مقایسهٔ روشها
روشهای انتخابی خود را کنار هم مرور کنید؛ ردیفهای متفاوت برجسته شدهاند.
| گردآوری داده از حسگرهای موبایل× | جمعآوری داده مبتنی بر API× | |
|---|---|---|
| حوزه | روششناسی پیمایش | روششناسی پیمایش |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | Mid-2000s (smartphone-era formalization ~2006–2010) | 2000s–2010s (formalized as a research method) |
| پدیدآور≠ | Andrew Campbell, Tanzeem Choudhury, and colleagues (early smartphone sensing research); broader field of ubiquitous computing | Emerged from computational social science and web 2.0 platform practices |
| نوع≠ | Passive and active quantitative data collection technique | Digital data collection technique |
| منبع بنیادین≠ | Lane, N. D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., & Campbell, A. T. (2010). A survey of mobile phone sensing. IEEE Communications Magazine, 48(9), 140–150. DOI ↗ | Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648 |
| نامهای دیگر | mobile sensing, smartphone sensor data collection, wearable sensor data collection, passive mobile data collection | API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection |
| مرتبط≠ | 4 | 5 |
| خلاصه≠ | Mobile sensor data collection uses the built-in sensors of smartphones, tablets, or wearable devices to capture behavioral, physiological, and environmental data in real-world settings. Sensors such as accelerometers, GPS, heart rate monitors, ambient light detectors, and microphones record data passively or on demand, enabling researchers to study human behavior with high temporal resolution outside the laboratory. | API-based data collection is a systematic technique in which a researcher sends structured requests to an application programming interface to retrieve data automatically from digital platforms, databases, or services. It is the primary method used in computational social science to gather large-scale social media records, government open data, financial data streams, and scientific repository content in machine-readable formats such as JSON or XML, enabling reproducible and scalable data acquisition that manual collection cannot match. |
| ScholarGateمجموعهداده ↗ |
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