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Volumn , Issue , 2014, Pages

Detecting multiple information sources in networks under the SIR model

Author keywords

[No Author keywords available]

Indexed keywords

HEURISTIC ALGORITHMS; INFORMATION SCIENCE; TREES (MATHEMATICS);

EID: 84901393183     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISS.2014.6814143     Document Type: Conference Paper
Times cited : (20)

References (19)
  • 1
    • 77954890040 scopus 로고    scopus 로고
    • Detecting sources of computer viruses in networks: Theory and experiment
    • New York, NY
    • D. Shah and T. Zaman, "Detecting sources of computer viruses in networks: Theory and experiment," in Proc. Ann. ACM SIGMETRICS Conf., New York, NY, 2010, pp. 203-214.
    • (2010) Proc. Ann. ACM SIGMETRICS Conf , pp. 203-214
    • Shah, D.1    Zaman, T.2
  • 2
    • 79961005336 scopus 로고    scopus 로고
    • Rumors in a network: Who's the culprit?
    • Aug
    • -, "Rumors in a network: Who's the culprit?" IEEE Trans. Inf. Theory, vol. 57, pp. 5163-5181, Aug. 2011.
    • (2011) IEEE Trans. Inf. Theory , vol.57 , pp. 5163-5181
    • Shah, D.1    Zaman, T.2
  • 3
    • 84864659856 scopus 로고    scopus 로고
    • Rumor centrality: A universal source detector
    • London, England, UK
    • -, "Rumor centrality: a universal source detector," in Proc. Ann. ACM SIGMETRICS Conf., London, England, UK, 2012, pp. 199-210.
    • (2012) Proc. Ann. ACM SIGMETRICS Conf , pp. 199-210
    • Shah, D.1    Zaman, T.2
  • 5
    • 84877888089 scopus 로고    scopus 로고
    • Identifying infection sources and regions in large networks
    • W. Luo, W. P. Tay, and M. Leng, "Identifying infection sources and regions in large networks," IEEE Trans. Signal Process., vol. 61, pp. 2850-2865.
    • IEEE Trans. Signal Process , vol.61 , pp. 2850-2865
    • Luo, W.1    Tay, W.P.2    Leng, M.3
  • 12
    • 84874077870 scopus 로고    scopus 로고
    • Spotting culprits in epidemics: How many and which ones?
    • Brussels, Belgium
    • B. A. Prakash, J. Vreeken, and C. Faloutsos, "Spotting culprits in epidemics: How many and which ones?" in IEEE Int. Conf. Data Mining (ICDM), Brussels, Belgium, 2012, pp. 11-20.
    • (2012) IEEE Int. Conf. Data Mining (ICDM) , pp. 11-20
    • Prakash, B.A.1    Vreeken, J.2    Faloutsos, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.