Volume 25, Issue 6

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November 2022

Issue Editors:

Apostolos Papadopoulos,
Richard Chbeir,
Jan Platos,
Vaclav Snasel

11 articles in this issue

Editorial for the the special issue of WWW journal on Computational Aspects of Network Science (CAoNS)
Apostolos N. Papadopoulos
Richard Chbeir
Vaclav Snasel
EditorialNotes 20 September 2022 Pages: 2297 - 2301
Part of 1 collection:

Special Issue on Computational Aspects of Network Science
CSR: A community based spreaders ranking algorithm for influence maximization in social networks
Sanjay Kumar
Aaryan Gupta
Inder Khatri
OriginalPaper 10 February 2022 Pages: 2303 - 2322
Part of 2 collections:

Special Issue on Computational Aspects of Network Science

Special Issue on Computational Aspects of Network Science
GuidedWalk
Mohsen Fazaeli
Saeedeh Momtazi
OriginalPaper 08 February 2022 Pages: 2323 - 2345
Part of 2 collections:

Special Issue on Computational Aspects of Network Science

Special Issue on Computational Aspects of Network Science
LEOnto⁺: a scalable ontology enrichment approach
Salma Sassi
Anis Tissaoui
Richard Chbeir
OriginalPaper 22 February 2022 Pages: 2347 - 2378
Part of 2 collections:

Special Issue on Computational Aspects of Network Science

Special Issue on Computational Aspects of Network Science
Graph embeddings in criminal investigation: towards combining precision, generalization and transparency
Valerio Bellandi
Paolo Ceravolo
Stefano Siccardi
OriginalPaper Open access 16 February 2022 Pages: 2379 - 2402
Part of 3 collections:

Special Issue on Computational Aspects of Network Science

Computer Science Open Access SDG 3: Good Health and Well-Being

Special Issue on Computational Aspects of Network Science
Event prediction from news text using subgraph embedding and graph sequence mining
Recep Firat Cekinel
Pinar Karagoz
OriginalPaper 28 February 2022 Pages: 2403 - 2428
Part of 2 collections:

Special Issue on Computational Aspects of Network Science

Special Issue on Computational Aspects of Network Science
TG-OUT: temporal outlier patterns detection in Twitter attribute induced graphs
Ilias Dimitriadis
Marinos Poiitis
Athena Vakali
OriginalPaper 28 March 2022 Pages: 2429 - 2453
Part of 1 collection:

Special Issue on Computational Aspects of Network Science
Maximal paths recipe for constructing Web user sessions
Murat Ali Bayir
Ismail Hakki Toroslu
OriginalPaper 06 May 2022 Pages: 2455 - 2485
Part of 1 collection:

Special Issue on Computational Aspects of Network Science
Link prediction in complex networks using node centrality and light gradient boosting machine
Sanjay Kumar
Abhishek Mallik
B. S. Panda
OriginalPaper 12 February 2022 Pages: 2487 - 2513
Part of 2 collections:

Special Issue on Computational Aspects of Network Science

Special Issue on Computational Aspects of Network Science
Foreseeing private car transfer between urban regions with multiple graph-based generative adversarial networks
Chenxi Liu
Zhu Xiao
Jiawei Cai
OriginalPaper 05 March 2022 Pages: 2515 - 2534
Part of 1 collection:

Special Issue on Computational Aspects of Network Science
Efficient information diffusion in time-varying graphs through deep reinforcement learning
Matheus R. F. Mendonça
André M. S. Barreto
Artur Ziviani
OriginalPaper 02 June 2022 Pages: 2535 - 2560
Part of 1 collection:

Special Issue on Computational Aspects of Network Science

Volume 25, Issue 6

Editorial for the the special issue of WWW journal on Computational Aspects of Network Science (CAoNS)

CSR: A community based spreaders ranking algorithm for influence maximization in social networks

GuidedWalk

LEOnto⁺: a scalable ontology enrichment approach

Graph embeddings in criminal investigation: towards combining precision, generalization and transparency

Event prediction from news text using subgraph embedding and graph sequence mining

TG-OUT: temporal outlier patterns detection in Twitter attribute induced graphs

Maximal paths recipe for constructing Web user sessions

Link prediction in complex networks using node centrality and light gradient boosting machine

Foreseeing private car transfer between urban regions with multiple graph-based generative adversarial networks

Efficient information diffusion in time-varying graphs through deep reinforcement learning

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