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This paper proposes a taxonomy for data types on Online Social Networks (OSNs) to clarify discussions among researchers and educate end users about the implications of OSN data types, focusing on
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How to fill out Taxonomy for Social Network Data Types

01
Identify the main categories of social network data relevant to your analysis.
02
Define subcategories within each main category for detailed classification.
03
Use a consistent naming convention for categories and subcategories to maintain clarity.
04
Assign examples or use cases that fit each category and subcategory for practical reference.
05
Review and refine the taxonomy with team members or stakeholders to ensure comprehensiveness.
06
Document the taxonomy structure, explaining the rationale behind each category for future reference.

Who needs Taxonomy for Social Network Data Types?

01
Data analysts who need to structure social network data for analysis.
02
Researchers studying social dynamics and behaviors on social platforms.
03
Businesses seeking to categorize user-generated content for marketing strategies.
04
Developers creating applications that analyze social network interactions.
05
Academics who need a standardized classification for comparative studies.
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Taxonomy for Social Network Data Types is a classification system that categorizes different types of social network data based on their characteristics, structure, and usage. It helps in understanding the relationships and interactions among various data types within social networks.
Organizations and entities that collect, analyze, or report social network data must file the Taxonomy for Social Network Data Types. This includes researchers, social media platforms, and any business utilizing social network data for their operations.
To fill out the Taxonomy for Social Network Data Types, one must identify the relevant data categories, specify the attributes of the data, and provide details on the source, format, and context of the data collected. It's essential to follow the guidelines established for classification.
The purpose of Taxonomy for Social Network Data Types is to standardize the classification of social network data to facilitate better understanding, sharing, and analysis of the data. It also aids in compliance with reporting and regulatory requirements.
Information that must be reported includes the type of social network data, classification categories, relevant attributes, data sources, collection methods, and any usage statistics or performance metrics linked to the data.
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