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Tao Wen

6 papers hereh-index 11544 citations18 works total

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

author position
  • sole author1
  • first author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.SI5
  • cs.CV1
same name
  • Tao Wen — 2 papers, h 13
  • Tao Wen — 2 papers, h 1
  • Tao Wen — 2 papers, h 2
  • Tao Wen — 2 papers, h 2
  • Tao Wen — 2 papers, h 1
  • Tao Wen — 1 paper, h 6

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
20182021
most citedIdentification of influencers in complex networks by local information dimensionality

139 citations · 205 across the 6 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.SI2019

Evaluating the Vulnerability of Communities in Social Networks by Gravity Model

Tao Wen

With the development of network science, the various properties of complex networks have recently received extensive attention. Among these properties, the vulnerability of the com…

cs.SI2019★ 4 cited

Vital Spreaders Identification in Complex Networks with Multi-Local Dimension

Tao Wen, Danilo Pelusi, Yong Deng

The important nodes identification has been an interesting problem in this issue. Several centrality measures have been proposed to solve this problem, but most of previous methods…

cs.SI2019★ 1 cited

The vulnerability of communities in complex network: An entropy approach

Tao Wen, Yong Deng

Measuring the vulnerability of communities in complex network has become an important topic in the research of complex system. Numerous existing vulnerability measures have been pr…

cs.SI2019★ 139 cited

Identification of influencers in complex networks by local information dimensionality

Tao Wen, Yong Deng

The identification of influential spreaders in complex networks is a popular topic in studies of network characteristics. Many centrality measures have been proposed to address thi…

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