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Volumn , Issue , 2005, Pages 33-40

Search strategies for scientific collaboration networks

Author keywords

Peer to peer networks; Query forwarding strategies; Scientific collaboration network analysis

Indexed keywords

COMPUTER NETWORKS; DATA ACQUISITION; DATA STRUCTURES; QUERY LANGUAGES;

EID: 33749008530     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1096952.1096959     Document Type: Conference Paper
Times cited : (14)

References (29)
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    • Brin, S.1    Page, L.2
  • 12
    • 4243148480 scopus 로고    scopus 로고
    • Authoritative sources in a hyperlinked environment
    • Jon M. Kleinberg. Authoritative sources in a hyperlinked environment. Journal of the ACM, 46(5):604-632, 1999.
    • (1999) Journal of the ACM , vol.46 , Issue.5 , pp. 604-632
    • Kleinberg, J.M.1
  • 13
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    • Digital libraries and autonomous citation indexing
    • S. Lawrence, C. L. Giles, and K. D. Bollacker. Digital libraries and autonomous citation indexing. IEEE Computer, 32(6):67-71, 1999.
    • (1999) IEEE Computer , vol.32 , Issue.6 , pp. 67-71
    • Lawrence, S.1    Giles, C.L.2    Bollacker, K.D.3
  • 27
    • 19944366297 scopus 로고    scopus 로고
    • REMINDIN': Semantic query routing in peer-to-peer networks based on social metaphors
    • Christoph Tempich, Steffen Staab, and Adrian Wranik. REMINDIN': Semantic query routing in peer-to-peer networks based on social metaphors. In Proceedings of the 13th Intl. WWW Conference, 2004.
    • (2004) Proceedings of the 13th Intl. WWW Conference
    • Tempich, C.1    Staab, S.2    Wranik, A.3
  • 29
    • 15744398239 scopus 로고    scopus 로고
    • Exploiting locality for scalable information retrieval in peer-to-peer networks
    • D. Zeinalipour-Yazti, V. Kalogeraki, and D. Gunopulos. Exploiting locality for scalable information retrieval in peer-to-peer networks. Inf. Syst., 30(4):277-298, 2005.
    • (2005) Inf. Syst. , vol.30 , Issue.4 , pp. 277-298
    • Zeinalipour-Yazti, D.1    Kalogeraki, V.2    Gunopulos, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.