University Station

Results: 3763



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81Toward Traffic-Driven Location-Based Web Search Zhiyuan Cheng, James Caverlee, Krishna Y. Kamath, and Kyumin Lee Department of Computer Science and Engineering Texas A&M University College Station, TX, USA

Toward Traffic-Driven Location-Based Web Search Zhiyuan Cheng, James Caverlee, Krishna Y. Kamath, and Kyumin Lee Department of Computer Science and Engineering Texas A&M University College Station, TX, USA

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Source URL: faculty.cse.tamu.edu

- Date: 2011-08-26 16:56:36
    82Detecting Spam URLs in Social Media via Behavioral Analysis Cheng Cao and James Caverlee Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {chengcao,caverlee}@cse.tamu.edu

    Detecting Spam URLs in Social Media via Behavioral Analysis Cheng Cao and James Caverlee Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {chengcao,caverlee}@cse.tamu.edu

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    Source URL: faculty.cse.tamu.edu

    - Date: 2015-04-18 18:07:04
      83Combating Threats to Collective Attention in Social Media: An Evaluation Kyumin Lee, Krishna Y. Kamath, James Caverlee Texas A&M University College Station, TX 77843 {kyumin, kykamath, caverlee}@cse.tamu.edu

      Combating Threats to Collective Attention in Social Media: An Evaluation Kyumin Lee, Krishna Y. Kamath, James Caverlee Texas A&M University College Station, TX 77843 {kyumin, kykamath, caverlee}@cse.tamu.edu

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      Source URL: faculty.cse.tamu.edu

      - Date: 2013-04-25 17:55:52
        84Location Prediction in Social Media Based on Tie Strength Jeffrey McGee, James Caverlee, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station, TX, USA

        Location Prediction in Social Media Based on Tie Strength Jeffrey McGee, James Caverlee, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station, TX, USA

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        Source URL: faculty.cse.tamu.edu

        - Date: 2013-09-24 17:35:28
          85LExL: A Learning Approach for Local Expert Discovery on Twitter Wei Niu, Zhijiao Liu, James Caverlee Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {wei,lzj,caverlee}@cse

          LExL: A Learning Approach for Local Expert Discovery on Twitter Wei Niu, Zhijiao Liu, James Caverlee Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {wei,lzj,caverlee}@cse

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          Source URL: faculty.cse.tamu.edu

          - Date: 2016-02-22 16:06:48
            86Ranking Comments on the Social Web Chiao-Fang Hsu, Elham Khabiri, and James Caverlee Department of Computer Science and Engineering Texas A&M University College Station, TXUSA {drakihsu, khabiri, caverlee}@cse.tam

            Ranking Comments on the Social Web Chiao-Fang Hsu, Elham Khabiri, and James Caverlee Department of Computer Science and Engineering Texas A&M University College Station, TXUSA {drakihsu, khabiri, caverlee}@cse.tam

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            Source URL: faculty.cse.tamu.edu

            - Date: 2009-09-16 10:08:22
              87Crowdturfers, Campaigns, and Social Media: Tracking and Revealing Crowdsourced Manipulation of Social Media Kyumin Lee⇤ , Prithivi Tamilarasan⇤ , James Caverlee Texas A&M University College Station, TX 77843 {kyumin,

              Crowdturfers, Campaigns, and Social Media: Tracking and Revealing Crowdsourced Manipulation of Social Media Kyumin Lee⇤ , Prithivi Tamilarasan⇤ , James Caverlee Texas A&M University College Station, TX 77843 {kyumin,

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              Source URL: faculty.cse.tamu.edu

              - Date: 2013-04-25 17:56:02
                88Content-Driven Detection of Campaigns in Social Media Kyumin Lee, James Caverlee, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station, TX 77843 {kyumin, caverlee, zcheng}@cse

                Content-Driven Detection of Campaigns in Social Media Kyumin Lee, James Caverlee, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station, TX 77843 {kyumin, caverlee, zcheng}@cse

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                Source URL: faculty.cse.tamu.edu

                - Date: 2011-08-11 00:19:36
                  89A&M System Designated Contacts for Discrimination Issues Texas A&M University (College Station) To submit an inquiry or complaint regarding discrimination, sexual harassment, or related retaliation by a member of the stu

                  A&M System Designated Contacts for Discrimination Issues Texas A&M University (College Station) To submit an inquiry or complaint regarding discrimination, sexual harassment, or related retaliation by a member of the stu

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                  Source URL: assets.system.tamus.edu

                  - Date: 2012-03-22 10:22:19