Forbidden Nodes Aware Community Search
Authors: Chaokun Wang, Junchao Zhu758-765
AAAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | In this section, extensive experiments are conducted on real data sets to evaluate the three proposed algorithms for the problem of forbidden nodes aware community search, i.e., k-core based FORTE, k-truss based FORTE and CW based FORTE. |
| Researcher Affiliation | Academia | Chaokun Wang, Junchao Zhu School of Software, Tsinghua University, Beijing 100084, China chaokun@tsinghua.edu.cn, zhu-jc17@mails.tsinghua.edu.cn |
| Pseudocode | Yes | Algorithm 1 k-core based FORTE, Algorithm 2 k-truss based FORTE, Algorithm 3 CW based FORTE |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described, nor does it explicitly state that the code is being released. |
| Open Datasets | Yes | The data sets are downloaded from the Stanford Large Network Data set Collection (http://snap.stanford.edu/data/). |
| Dataset Splits | No | The paper does not provide specific training/validation/test dataset splits. It mentions using 'ground truth communities' and 'test cases' but not in the context of defined splits like percentages or counts. |
| Hardware Specification | Yes | The experiments are conducted on a Server with Intel Xeon E5-2650 2.0 GHZ and 256 GB main memory. The Operation System is Windows Server 2008. |
| Software Dependencies | No | The paper states 'All the codes are implemented using Python 3.6.1.' but does not list specific version numbers for any libraries, frameworks, or self-contained solvers used in the implementation. |
| Experiment Setup | Yes | As for parameters, we set the threshold λ in CW based FORTE to 0.54 according to Figure 3, which presents the f-measure changes from 0.51 to 0.69 on the DBLP data set. The parameter k in the k-core based FORTE is tested from 2 to 10, and then the largest k with valid results is remained, which varies among different tests. |