimberti, Gullo (br0020) 2015; 29 Wang, Cheng (br0230) 2012; 5 Batagelj, Zaversnik (br0030) 2003 Cheng, Ke, Chu, Özsu (br0060) 2011 Li, Yu, Mao (br0140) 2013; 26 Seidman (br0220) 1983; 5 Liu, Zhang (br0150) 2020; 8 Cheng, Lu, Wang (br0050) 2013 Huang, Cheng, Qin, Tian, Yu (br0110) 2014 Zhang, Zhang, Qin, Zhang, Lin (br0260) 2017; 10 Bader, Hogue (br0010) 2003; 4 Cohen (br0070) 2008 Mandal, Al Hasan (br0180) 2017 Jakma, Orczyk, Perkins, Fayed (br0120) 2012 Zhang, Yu, Zhang, Qin (br0250) 2017 Papadopoulos, Kompatsiaris, Vakali, Spyridonos (br0190) 2012; 24 Galimberti, Bonchi, Gullo (br0090) 2017 Galimberti (10.1016/j.tcs.2022.11.008_br0090) 2017 Peng (10.1016/j.tcs.2022.11.008_br0200) 2018 Sariyüce (10.1016/j.tcs.2022.11.008_br0210) 2016; 25 Zhou (10.1016/j.tcs.2022.11.008_br0270) Wang (10.1016/j.tcs.2022.11.008_br0230) 2012; 5 Yu (10.1016/j.tcs.2022.11.008_br0240) 2021 Zhang (10.1016/j.tcs.2022.11.008_br0250) 2017 Seidman (10.1016/j.tcs.2022.11.008_br0220) 1983; 5 Bader (10.1016/j.tcs.2022.11.008_br0010) 2003; 4 Ding (10.1016/j.tcs.2022.11.008_br0080) 2017 Huang (10.1016/j.tcs.2022.11.008_br0110) 2014 Papadopoulos (10.1016/j.tcs.2022.11.008_br0190) 2012; 24 Jakma (10.1016/j.tcs.2022.11.008_br0120) 2012 Luo (10.1016/j.tcs.2022.11.008_br0170) 2020; 7 Zhang (10.1016/j.tcs.2022.11.008_br0260) 2017; 10 Hua (10.1016/j.tcs.2022.11.008_br0100) 2019; 31 Li (10.1016/j.tcs.2022.11.008_br0140) 2013; 26 Liu (10.1016/j.tcs.2022.11.008_br0150) 2020; 8 Barbieri (10.1016/j.tcs.2022.11.008_br0020) 2015; 29 Bonchi (10.1016/j.tcs.2022.11.008_br0040) 2014 Mandal (10.1016/j.tcs.2022.11.008_br0180) 2017 Batagelj (10.1016/j.tcs.2022.11.008_br0030) Cheng (10.1016/j.tcs.2022.11.008_br0050) 2013 Cohen (10.1016/j.tcs.2022.11.008_br0070) 2008 Jin (10.1016/j.tcs.2022.11.008_br0130) 2018; 29 Cheng (10.1016/j.tcs.2022.11.008_br0060) 2011 |
| References_xml | – start-page: 1311 year: 2014 end-page: 1322 ident: br0110 article-title: Querying k-truss community in large and dynamic graphs publication-title: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data – volume: 24 start-page: 515 year: 2012 end-page: 554 ident: br0190 article-title: Community detection in social media publication-title: Data Min. Knowl. Discov. – start-page: 51 year: 2011 end-page: 62 ident: br0060 article-title: Efficient core decomposition in massive networks publication-title: 27th International Conference on Data Engineering (ICDE) – start-page: 39 year: 2012 end-page: 40 ident: br0120 article-title: Distributed publication-title: Proceedings of the 2012 ACM Conference on CoNEXT Student Workshop – year: 2008 ident: br0070 article-title: Trusses: Cohesive subgraphs for social network analysis – year: 2003 ident: br0030 article-title: An O(m) algorithm for cores decomposition of networks – volume: 7 start-page: 1435 year: 2020 end-page: 1446 ident: br0170 article-title: Batch processing for truss maintenance in large dynamic graphs publication-title: IEEE Trans. Comput. Soc. Syst. – start-page: 9 year: 2013 end-page: 15 ident: br0050 article-title: Local k-core clustering for gene networks publication-title: 2013 IEEE International Conference on Bioinformatics and Biomedicine – volume: 29 start-page: 1406 year: 2015 end-page: 1433 ident: br0020 article-title: Efficient and effective community search publication-title: Data Min. Knowl. Discov. – volume: 25 start-page: 425 year: 2016 end-page: 447 ident: br0210 article-title: Incremental k-core decomposition: algorithms and evaluation publication-title: VLDB J. – volume: 4 start-page: 1 year: 2003 end-page: 27 ident: br0010 article-title: An automated method for finding molecular complexes in large protein interaction networks publication-title: BMC Bioinform. – start-page: 337 year: 2017 end-page: 348 ident: br0250 article-title: A fast order-based approach for core maintenance publication-title: 2017 IEEE 33rd International Conference on Data Engineering (ICDE) – volume: 5 start-page: 812 year: 2012 end-page: 823 ident: br0230 article-title: Truss decomposition in massive networks publication-title: Proc. VLDB Endow. – start-page: 976 year: 2017 end-page: 981 ident: br0180 article-title: A distributed k-core decomposition algorithm on spark publication-title: 2017 IEEE International Conference on Big Data (Big Data) – volume: 10 start-page: 998 year: 2017 end-page: 1009 ident: br0260 article-title: When engagement meets similarity: efficient publication-title: Proc. VLDB Endow. – start-page: 1807 year: 2017 end-page: 1816 ident: br0090 article-title: Core decomposition and densest subgraph in multilayer networks publication-title: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management – year: 2021 ident: br0240 article-title: Fast core maintenance in dynamic graphs publication-title: IEEE Trans. Comput. Soc. Syst. – volume: 5 start-page: 269 year: 1983 end-page: 287 ident: br0220 article-title: Network structure and minimum degree publication-title: Soc. Netw. – start-page: 2047 year: 2017 end-page: 2050 ident: br0080 article-title: Efficient fault-tolerant group recommendation using alpha-beta-core publication-title: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management – start-page: 1316 year: 2014 end-page: 1325 ident: br0040 article-title: Core decomposition of uncertain graphs publication-title: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining – volume: 29 start-page: 2416 year: 2018 end-page: 2428 ident: br0130 article-title: Core maintenance in dynamic graphs: a parallel approach based on matching publication-title: IEEE Trans. Parallel Distrib. Syst. – volume: 8 start-page: 63872 year: 2020 end-page: 63884 ident: br0150 article-title: Incremental algorithms of the core maintenance problem on edge-weighted graphs publication-title: IEEE Access – volume: 26 start-page: 2453 year: 2013 end-page: 2465 ident: br0140 article-title: Efficient core maintenance in large dynamic graphs publication-title: IEEE Trans. Knowl. Data Eng. – year: 2014 ident: br0270 article-title: Efficient truss maintenance in evolving networks – volume: 31 start-page: 1287 year: 2019 end-page: 1300 ident: br0100 article-title: Faster parallel core maintenance algorithms in dynamic graphs publication-title: IEEE Trans. Parallel Distrib. Syst. – start-page: 1192 year: 2018 end-page: 1203 ident: br0200 article-title: Efficient probabilistic k-core computation on uncertain graphs publication-title: 2018 IEEE 34th International Conference on Data Engineering (ICDE) – start-page: 1192 year: 2018 ident: 10.1016/j.tcs.2022.11.008_br0200 article-title: Efficient probabilistic k-core computation on uncertain graphs – start-page: 39 year: 2012 ident: 10.1016/j.tcs.2022.11.008_br0120 article-title: Distributed k-core decomposition of dynamic graphs – volume: 5 start-page: 269 issue: 3 year: 1983 ident: 10.1016/j.tcs.2022.11.008_br0220 article-title: Network structure and minimum degree publication-title: Soc. Netw. doi: 10.1016/0378-8733(83)90028-X – year: 2021 ident: 10.1016/j.tcs.2022.11.008_br0240 article-title: Fast core maintenance in dynamic graphs publication-title: IEEE Trans. Comput. Soc. Syst. – start-page: 1316 year: 2014 ident: 10.1016/j.tcs.2022.11.008_br0040 article-title: Core decomposition of uncertain graphs – start-page: 1807 year: 2017 ident: 10.1016/j.tcs.2022.11.008_br0090 article-title: Core decomposition and densest subgraph in multilayer networks – volume: 4 start-page: 1 issue: 1 year: 2003 ident: 10.1016/j.tcs.2022.11.008_br0010 article-title: An automated method for finding molecular complexes in large protein interaction networks publication-title: BMC Bioinform. doi: 10.1186/1471-2105-4-2 – year: 2008 ident: 10.1016/j.tcs.2022.11.008_br0070 – start-page: 976 year: 2017 ident: 10.1016/j.tcs.2022.11.008_br0180 article-title: A distributed k-core decomposition algorithm on spark – start-page: 1311 year: 2014 ident: 10.1016/j.tcs.2022.11.008_br0110 article-title: Querying k-truss community in large and dynamic graphs – volume: 7 start-page: 1435 issue: 6 year: 2020 ident: 10.1016/j.tcs.2022.11.008_br0170 article-title: Batch processing for truss maintenance in large dynamic graphs publication-title: IEEE Trans. Comput. Soc. Syst. doi: 10.1109/TCSS.2020.3026574 – ident: 10.1016/j.tcs.2022.11.008_br0030 – start-page: 51 year: 2011 ident: 10.1016/j.tcs.2022.11.008_br0060 article-title: Efficient core decomposition in massive networks – volume: 10 start-page: 998 issue: 10 year: 2017 ident: 10.1016/j.tcs.2022.11.008_br0260 article-title: When engagement meets similarity: efficient (k,r)-core computation on social networks publication-title: Proc. VLDB Endow. doi: 10.14778/3115404.3115406 – start-page: 2047 year: 2017 ident: 10.1016/j.tcs.2022.11.008_br0080 article-title: Efficient fault-tolerant group recommendation using alpha-beta-core – ident: 10.1016/j.tcs.2022.11.008_br0270 – start-page: 337 year: 2017 ident: 10.1016/j.tcs.2022.11.008_br0250 article-title: A fast order-based approach for core maintenance – volume: 24 start-page: 515 issue: 3 year: 2012 ident: 10.1016/j.tcs.2022.11.008_br0190 article-title: Community detection in social media publication-title: Data Min. Knowl. Discov. doi: 10.1007/s10618-011-0224-z – start-page: 9 year: 2013 ident: 10.1016/j.tcs.2022.11.008_br0050 article-title: Local k-core clustering for gene networks – volume: 29 start-page: 1406 issue: 5 year: 2015 ident: 10.1016/j.tcs.2022.11.008_br0020 article-title: Efficient and effective community search publication-title: Data Min. Knowl. Discov. doi: 10.1007/s10618-015-0422-1 – volume: 26 start-page: 2453 issue: 10 year: 2013 ident: 10.1016/j.tcs.2022.11.008_br0140 article-title: Efficient core maintenance in large dynamic graphs publication-title: IEEE Trans. Knowl. Data Eng. doi: 10.1109/TKDE.2013.158 – volume: 8 start-page: 63872 year: 2020 ident: 10.1016/j.tcs.2022.11.008_br0150 article-title: Incremental algorithms of the core maintenance problem on edge-weighted graphs publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2985327 – volume: 25 start-page: 425 issue: 3 year: 2016 ident: 10.1016/j.tcs.2022.11.008_br0210 article-title: Incremental k-core decomposition: algorithms and evaluation publication-title: VLDB J. doi: 10.1007/s00778-016-0423-8 – volume: 5 start-page: 812 issue: 9 year: 2012 ident: 10.1016/j.tcs.2022.11.008_br0230 article-title: Truss decomposition in massive networks publication-title: Proc. VLDB Endow. doi: 10.14778/2311906.2311909 – volume: 29 start-page: 2416 issue: 11 year: 2018 ident: 10.1016/j.tcs.2022.11.008_br0130 article-title: Core maintenance in dynamic graphs: a parallel approach based on matching publication-title: IEEE Trans. Parallel Distrib. Syst. doi: 10.1109/TPDS.2018.2835441 – volume: 31 start-page: 1287 issue: 6 year: 2019 ident: 10.1016/j.tcs.2022.11.008_br0100 article-title: Faster parallel core maintenance algorithms in dynamic graphs publication-title: IEEE Trans. Parallel Distrib. Syst. doi: 10.1109/TPDS.2019.2960226 |
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| Title | Order based algorithms for the core maintenance problem on edge-weighted graphs |
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