Survey and Sampling Methodologies in Network Data |
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| Coordinator 1 | Dr Francesco Santelli (University of Trieste) |
| Coordinator 2 | Dr Gianpaolo Caprino (University of Milano-Bicocca) |
| Coordinator 3 | Professor Domenico De Stefano (University of Trieste) |
| Coordinator 4 | Professor Susanna Zaccarin (University of Trieste) |
| Coordinator 5 | Professor Rosario D'Agata (University of Catania) |
| Coordinator 6 | Dr Viviana Amati (University of Milano-Bicocca) |
The interest in relational data has introduced new opportunities and challenges for survey research. This session explores the methodological complexities of collecting and sampling network data encoding interactions among entities. As researchers increasingly rely on unconventional and multiple data sources, such as bibliometric databases, social media platforms’ interactions, IoT, and sensor data, adapting traditional survey methodologies becomes paramount, especially without sufficient attribute information.
This session aims to spark a discussion on the future of data collection in network research. We welcome contributions on
- The development of adequate instruments measuring interactions in cross-sectional and longitudinal studies
- The advancement of approaches dealing with inherent biases that arise from, e.g., non-random snowball, dyadic, and ego-network sampling structures
- The progress in strategies to obtain representative network samples
- The use and integration of primary and secondary data
- Ethics in network data collection
- The development of software and tools for data collection.