Abstract
Online social networks (OSNs) are part of daily life of human beings. Millions of users are connected through online social networks. Due to very large number of users and huge amount of data, social network analysis is a challenging task. The emergence of deep learning techniques has enabled to carry out a rigorous analysis of OSNs. A lot of research is carried out in the area of social network analysis using deep learning techniques from different perspectives. In this paper, we provide an overview of state-of-the-art research for different applications of social network analysis using deep learning techniques. We consider applications such as opinion analysis, sentiment analysis, text classification, recommender systems, structural analysis, anomaly detection, and fake news detection. We compare different schemes on the basis of their focus and features. Further, we point out directions for future work.
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Abbreviations
- AENC:
-
Auto-encoder
- AM:
-
Attention mechanism
- ANN:
-
Artificial neural network
- BERT:
-
Bidirectional encoder representations from transformers
- CNN:
-
Convolutional neural network
- DBN:
-
Deep belief networks
- DBM:
-
Deep Boltzmann machine
- DGL:
-
Deep graph learning
- DIR:
-
Deep integration representation
- DJR:
-
Deep joint reconstruction
- DMNF:
-
Deep multiple network fusion
- DRL:
-
Deep reinforcement learning
- FDPL:
-
Friendship using deep pairwise learning
- GAN:
-
Generative adversarial network
- GNN:
-
Graph neural network
- HPPNP:
-
Hybrid personalized propagation of neural prediction
- KG:
-
Knowledge graphs
- LBSN:
-
Location-based social network
- LDA:
-
Latent Dirichlet allocation
- LNN:
-
Ladder neural network
- LSA:
-
Latent semantic analysis
- LSTM:
-
Long short-term memory
- MGGE:
-
Multi-granularity graph embedding
- MLP:
-
Multilayer perceptrons
- MOOC:
-
Massive open online course
- MVDN:
-
Multi-view deep network
- NLP:
-
Natural language processing
- ORBM:
-
Ontology-based restricted Boltzmann machine
- OSN:
-
Online social network
- RNN:
-
Recurrent neural network
- SCS:
-
Social curation service
- SIDL:
-
Social influence deep learning
- SNA:
-
Social network analysis
- SOM:
-
Self-organizing map
- SVM:
-
Support vector machine
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Abbas, A.M. Social network analysis using deep learning: applications and schemes. Soc. Netw. Anal. Min. 11, 106 (2021). https://doi.org/10.1007/s13278-021-00799-z
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DOI: https://doi.org/10.1007/s13278-021-00799-z