Social engineering

Results: 13567



#Item
11Probabilistic Generative Models of the Social Annotation Process Said Kashoob, James Caverlee, Elham Khabiri Department of Computer Science and Engineering Texas A&M University College Station, TX 77843

Probabilistic Generative Models of the Social Annotation Process Said Kashoob, James Caverlee, Elham Khabiri Department of Computer Science and Engineering Texas A&M University College Station, TX 77843

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Source URL: faculty.cse.tamu.edu

- Date: 2009-09-16 10:08:34
    12A Noise-Filtering Approach for Spatio-temporal Event Detection in Social Media Yuan Liang, James Caverlee, and Cheng Cao Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {y

    A Noise-Filtering Approach for Spatio-temporal Event Detection in Social Media Yuan Liang, James Caverlee, and Cheng Cao Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {y

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    Source URL: faculty.cse.tamu.edu

    - Date: 2015-04-18 18:07:10
      13Detecting 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
        14Exploring Opportunities for Social Infrastructure in Congestive Heart Failure Management Abstract Sunyoung Kim School of Engineering and

        Exploring Opportunities for Social Infrastructure in Congestive Heart Failure Management Abstract Sunyoung Kim School of Engineering and

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        Source URL: people.seas.harvard.edu

        - Date: 2015-10-21 17:54:10
          15Location 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
            16How Big is the Crowd? Event and Location Based Population Modeling in Social Media Yuan Liang, James Caverlee, Zhiyuan Cheng, Krishna Y. Kamath Department of Computer Science and Engineering Texas A&M University {yliang,

            How Big is the Crowd? Event and Location Based Population Modeling in Social Media Yuan Liang, James Caverlee, Zhiyuan Cheng, Krishna Y. Kamath Department of Computer Science and Engineering Texas A&M University {yliang,

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            Source URL: faculty.cse.tamu.edu

            - Date: 2013-04-25 16:02:51
              17Ranking 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
                18College Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare Locations Hancheng Ge, James Caverlee Department of Computer Science and Engineering Texas A&M University, USA, 77840

                College Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare Locations Hancheng Ge, James Caverlee Department of Computer Science and Engineering Texas A&M University, USA, 77840

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                Source URL: faculty.cse.tamu.edu

                - Date: 2016-02-22 16:06:40
                  19Content-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
                    20The Role of the Underground Economy in Social Network Spam and Abuse Kurt Thomas Electrical Engineering and Computer Sciences

                    The Role of the Underground Economy in Social Network Spam and Abuse Kurt Thomas Electrical Engineering and Computer Sciences

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                    Source URL: www2.eecs.berkeley.edu

                    - Date: 2013-12-11 19:52:15