{"id":1017,"date":"2020-12-28T17:51:47","date_gmt":"2020-12-28T09:51:47","guid":{"rendered":"http:\/\/ercis.ustb.edu.cn\/?p=1017"},"modified":"2020-12-28T17:51:47","modified_gmt":"2020-12-28T09:51:47","slug":"%e7%a4%be%e4%ba%a4%e7%bd%91%e7%bb%9c","status":"publish","type":"post","link":"http:\/\/ercis.ustb.edu.cn\/?p=1017","title":{"rendered":"\u793e\u4ea4\u7f51\u7edc"},"content":{"rendered":"

2019\u5e74\u5ea6<\/h3>\n
    \n
  1. Huang J, Tang Y, Hu Y, et al. Predicting the Active Period of Popularity Evolution: A Case Study on Twitter Hashtags [J]. Information Sciences, 2019.\u00a0https:\/\/doi.org\/10.1016\/j.ins.2019.04.028<\/a><\/li>\n
  2. Huang J, Li J, Chen Y, et al. Burst Hotspots Dynamic Detection and Tracking on Large-Scale Text Stream[J]. IEEE Access, 2019, 7: 30913-30924.https:\/\/doi.org\/10.1109\/ACCESS.2019.2903095<\/a><\/li>\n
  3. Fang M, Li Y, Hu Y, et al. A Unified Semantic Model for Cross-Media Events Analysis in Online Social Networks[J]. IEEE Access, 2019, 7: 32166-32182.https:\/\/doi.org\/10.1109\/ACCESS.2019.2899989<\/a><\/li>\n
  4. Wang Z , Wang Q , Zhu T , et al. Extending LINE for Network Embedding With Completely Imbalanced Labels[J]. International Journal of Data Warehousing and Mining, 2020, 16(3):20-36.https:\/\/doi.org\/10.4018\/IJDWM.2020070102<\/a><\/li>\n<\/ol>\n
    \n

    2018\u5e74\u5ea6<\/h3>\n
      \n
    1. Fang M, Shi P, Shang W, et al. Locating the Source of Asynchronous Diffusion Process in Online Social Networks[J]. IEEE Access, 2018, 6: 17699-17710.https:\/\/doi.org\/10.1109\/ACCESS.2018.2817553<\/a><\/li>\n
    2. Hu Y, Aiello M, Hu C, et al. Information diffusion in online social networks: A compilation[J]. Journal of Computational Science, 2018: 204-205.\u00a0https:\/\/doi.org\/10.1016\/j.jocs.2018.08.010<\/a><\/li>\n<\/ol>\n
      \n

      2017\u5e74\u5ea6<\/h3>\n
        \n
      1. Xu W, Shi P, Huang J, et al. Understanding and predicting the peak popularity of bursting hashtags[J]. Journal of Computational Science, 2017: 328-335.https:\/\/doi.org\/10.1016\/j.jocs.2017.10.017<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

        2019\u5e74\u5ea6 Huang J, Tang Y, Hu Y, et al. Predicting the Active Period of Popularity Evolution: A Case Study on Twitter Hashtags [J]. Information Sciences, 2019.\u00a0https:\/\/doi.org\/10.1016\/j.ins.2019.04.028 Huang J, Li J, Chen Y, et al. Burst Hotspots Dynamic Detection and Tracking on Large-Scale Text Stream[J]. IEEE Access, 2019, 7: 30913-30924.https:\/\/doi.org\/10.1109\/ACCESS.2019.2903095 Fang M, Li Y, Hu Y, […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"cybocfi_hide_featured_image":"","_links_to":"","_links_to_target":""},"categories":[10],"tags":[],"_links":{"self":[{"href":"http:\/\/ercis.ustb.edu.cn\/index.php?rest_route=\/wp\/v2\/posts\/1017"}],"collection":[{"href":"http:\/\/ercis.ustb.edu.cn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/ercis.ustb.edu.cn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/ercis.ustb.edu.cn\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/ercis.ustb.edu.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1017"}],"version-history":[{"count":0,"href":"http:\/\/ercis.ustb.edu.cn\/index.php?rest_route=\/wp\/v2\/posts\/1017\/revisions"}],"wp:attachment":[{"href":"http:\/\/ercis.ustb.edu.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1017"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/ercis.ustb.edu.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1017"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/ercis.ustb.edu.cn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1017"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}