# social media analytics

> process of gathering and analyzing data from social media

**Wikidata**: [Q1140126](https://www.wikidata.org/wiki/Q1140126)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Social_media_analytics)  
**Source**: https://4ort.xyz/entity/social-media-analytics

## Summary
Social media analytics is the process of gathering and analyzing data from social media platforms to uncover meaningful patterns, trends, and insights. It involves collecting user-generated content, engagement metrics, and network interactions to inform decision-making, marketing strategies, and research.

## Key Facts
- A subclass of **analytics**, focusing specifically on social media data.
- Related to **social network analysis software** and **graph neural networks** for advanced data processing.
- Studied by **social media marketers** and used in fields like **social media marketing**.
- Includes methods like **historical network analysis** for research purposes.
- Used by companies such as **Brand24** (founded 2011) and **Lamplight Analytics** for monitoring and analysis.
- Involves tools like **MyNetworkmap** for visualizing and analyzing social networks.
- Researcher **Mykola Makhortykh** has contributed to the field.
- Linked to **nodegoat**, a web-based research environment for humanities studies.
- Includes **graph neural networks** for specialized data tasks.
- Recognized as a **field of study** with aliases like **social network analysis** and **social media analysis**.

## FAQs
### Q: What is the difference between social media analytics and social network analysis?
A: Social media analytics focuses on analyzing data from social media platforms, while social network analysis examines the structure and relationships within social networks, often using specialized software.

### Q: Who uses social media analytics?
A: Social media analytics is used by researchers, marketers, and companies to gather insights, monitor trends, and inform decision-making.

### Q: What tools are used for social media analytics?
A: Tools include **Brand24**, **Lamplight Analytics**, and **MyNetworkmap**, which help collect, visualize, and analyze social media data.

### Q: How is social media analytics related to graph neural networks?
A: Graph neural networks are specialized artificial neural networks designed for tasks involving graph-structured data, which is common in social media analytics.

### Q: What is the role of social media analytics in marketing?
A: Social media analytics helps marketers understand audience behavior, measure campaign performance, and optimize strategies by analyzing engagement and content trends.

## Why It Matters
Social media analytics plays a crucial role in understanding digital communication, influencing marketing strategies, and enabling research across various fields. By analyzing user-generated content, engagement metrics, and network interactions, it provides valuable insights for businesses, researchers, and policymakers. This process helps identify trends, measure the impact of campaigns, and inform decisions in real-time. The field is closely tied to social network analysis software and advanced techniques like graph neural networks, which enhance the ability to process and interpret complex data. Companies like Brand24 and Lamplight Analytics leverage these methods to monitor social media activity and derive actionable intelligence. Overall, social media analytics is essential for navigating the vast and dynamic landscape of online communication.

## Notable For
- A recognized **field of study** with applications in marketing, research, and data analysis.
- Linked to **social network analysis software** and **graph neural networks** for advanced data processing.
- Used by companies like **Brand24** and **Lamplight Analytics** for monitoring and trend analysis.
- Involves tools such as **MyNetworkmap** for visualizing social networks.
- Recognized by researchers like **Mykola Makhortykh** in the field.

## Body
### Definition and Scope
Social media analytics is the systematic process of gathering and analyzing data from social media platforms to uncover meaningful patterns, trends, and insights. It encompasses methods for collecting user-generated content, engagement metrics, and network interactions to inform decision-making, marketing strategies, and research.

### Relationships and Subfields
- **Subclass of analytics**, focusing on social media data.
- Related to **social network analysis software** and **graph neural networks** for advanced data processing.
- Includes **historical network analysis** for research purposes.
- Studied by **social media marketers** and used in **social media marketing**.

### Tools and Technologies
- **Brand24** (founded 2011) and **Lamplight Analytics** are notable companies in the field.
- **MyNetworkmap** is an online service for collecting, visualizing, and analyzing social networks.
- **Graph neural networks** are specialized artificial neural networks designed for tasks involving graph-structured data.

### Research and Contributors
- **Mykola Makhortykh** is a researcher in the field.
- Linked to **nodegoat**, a web-based research environment for humanities studies.

### Applications and Impact
- Used for monitoring and trend analysis in marketing and research.
- Helps identify trends, measure campaign performance, and inform real-time decisions.
- Essential for navigating the dynamic landscape of online communication.

## Schema Markup
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  "@type": "Thing",
  "name": "Social media analytics",
  "description": "Process of gathering and analyzing data from social media to uncover meaningful patterns and insights.",
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## References

1. Freebase Data Dumps. 2013
2. [Source](https://socialfried.com/)
3. [OpenAlex](https://docs.openalex.org/download-snapshot/snapshot-data-format)