Computer Science ›› 2016, Vol. 43 ›› Issue (4): 252-255, 263.doi: 10.11896/j.issn.1002-137X.2016.04.051

Previous Articles     Next Articles

Analysis of Social Media Networks Based on Deep Neural Networks

ZHANG Yan-hong and WANG Bao-hui   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Social media networks include not only multi-modal data,such as users,text,images,video,and so on,but also collective effect between data of different modals.In order to better describe social media networks and provide better services for applications,this paper proposed a deep neural network based social media network model.The proposed model models data of each single modal with a deep neural network,and then gets a latent feature representation for each modal data.For data between two different modals,a Gaussian distributed prior matrix and two posterior distributions of different modals were applied to build a generative model that describes the collective effect between two diffe-rent modals.The experiments show that the proposed model has better prediction performance in link analysis of networks than related works,and can describe the whole underlying social media network effectively.

Key words: Deep learning,Neural networks,Social media network,Feature learning,Link prediction

[1] Ellison N B.Social network sites:Definition,history,and scho-larship[J].Journal of Computer-Mediated Communication,2007,13(1):210-230
[2] Wei Jian-liang,Ju Chun-hua.Research on User CollaborationModel Based on Social Tagging[J].Journal of the China Society for Scientific and Technical Information,2012,1(3):281-288(in Chinese) 魏建良,琚春华.基于社会化标注的用户协同模型研究 [J].情报学报,2012,31(3):281-288
[3] Wang W,Ooi B C,Yang X,et al.Effective multi-modal retrieval based on stacked auto-encoders[J].Proceedings of the VLDB Endowment,2014,7(8):649-660
[4] Gao Ming,Jin Che-qing,Qian Wei-ning,et al.Real-time and Personalized Recommendation on MicroBlogging Systems[J].Chinese Journal of Computers,2014,7(4):963-975(in Chinese) 高明,金澈清,钱卫宁,等.面向微博系统的实时个性化推荐[J].计算机学报,2014,37(4):963-975
[5] Farahat A,Bailey M C.How effective is targeted advertising?[C]∥Proceedings of the 21st International Conference on World Wide Web.ACM,2012:111-120
[6] Liang Y,Caverlee J,Cao C.A Noise-Filtering Approach for Spatio-temporal Event Detection in Social Media[M]∥Advances in Information Retrieval.Springer International Publishing,2015:233-244
[7] Song J,Wang Y,Wu F,et al.Multi-modal Retrieval via Deep Textual-Visual Correlation Learning[M]∥ Intelligence Science and Big Data Engineering.Image and Video Data Engineering.Springer International Publishing,2015:176-185
[8] Kim Y,Hsu S H,de Zúiga H G.Influence of social media useon discussion network heterogeneity and civic engagement:The moderating role of personality traits[J].Journal of Communication,2013,63(3):498-516
[9] Wang Lian-xi.A Literature Review on Pre-processing and Lear-ning of Microtext[J].Library and Information Service,2013,7(11):125-131(in Chinese) 王连喜.微博短文本预处理及学习研究综述[J].图书情报工作,2013,57(11):125-131
[10] Uysal M S,Beecks C,Seidl T.On efficient content-based near-duplicate video detection[C]∥2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI).IEEE,2015:1-6
[11] Liu J,Li Z,Tang J,et al.Personalized Geo-Specific Tag Recommendation for Photos on Social Websites[J].IEEE Transactions on Multimedia,2014,16(3):588-600
[12] Trainor K J,Andzulis J M,Rapp A,et al.Social media technology usage and customer relationship performance:A capabilities-based examination of social CRM[J].Journal of Business Research,2014,67(6):1201-1208
[13] Costa Pereira J,Coviello E,Doyle G,et al.On the role of correlation and abstraction in cross-modal multimedia retrieval[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2014,36(3):521-535
[14] Peng B,Li J,Chen J,et al.Trending Sentiment-Topic Detection on Twitter[M]∥Computational Linguistics and Intelligent Text Processing.Springer International Publishing,2015:66-77
[15] Chierichetti F,Kleinberg J,Kumar R,et al.Event detection via communication pattern analysis[C]∥Eighth International AAAI Conference on Weblogs and Social Media.2014
[16] Shen Guo-wei,Yang Wu,Wang Wei,et al.Burst Topic Detection Oriented Large-Scale Microblogs Streams[J].Journal of Computer Research and Development,2015,2(2):512-521(in Chinese) 申国伟,杨武,王巍,等.面向大规模微博消息流的突发话题检测[J].计算机研究与发展,2015,52(2):512-521
[17] Holzinger A.Social Media Mining and Social Network Analysis:Emerging Research[J].Online Information Review,2014,38(1):157-158
[18] Wang Li,Cheng Xue-qi.Dynamic Community in Online Social Networks[J].Chinese Journal of Computers,2015,8(2):219-237(in Chinese) 王莉,程学旗.在线社会网络的动态社区发现及演化[J].计算机学报,2015,38(2):219-237
[19] Zhou D,Huang J,Schlkopf B.Learning with hypergraphs:Clustering,classification,and embedding[M]∥Advances in Neural Information Processing Systems.2006:1601-1608
[20] Sang J,Xu C,Liu J.User-aware image tag refinement via ternary semantic analysis [J].IEEE Transactions on Multimedia,2012,14(3):883-895
[21] Bi J,Huang J,Qin Z.A Relationship Strength-Aware TopicModel for Communities Discovery in Online Social Networks[M]∥Advances in Computer Science and its Applications.Springer Berlin Heidelberg,2014:709-715
[22] Diakopoulos N,De Choudhury M,Naaman M.Finding and as-sessing social media information sources in the context of journalism[C]∥Proceedings of the SIGCHI Conference on Human Factors in Computing Systems.ACM,2012:2451-2460
[23] Li Huan-yu,Bi Du-yan,Yang Yuan,et al.Research on VisualTracking Algorithm Based on Deep Feature Expression and Learning[J].Journal of Electronics & Information Technology,2015,7(9):2033-2039(in Chinese) 李寰宇,毕笃彦,杨源,等.基于深度特征表达与学习的视觉跟踪算法研究[J].电子与信息学报,2015,37(9):2033-2039
[24] Chen Shuo.Application research of deep learning neural networks in speech recognition[D].Guangzhou:South China University of Technology,2013 陈硕.深度学习神经网络在语音识别中的应用研究[D].广州:华南理工大学,2013
[25] Deng L,Li J,Huang J T,et al.Recent advances in deep learning for speech research at Microsoft[C]∥2013 IEEE International Conference on Acoustics,Speech and Signal Processing (ICASSP).IEEE,2013:8604-8608
[26] He X,Gao J,Deng L.Deep learning for natural language processing and related applications (Tutorial at ICASSP)[C]∥IEEE International Conference on Acoustics,Speech,and Signal Processing (ICASSP).2014
[27] Huiskes M J,Lew M S.The MIR Flickr retrieval evaluation[C]∥Proceedings of the 1st ACM International Conference on Multimedia Information Retrieval.ACM,2008:39-43
[28] Ermi?瘙塂 B,Acar E,Cemgil A T.Link prediction in heterogeneous data via generalized coupled tensor factorization[J].Data Mining and Knowledge Discovery,2015,29(1):203-236
[29] Popescul A,Ungar L H.Structural logistic regression for link analysis[J/OL].http://repository.upenn.edu/cgi/viewcontent.cgi?article=1139&context=cis_papers
[30] Lü L,Zhou T.Link prediction in complex networks:A survey[J].Physica A:Statistical Mechanics and its Applications,2011,390(6):1150-1170

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LEI Li-hui and WANG Jing. Parallelization of LTL Model Checking Based on Possibility Measure[J]. Computer Science, 2018, 45(4): 71 -75, 88 .
[2] XIA Qing-xun and ZHUANG Yi. Remote Attestation Mechanism Based on Locality Principle[J]. Computer Science, 2018, 45(4): 148 -151, 162 .
[3] LI Bai-shen, LI Ling-zhi, SUN Yong and ZHU Yan-qin. Intranet Defense Algorithm Based on Pseudo Boosting Decision Tree[J]. Computer Science, 2018, 45(4): 157 -162 .
[4] WANG Huan, ZHANG Yun-feng and ZHANG Yan. Rapid Decision Method for Repairing Sequence Based on CFDs[J]. Computer Science, 2018, 45(3): 311 -316 .
[5] SUN Qi, JIN Yan, HE Kun and XU Ling-xuan. Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem[J]. Computer Science, 2018, 45(4): 76 -82 .
[6] ZHANG Jia-nan and XIAO Ming-yu. Approximation Algorithm for Weighted Mixed Domination Problem[J]. Computer Science, 2018, 45(4): 83 -88 .
[7] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[8] LIU Qin. Study on Data Quality Based on Constraint in Computer Forensics[J]. Computer Science, 2018, 45(4): 169 -172 .
[9] ZHONG Fei and YANG Bin. License Plate Detection Based on Principal Component Analysis Network[J]. Computer Science, 2018, 45(3): 268 -273 .
[10] SHI Wen-jun, WU Ji-gang and LUO Yu-chun. Fast and Efficient Scheduling Algorithms for Mobile Cloud Offloading[J]. Computer Science, 2018, 45(4): 94 -99, 116 .