Structured Analytics in Social Media
Summary: Systematizes structured analytics in social media by turning unstructured content into user-item-activity graphs, capturing implicit behavior. Survey of models, tasks, algorithms, benchmarks, and open challenges for future work in structured social analytics. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mahashweta Das (Hewlett Packard Enterprise)
- 2. Gautam Das (University of Texas)
BibTeX Citation
@article{das_vldb15,
title = {{Structured Analytics in Social Media}},
author = {Das, Mahashweta and Das, Gautam},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {12},
pages = {2046--2049},
doi = {10.14778/2824032.2824083},
url = {https://doi.org/10.14778/2824032.2824083},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 486 | Efficient Aggregation for Graph Summarization | 2008 | SIGMOD | 0.00017692185 |
| 731 | PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks | 2011 | VLDB | 0.00014537965 |
| 2,993 | MRI: Meaningful Interpretations of Collaborative Ratings | 2011 | VLDB | 7.8804914e-05 |
| 5,544 | RecDB in Action: Recommendation Made Easy in Relational Databases | 2013 | VLDB | 6.180013e-05 |
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