Table 1.
Classification of the main surveys
| Reference | Aims | Taxonomy(ies) studied | Finding |
|---|---|---|---|
| Piao and Breslin (2018) | Inferring User Interests |
- Data Collection - Data Representation - Data Construction - Data Enhancement |
Both questionnaires and extrinsic evaluation procedures have similar levels |
| Alzanin and M.Azmi (2018) | Detecting rumors |
- Unsupervised approaches - Supervised approaches - Hybrid approaches |
There is still a critical need to include many languages |
| Sun and Tang (2011) | Social influence analysis models and algorithms | Comprehensive survey | An important and challenging research area |
| Adedoyin-Olowe et al. (2014) | Social Network Analysis Using Data Mining Techniques |
- Unsupervised Methods - Semi-supervised methods - Supervised methods |
The usefulness of data mining techniques in locating important content and information among the massive amounts of data created |
| Tabassum et al. (2018) | Social network analysis | Comprehensive survey | Still a challenge for many of the metrics that need to traverse the entire or most of the graph on every update |
| Andreassen et al. (2016) | The relationship between addictive use | Behavioral addiction | It is necessary to conduct an additional study on these understudied interactions |
| Plantie and Crampes (2013) | Community Detection |
- Graph partition - Hypergraph - Concept graphs or Galois lattices |
There should be more approaches developed, and software tools to support them are anticipated to follow |
| Azaouzi et al. (2019) | Community detection |
- Static network - Dynamic network - Real-world datasets - Synthetic datasets |
Important topic |
| Bian et al. (2019) | Identifying Top-k Nodes in Social Networks |
- Influential nodes - Significant nodes |
- The work in this area is quite limited. - The research area of mining top-k nodes in dynamic networks is still relatively new |
| Peng et al. (2018) | Influence analysis | Comprehensive survey | Social networks are on the horizon, and social influence analysis is a crucial field to address needs |
| Azaouzi et al. (2021) | Influence maximization Models |
- Individual models - Group node-based models |
Many more problems and challenges will show up during the progress of the social network journey |
| Hudders et al. (2021) | Social media influencers’ strategy | Comprehensive survey |
- Research on influencer marketing is flourishing - Continuing research on the subject is estimated to grow |
| Our Survey | Influence and identifying influencers | Comprehensive survey |
- Interesting issue - The amount of ongoing research is anticipated to rise |