Complexity

Analysis and Applications of Location-Aware Big Complex Network Data


Publishing date
01 Jun 2019
Status
Published
Submission deadline
25 Jan 2019

Lead Editor
Guest Editors

1The University of Western Australia, Crawley, Australia

2RMIT University, Melbourne, Australia

3The Hong Kong Baptist University, Kowloon, Hong Kong

4Soochow University, Suzhou, China


Analysis and Applications of Location-Aware Big Complex Network Data

Description

In response to the ever-increasing challenges of location-aware network data like spatiosocial network and traffic network data, the network data processing technology is experiencing revolutionary changes in each stage including data collecting, cleaning, organizing, interpreting, analyzing, utilizing, and visualization. Those changes lead to a globally noticeable development trend of the convergence with big data frameworks, network analytical modeling, link or route prediction, and recommendation systems. This special issue aims at providing a forum to present recent advancements in the convergent research about big complex network data. Challenges include real-time event detection in a city, congestion discovery in a traffic network, location prediction of social users, social users’ behavior recognition in physical world, and unified systems of processing multidimensional complex network data. The robust solutions call for highly innovative techniques in the fields including, but not limited to, machine learning, genetic algorithms, chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. The special issue will attract high-quality submissions of location-aware big complex network data from world-wide researchers in the areas of the machine learning, artificial intelligence, data mining, natural language processing, data and web mining, and big data management to utilize their expertise and match up to develop more efficient and practical algorithms or models to obtain smart knowledge from daily generated invaluable social network data and traffic network data.

Potential topics include but are not limited to the following:

  • Novel genetic algorithms to handle the problem complexity in location-aware social network
  • Sophisticated neural network structure predicting complex events in location-aware social network
  • Machine learning or deep learning in deriving social activities and behavioral metrics
  • Fuzzy modeling and control of chaotic systems to cope with data uncertainty
  • Spatial social influence learning modeling techniques
  • Parallel big data processing infrastructure to achieve real-time response to data analysis requests
  • Dynamic network data modeling using evolutionary game theory
  • Learning methods for social link prediction and revisit prediction in traffic network
  • Applications of any of the above methods and technologies

Articles

  • Special Issue
  • - Volume 2019
  • - Article ID 3410262
  • - Editorial

Analysis and Applications of Location-Aware Big Complex Network Data

Jianxin Li | Ke Deng | ... | Jiajie Xu
  • Special Issue
  • - Volume 2019
  • - Article ID 6059673
  • - Research Article

Optimal Proxy Selection for Socioeconomic Status Inference on Twitter

Jacob Levy Abitbol | Eric Fleury | Márton Karsai
  • Special Issue
  • - Volume 2019
  • - Article ID 4047894
  • - Research Article

Semantic-Aware Top-k Multirequest Optimal Route

Shuang Wang | Yingchun Xu | ... | Anliang Li
  • Special Issue
  • - Volume 2019
  • - Article ID 1532013
  • - Research Article

Incremental Bilateral Preference Stable Planning over Event Based Social Networks

Boyang Li | Yurong Cheng | ... | Yongjiao Sun
  • Special Issue
  • - Volume 2019
  • - Article ID 4932030
  • - Research Article

Predicting Quality of Service via Leveraging Location Information

Liang Chen | Fenfang Xie | ... | Yaoming Wu
  • Special Issue
  • - Volume 2019
  • - Article ID 2950287
  • - Research Article

An Effective Algorithm for Video-Based Parking and Drop Event Detection

Gang Li | Huansheng Song | Zheng Liao
  • Special Issue
  • - Volume 2019
  • - Article ID 9871971
  • - Research Article

Location-Aware Web Service Composition Based on the Mixture Rank of Web Services and Web Service Requests

Junwen Lu | Guanfeng Liu | ... | Wenjiang Qin
  • Special Issue
  • - Volume 2019
  • - Article ID 8258197
  • - Research Article

pSPARQL: A Querying Language for Probabilistic RDF Data

Hong Fang
  • Special Issue
  • - Volume 2019
  • - Article ID 2926749
  • - Research Article

A Joint Deep Recommendation Framework for Location-Based Social Networks

Omer Tal | Yang Liu
  • Special Issue
  • - Volume 2019
  • - Article ID 8127869
  • - Research Article

Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples

Qi Zhu | Ning Yuan | Donghai Guan
Complexity
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 Journal metrics
Acceptance rate43%
Submission to final decision64 days
Acceptance to publication35 days
CiteScore3.200
Impact Factor2.462
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