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Characterizing behavior of topical authorities in Twitter:
, In:
2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
,
Farahani, Hamideh Shahrabi
;
Bagheri, Alireza
;
Saraf, Ebrahim Haj Khan Mirzaye
- p. 581-586 , 2017
Link:
https://doi.org/10.1109/ICIMIA.2017.7975527
RT T1 <cTitle>2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)</cTitle>: T1 <Title>Characterizing behavior of topical authorities in Twitter</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-7975527&Exemplar=1&LAN=DE A1 Farahani, Hamideh Shahrabi A1 Bagheri, Alireza A1 Saraf, Ebrahim Haj Khan Mirzaye YR 2017 K1 Measurement K1 Correlation K1 Twitter K1 Industry applications K1 Conferences K1 Mathematical model K1 topical influence K1 user influence K1 ranking K1 behavior SP 581 OP 586 LK http://dx.doi.org/https://doi.org/10.1109/ICIMIA.2017.7975527 DO https://doi.org/10.1109/ICIMIA.2017.7975527 SF ELIB - SuUB Bremen
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