Academic Collaborator Recommendation Based on Attributed Network Embedding

Aziz, F., Gul, H., Muhammad, I., & Uddin, I. (2020). Link prediction using node information on local paths. Physica A: Statistical Mechanics and Its Applications, 557, 124980. doi:10.1016/j.physa.2020.124980. AzizF. GulH. MuhammadI. UddinI. 2020 Link prediction using node information on local paths Physica A: Statistical Mechanics and Its Applications 557 124980. 10.1016/j.physa.2020.124980 Open DOISearch in Google Scholar

Barabási, A., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., & Vicsek, T. (2002). Evolution of the social network of scientific collaborations. Physica A: Statistical Mechanics and Its Applications, 311(3–4), 590–614. doi:10.1016/s0378-4371(02)00736-7. BarabásiA. JeongH. NédaZ. RavaszE. SchubertA. VicsekT. 2002 Evolution of the social network of scientific collaborations Physica A: Statistical Mechanics and Its Applications 311 3–4 590 614 10.1016/s0378-4371(02)00736-7 Open DOISearch in Google Scholar

Blei, D.M., Ng, A.Y., & Jordan, M.I. (2001). Latent dirichlet allocation. In proceedings of Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3–8, 2001, Vancouver, British Columbia, Canada. BleiD.M. NgA.Y. JordanM.I. 2001 Latent dirichlet allocation In proceedings of Neural Information Processing Systems: Natural and Synthetic, NIPS 2001 December 3–8, 2001 Vancouver, British Columbia, Canada Search in Google Scholar

Cen, Y.K., Zou, X., Zhang, J.W., Yang, H.X., Zhou, J.R., & Tang, J. (2019). Representation learning for attributed multiplex heterogeneous network. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. doi:10.1145/3292500.3330964. CenY.K. ZouX. ZhangJ.W. YangH.X. ZhouJ.R. TangJ. 2019 Representation learning for attributed multiplex heterogeneous network In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 10.1145/3292500.3330964 Open DOISearch in Google Scholar

Chen, Y.K., Zhang, J., Fang, Y.X., Cao, X., & King, I. (2020). Efficient community search over large directed graph: An augmented index-based approach. In Proceedings of the 29th International Joint Conference on Artificial Intelligence. doi:10.24963/ijcai.2020/490. ChenY.K. ZhangJ. FangY.X. CaoX. KingI. 2020 Efficient community search over large directed graph: An augmented index-based approach In Proceedings of the 29th International Joint Conference on Artificial Intelligence 10.24963/ijcai.2020/490 Open DOISearch in Google Scholar

Dong, Y., Chawla, N.V., & Swami, A. (2017). Metapath2vec: Scalable representation learning for heterogeneous networks. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. doi:10.1145/3097983.3098036. DongY. ChawlaN.V. SwamiA. 2017 Metapath2vec: Scalable representation learning for heterogeneous networks In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 10.1145/3097983.3098036 Open DOISearch in Google Scholar

Grover, A., & Leskovec, J. (2016). Node2vec. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. doi:10.1145/2939672.2939754. GroverA. LeskovecJ. 2016 Node2vec In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 10.1145/2939672.2939754 510865427853626 Open DOISearch in Google Scholar

Kong, X.J., Jiang, H.Z., Wang, W., Bekele, T.M., Xu, Z.Z., & Wang, M. (2017). Exploring dynamic research interest and academic influence for scientific collaborator recommendation. Scientometrics, 113(1), 369–385. doi:10.1007/s11192-017-2485-9. KongX.J. JiangH.Z. WangW. BekeleT.M. XuZ.Z. WangM. 2017 Exploring dynamic research interest and academic influence for scientific collaborator recommendation Scientometrics 113 1 369 385 10.1007/s11192-017-2485-9 Open DOISearch in Google Scholar

Lee, S., & Bozeman, B. (2005). The impact of research collaboration on scientific productivity. Social Studies of Science, 35(5), 673–702. doi:10.1177/0306312705052359. LeeS. BozemanB. 2005 The impact of research collaboration on scientific productivity Social Studies of Science 35 5 673 702 10.1177/0306312705052359 Open DOISearch in Google Scholar

Liu, Z., Xie, X., & Chen, L. (2018). Context-aware academic collaborator recommendation. KDD 2018, 1870–1879. LiuZ. XieX. ChenL. 2018 Context-aware academic collaborator recommendation. KDD 2018 1870 1879 10.1145/3219819.3220050 Search in Google Scholar

Lopes, G.R., Moro, M.M., Wives, L.K., & Oliveira, J.P. (2010). Collaboration recommendation on academic social networks. Lecture Notes in Computer Science Advances in Conceptual Modeling—Applications and Challenges, 190–199. doi:10.1007/978-3-642-16385-2_24. LopesG.R. MoroM.M. WivesL.K. OliveiraJ.P. 2010 Collaboration recommendation on academic social networks Lecture Notes in Computer Science Advances in Conceptual Modeling—Applications and Challenges 190 199 10.1007/978-3-642-16385-2_24 Open DOISearch in Google Scholar

Lü, L.Y., & Zhou, T. (2011). Link prediction in complex networks: A survey. Physica A: Statistical Mechanics and its Applications, 390(6), 1150–1170. doi:10.1016/j.physa.2010.11.027. LüL.Y. ZhouT. 2011 Link prediction in complex networks: A survey Physica A: Statistical Mechanics and its Applications 390 6 1150 1170 10.1016/j.physa.2010.11.027 Open DOISearch in Google Scholar

Perozzi, B., Al-Rfou, R., & Skiena, S. (2014). DeepWalk. In Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. doi:10.1145/2623330.2623732. PerozziB. Al-RfouR. SkienaS. 2014 DeepWalk In Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 10.1145/2623330.2623732 Open DOISearch in Google Scholar

Salakhutdinov, R., & Hinton, G. (2009). Semantic hashing. International Journal of Approximate Reasoning, 50(7), 969–978. doi:10.1016/j.ijar.2008.11.006. SalakhutdinovR. HintonG. 2009 Semantic hashing International Journal of Approximate Reasoning 50 7 969 978 10.1016/j.ijar.2008.11.006 Open DOISearch in Google Scholar

Shi, C., Hu, B.B., Zhao, W.X., & Yu, P.S. (2019). Heterogeneous information network embedding for recommendation. IEEE Transactions on Knowledge and Data Engineering, 31(2), 357–370. doi:10.1109/TKDE.2018.2833443. ShiC. HuB.B. ZhaoW.X. YuP.S. 2019 Heterogeneous information network embedding for recommendation IEEE Transactions on Knowledge and Data Engineering 31 2 357 370 10.1109/TKDE.2018.2833443 Open DOISearch in Google Scholar

Sinatra, R., Wang, D.S., Deville, P., Song, C., & Barabási, A. (2016). Quantifying the evolution of individual scientific impact. Science, 354(6312). doi:10.1126/science.aaf5239. SinatraR. WangD.S. DevilleP. SongC. BarabásiA. 2016 Quantifying the evolution of individual scientific impact Science 354 6312 10.1126/science.aaf5239 27811240 Open DOISearch in Google Scholar

Sun, X., Yu, Y.B., Liang, Y., Dong, J., Plant, C., & Böhm, C. (2021). Fusing attributed and topological global-relations for network embedding. Information Sciences, 558, 76–90. doi:10.1016/j.ins.2021.01.012. SunX. YuY.B. LiangY. DongJ. PlantC. BöhmC. 2021 Fusing attributed and topological global-relations for network embedding Information Sciences 558 76 90 10.1016/j.ins.2021.01.012 Open DOISearch in Google Scholar

Tang, J., Qu, M., Wang, M.Z., Zhang, M., Yan, J., & Mei, Q.Z. (2015). LINE: Large-scale information network embedding. In Proceedings of the 24th International Conference on World Wide Web. doi:10.1145/2736277.2741093. TangJ. QuM. WangM.Z. ZhangM. YanJ. MeiQ.Z. 2015 LINE: Large-scale information network embedding In Proceedings of the 24th International Conference on World Wide Web 10.1145/2736277.2741093 Open DOISearch in Google Scholar

Wang, W., Yu, S., Bekele, T.M., Kong, X.J., & Xia, F. (2017). Scientific collaboration patterns vary with scholars’ academic ages. Scientometrics, 112(1), 329–343. doi:10.1007/s11192-017-2388-9. WangW. YuS. BekeleT.M. KongX.J. XiaF. 2017 Scientific collaboration patterns vary with scholars’ academic ages Scientometrics 112 1 329 343 10.1007/s11192-017-2388-9 Open DOISearch in Google Scholar

Wang, W., Liu, J.Y., Yang, Z., Kong, X.J., & Xia, F. (2019). Sustainable collaborator recommendation based on conference closure. IEEE Transactions on Computational Social Systems, 6(2), 311–322. doi:10.1109/tcss.2019.2898198. WangW. LiuJ.Y. YangZ. KongX.J. XiaF. 2019 Sustainable collaborator recommendation based on conference closure IEEE Transactions on Computational Social Systems 6 2 311 322 10.1109/tcss.2019.2898198 Open DOISearch in Google Scholar

Wang, W., Liu, J.Y., Tang, T., Tuarob, S., Xia, F., Gong, Z.G., & King, I. (2021). Attributed collaboration network embedding for academic relationship mining. ACM Transactions on the Web, 15(1), 1–20. doi:10.1145/3409736. WangW. LiuJ.Y. TangT. TuarobS. XiaF. GongZ.G. KingI. 2021 Attributed collaboration network embedding for academic relationship mining ACM Transactions on the Web 15 1 1 20 10.1145/3409736 Open DOISearch in Google Scholar

Wang, D.X., Cui, P., & Zhu, W.W. (2016). Structural deep network embedding. KDD. 1225–1234. doi:http://dx.doi.org/10.1145/2939672.2939753. WangD.X. CuiP. ZhuW.W. 2016 Structural deep network embedding. KDD 1225 1234 doi:http://dx.doi.org/10.1145/2939672.2939753 10.1145/2939672.2939753 Search in Google Scholar

Xia, F., Wang, W., Bekele, T.M., & Liu, H. (2017). Big scholarly data: A Survey. IEEE Transactions on Big Data, 3(1), 18–35. doi:10.1109/tbdata.2016.2641460. XiaF. WangW. BekeleT.M. LiuH. 2017 Big scholarly data: A Survey IEEE Transactions on Big Data 3 1 18 35 10.1109/tbdata.2016.2641460 Open DOISearch in Google Scholar

Xia, F., Chen, Z., Wang, W., Li, J., & Yang, L.T. (2014). MVCWalker: Random walk-based most valuable collaborators recommendation exploiting academic factors. IEEE Transactions on Emerging Topics in Computing, 2(3), 364–375. doi:10.1109/tetc.2014.2356505. XiaF. ChenZ. WangW. LiJ. YangL.T. 2014 MVCWalker: Random walk-based most valuable collaborators recommendation exploiting academic factors IEEE Transactions on Emerging Topics in Computing 2 3 364 375 10.1109/tetc.2014.2356505 Open DOISearch in Google Scholar

Yang, C., Liu, Z.Y., Sun, M.S., Zhao, D.L., & Chang, E. (2015). Network representation learning with rich text information. In Proceedings of the 24th International Conference on Artificial Intelligence. 2111–2117. YangC. LiuZ.Y. SunM.S. ZhaoD.L. ChangE. 2015 Network representation learning with rich text information In Proceedings of the 24th International Conference on Artificial Intelligence 2111 2117 Search in Google Scholar

Zhang, C.Y., Wu, X.Q., Yan, W., Wang, L.K., & Zhang, L. (2020). Attribute-aware graph recurrent networks for scholarly friend recommendation based on Internet of scholars in scholarly big data. IEEE Transactions on Industrial Informatics, 16(4), 2707–2715. doi:10.1109/tii.2019.2947066. ZhangC.Y. WuX.Q. YanW. WangL.K. ZhangL. 2020 Attribute-aware graph recurrent networks for scholarly friend recommendation based on Internet of scholars in scholarly big data IEEE Transactions on Industrial Informatics 16 4 2707 2715 10.1109/tii.2019.2947066 Open DOISearch in Google Scholar

Zhang, H.M., Qiu, L.W., Yi, L.L., & Song, Y.Q. (2018). Scalable multiplex network embedding. In Proceedings of the 27th International Joint Conference on Artificial Intelligence. doi:10.24963/ijcai.2018/428. ZhangH.M. QiuL.W. YiL.L. SongY.Q. 2018 Scalable multiplex network embedding In Proceedings of the 27th International Joint Conference on Artificial Intelligence 10.24963/ijcai.2018/428 Open DOISearch in Google Scholar

Zhou, X.K., Liang, W., Wang, K.I., Huang, R.H., & Jin, Q. (2021). Academic influence aware and multidimensional network analysis for research collaboration navigation based on scholarly big data. IEEE Transactions on Emerging Topics in Computing, 9(1), 246–257. doi:10.1109/tetc.2018.2860051. ZhouX.K. LiangW. WangK.I. HuangR.H. JinQ. 2021 Academic influence aware and multidimensional network analysis for research collaboration navigation based on scholarly big data IEEE Transactions on Emerging Topics in Computing 9 1 246 257 10.1109/tetc.2018.2860051 Open DOISearch in Google Scholar

Zhou, X., Ding, L.X., Li, Z.K., & Wan, R.Z. (2017). Collaborator recommendation in heterogeneous bibliographic networks using random walks. Information Retrieval Journal, 20(4), 317–337. doi:10.1007/s10791-017-9300-3. ZhouX. DingL.X. LiZ.K. WanR.Z. 2017 Collaborator recommendation in heterogeneous bibliographic networks using random walks Information Retrieval Journal 20 4 317 337 10.1007/s10791-017-9300-3 Open DOISearch in Google Scholar