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Qiang Guo

15 papers hereh-index 221.7k citations85 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author8
  • last author5

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph8
  • physics.data-an4
  • cs.IR1
  • cs.LG1
  • cs.SI1
same name
  • Qiang Guo — 4 papers, h 1
  • Qiang Guo — 3 papers, h 9
  • Qiang Guo — 3 papers, h 9
  • Qiang Guo — 2 papers, h 9
  • Qiang Guo — 2 papers, h 1
  • Qiang Guo — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20052015
most citedRanking the spreading influence in complex networks

265 citations · 637 across the 15 of their papers we have counts for

collaborators
Showing 2014Show all

4 papers · 1 filter

physics.soc-ph2014

Memory effect of the online user preference

Lei Hou, Xue Pan, Qiang Guo +1

The mechanism of the online user preference evolution is of great significance for understanding the online user behaviors and improving the quality of online services. Since users…

physics.soc-ph2014

A general method for identifying node spreading influence via the adjacent matrix and spreading rate

Jian-Hong Lin, Jian-Guo Liu, Qiang Guo

With great theoretical and practical significance, identifying the node spreading influence of complex network is one of the most promising domains. So far, various topology-based…

physics.soc-ph2014★ 265 cited

Ranking the spreading influence in complex networks

Jian-Guo Liu, Zhuo-Ming Ren, Qiang Guo

Identifying the node spreading influence in networks is an important task to optimally use the network structure and ensure the more efficient spreading in information. In this pap…

cs.IR2014★ 18 cited

Ultra accurate collaborative information filtering via directed user similarity

Qiang Guo, Wen-Jun Song, Jian-Guo Liu

A key challenge of the collaborative filtering (CF) information filtering is how to obtain the reliable and accurate results with the help of peers' recommendation. Since the simil…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.