Browse Research and Tech Reports - Computer Science by Author "Kaplan, Lance"

  • Giridhar, Prasanna; Wang, Shiguang; Abdelzaher, Tarek F.; Kaplan, Lance; George, Jemin; Ganti, Raghu (2017-05)
    This paper develops an algorithm that exploits picture-oriented social networks to localize urban events. We choose picture-oriented networks because taking a picture requires physical proximity, thereby revealing the ...

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  • Wang, Dong; Abdelzaher, Tarek F.; Kaplan, Lance (2011-06-14)
    This technical report addresses the challenge of truth discovery from noisy social sensing data. The work is motivated by the emergence of social sensing as a data collection paradigm of growing interest, where humans ...

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  • Wang, Dong; Abdelzaher, Tarek F.; Kaplan, Lance; Ganti, Raghu K.; Hu, Shaohan; Liu, Hengchang (2014-04-23)
    Correctness guarantees are at the core of cyber-physical computing research. While prior research addressed correctness of timing behavior and correctness of program logic, this paper tackles the emerging topic of assessing ...

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  • Giridhar, Prasanna; Abdelzaher, Tarek F.; Kaplan, Lance (2017-02-01)

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  • Amin, Md Tanvir Al; Aggarwal, Charu; Yao, Shuochao; Abdelzaher, Tarek F.; Kaplan, Lance (IEEE, 2017)
    This paper presents unsupervised algorithms to uncover polarization in social networks (namely, Twitter) and identify polarized groups. The approach is language-agnostic and thus broadly applicable to global and multilingual ...

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  • Wang, Dong; Amin, Md Tanvir Al; Li, Shen; Kaplan, Lance; Gu, Siyu; Pan, Chenji; Liu, Hengchang; Aggarwal, Charu; Ganti, Raghu K.; Wang, Xinlei; Mohapatra, Prasant; Szymanski,Boleslaw; Le, Hieu; Abdelzaher, Tarek F. (ACM/IEEE-CS, 2014)
    The explosive growth in social network content suggests that the largest "sensor network" yet might be human. Extending the participatory sensing model, this paper explores the prospect of utilizing social networks as ...

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