Scientific Programming

Computational Aspects of Social Network Analysis


Publishing date
15 Aug 2014
Status
Published
Submission deadline
28 Mar 2014


Computational Aspects of Social Network Analysis

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 961610
  • - Editorial

Computational Aspects of Social Network Analysis

Przemyslaw Kazienko | Reda Alhajj | Jaideep Srivastava
  • Special Issue
  • - Volume 2015
  • - Article ID 602690
  • - Research Article

A Community-Based Approach for Link Prediction in Signed Social Networks

Saeed Reza Shahriary | Mohsen Shahriari | Rafidah MD Noor
  • Special Issue
  • - Volume 2015
  • - Article ID 461362
  • - Research Article

Parallelizing SLPA for Scalable Overlapping Community Detection

Konstantin Kuzmin | Mingming Chen | Boleslaw K. Szymanski
  • Special Issue
  • - Volume 2015
  • - Article ID 450215
  • - Research Article

On Efficient Link Recommendation in Social Networks Using Actor-Fact Matrices

Michał Ciesielczyk | Andrzej Szwabe | Mikołaj Morzy
  • Special Issue
  • - Volume 2015
  • - Article ID 901321
  • - Research Article

Fast Parallel All-Subgraph Enumeration Using Multicore Machines

Saeed Shahrivari | Saeed Jalili
  • Special Issue
  • - Volume 2015
  • - Article ID 907547
  • - Research Article

The Comparison of Users Activity on the Example of Polish and American Blogosphere

Anna Zygmunt | Bogdan Gliwa
  • Special Issue
  • - Volume 2015
  • - Article ID 451476
  • - Research Article

Skillrank: Towards a Hybrid Method to Assess Quality and Confidence of Professional Skills in Social Networks

Jose María Álvarez-Rodríguez | Ricardo Colomo-Palacios | Vladimir Stantchev
  • Special Issue
  • - Volume 2015
  • - Article ID 172879
  • - Research Article

Link Prediction Methods and Their Accuracy for Different Social Networks and Network Metrics

Fei Gao | Katarzyna Musial | ... | Sophia Tsoka
Scientific Programming
 Journal metrics
Acceptance rate27%
Submission to final decision65 days
Acceptance to publication33 days
CiteScore2.300
Impact Factor0.963
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