পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| মোবাইল সেন্সর ডেটা সংগ্রহ× | API-ভিত্তিক ডেটা সংগ্রহ× | |
|---|---|---|
| ক্ষেত্র | জরিপ পদ্ধতি | জরিপ পদ্ধতি |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | Mid-2000s (smartphone-era formalization ~2006–2010) | 2000s–2010s (formalized as a research method) |
| প্রবর্তক≠ | 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 |
| ধরন≠ | Passive and active quantitative data collection technique | Digital data collection technique |
| মৌলিক উৎস≠ | 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 |
| অপর নাম | 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 |
| সম্পর্কিত≠ | 4 | 5 |
| সারসংক্ষেপ≠ | 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. |
| ScholarGateডেটাসেট ↗ |
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