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U.S. Department of Energy
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Estimating users? mode transition functions and activity levels from social media.

Conference ·

Abstract not provided.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1463402
Report Number(s):
SAND2017-8003C; 655770
Country of Publication:
United States
Language:
English

References (4)

Characterizing dengue spread and severity using internet media sources conference January 2013
Quantifying the Impact of Human Mobility on Malaria journal October 2012
Time maps: A tool for visualizing many discrete events across multiple timescales conference October 2015
SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity
  • Zhao, Qingyuan; Erdogdu, Murat A.; He, Hera Y.
  • Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15 https://doi.org/10.1145/2783258.2783401
conference January 2015

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