Journal of Shandong University(Engineering Science) ›› 2022, Vol. 52 ›› Issue (2): 31-40.doi: 10.6040/j.issn.1672-3961.0.2021.279

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Influence maximization of heterogeneous networks based on TOPSIS

GUO Maolin1, BAO Chongming2, ZHOU Lihua1, DING Tao3, KONG Bing1*   

  1. 1. School of Information, Yunnan University, Kunming 650504, Yunnan, China;
    2. School of Software, Yunnan University, Kunming 650504, Yunnan, China;
    3. Yunnan Provincial Academy of Science and Technology, Kunming 650228, Yunnan, China
  • Published:2022-04-20

CLC Number: 

  • TP391
[1] CHEUNG Man Yee, LUO Chuan, CHEN Huaping. Credibility of electronic word-of-mouth: informational and normativedeterminantsof on-line consumer recommendations[J]. International Journal of Electronic Commerce, 2009, 13(4):9-38.
[2] CHEN W, WANG C, WANG Y. Scalable influence maximization for prevalent viral marketing in large-scale social networks[C] //Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Washington, USA: ACM Press, 2010: 25-28.
[3] PIERRE Fraigniaud, EMANUELE Natale. Noisy rumor spreading and plurality consensus[J]. Distributed Computing, 2019, 32(4): 257-276.
[4] ANDREW J Flanagin. Online social influence and the convergence of mass and interpersonal communication[J]. Human Communication Research, 2017, 43(4): 4.
[5] PENG Sancheng, YANG Aimin, CAO Lihong, et al. Social influence modeling using information theory in mobile social networks[J]. Information Sciences, 2016, 379: 146-159.
[6] MO Hongming, DENG Yong. Identifying node importance based on evidence theory in complex networks[J]. Physica A: Statistical Mechanics and its Applications, 2019, 529: 121538.
[7] YANG Hanxin, WANG Wenxu, LAI Yingcheng, et al. Control of epidemic spreading on complex networks by local traffic dynamics[J]. Physical Review E: Statistical, nonlinear and soft matter physics, 2011, 84(4): 045101.
[8] FEI Liguo, ZHANG Qi, DENG Yong. Identifying influential nodes in complex networks based on the inverse-square law[J]. Physica A: Statistical Mechanics and its Applications, 2018, 512: 1044-1059.
[9] HUANG Dawen, YU Zuguo. Dynamic-sensitive centrality of nodes in temporal networks[J]. Scientific Reports, 2017, 7: 41454.
[10] MOLAEI S, FARAHBAKHSH R, SALEHI M, et al. Identifying influential nodes in heterogeneous networks[J]. Expert Systems with Applications, 2020, 160: 113580.
[11] WANG Zhixiao, ZHAO Ya, XI Jingke, et al. Fast ranking influential nodes in complex networks using a k-shell iteration factor[J]. Physica A: Statistical Mechanics and its Applications, 2016, 461: 171-181.
[12] ZAREIE Ahmad, SHEIKHAHMADI Amir. A hierarchical approach for influential node ranking in complex social networks[J]. Expert Systems with Applications, 2017, 93: 200-211.
[13] ZAREIE Ahmad, SHEIKHAHMADI Amir, FATEMI Adel. Influential nodes ranking in complex networks: an entropy-based approach[J]. Chaos Solitons and Fractals, 2017, 104: 485-494.
[14] ZAREIE Ahmad, SHEIKHAHMADI Amir, KHAMFOROOSH K. Influence maximization in social networks based on TOPSIS[J]. Expert Systems With Appli-cations, 2018, 108:96-107.
[15] HWANG C L, YOON K. Multiple attribute decision making[J]. Lecture Notes in Economics and Mathe-matical Systems, 1981, 404(4):287-288.
[16] DELGARM N, SAJADI B, DELGARM S, et al. Multi-objective optimization of building energy performance and indoor thermal comfort: a new method using artificial bee colony(ABC)[J]. Building Energy Efficiency, 2016, 11: 82.
[17] HU J, DU Y, MO H, et al. A modified weighted TOPSIS to identify influential nodes in complex networks[J]. Physica A: Statistical Mechanics andits Applications, 2016, 444: 73-85.
[18] JI H, SHI C, BAI W. Attention based meta path fusion for heterogeneous information network embedding[C] //Pacific Rim International Conference on Artificial Intelligence.Switzerland, Cham:PRICAI Press, 2018: 348-360.
[19] LIU Lu, TANG Jie, HAN Jiawei, et al. Learning influence from heterogeneous social networks[J]. Data Mining and Knowledge Discovery, 2012, 25(3): 511-544.
[20] MOLAEI Soheila, FARAHBAKHSH Reza, SALEHI Mostafa, et al. Identifying influential nodes in heterogeneous networks[J]. Expert Systems with Applications, 2020, 160: 113580.
[21] SHI C, HU B, ZHAO X, et al. Heterogeneous information network embedding for recommendation[J]. IEEE Transactions on Knowledge & Data Engineering, 2019, 31(2): 357-370.
[22] SHANNON C E. A mathematical theory of comm-unication[J]. Bell Systems Technical Journal, 1948, 27(4): 623-656.
[23] ASSARI Ali, MAHESH T M, ASSARI Erfan. Role of public participation in sustainability of historical city: usage of TOPSIS method[J]. Indian Journal of Science and Technology, 2012, 5(3): 2289-2294.
[24] SUN Y, HAN J, YAN X, et al. PathSim: meta path-based Top-K similarity search in heterogeneous information networks[C] //Proceedings of the 37th International Conference on Very Large Data Bases. Seattle, USA:VLDB Press, 2011, 4(11): 992-1003.
[25] SUN Y, HAN J, GAO J, et al. TopicModel: information network-integrated topic modeling[C] //Ninth IEEE International Conference on Data Mining. Florida, USA:IEEE Press, 2009: 493-502.
[26] DAVIS A, GARDNER B B, GARDNER M R, et al. Deep south: asocial anthropological study of caste and class[J]. American Journal of Sociology, 1941, 2(3): 117-118.
[27] KEMPE D. Maximizing the spread of influence through a social network[C] //Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Washington, USA:ACM Press, 2003: 137-146.
[28] BRIN Sergey, PAGE Lawrence. The anatomy of a large-scale hypertextual web search engine[J]. Computer Networks and ISDN Systems, 1998, 30(1): 107-117.
[29] LESKOVEC Jure, KRAUSE Andreas, GUESTRIN Carlos, et al. Cost-effective outbreak detection in networks[C] //Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Jose, USA: ACM Press, 2007: 420-429.
[30] KITSAK M, GALLOS L K, HAVLIN S, et al. Identification of influential spreaders in complex networks[J]. Nature Physics, 2010, 6: 888-893.
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