Social Media Analytics involves collecting, analyzing, and interpreting data from social media platforms to extract actionable insights. It encompasses various methods such as sentiment analysis, engagement metrics, audience demographics, and competitive analysis. Social Media Analytics helps businesses understand audience behavior, measure the effectiveness of marketing efforts, identify trends, and make data-driven decisions to optimize their social media strategies.Social Media Analytics involves collecting, analyzing, and interpreting data from social media platforms to extract actionable insights. It encompasses various methods such as sentiment analysis, engagement metrics, audience demographics, and competitive analysis. Social Media Analytics helps businesses understand audience behavior, measure the effectiveness of marketing efforts, identify trends, and make data-driven decisions to optimize their social media strategies.Social Media Analytics involves collecting, analyzing, and interpreting data from social media platforms to extract actionable insights. It encompasses various methods such as sentiment analysis, engagement metrics, audience demographics, and competitive analysis. Social Media Analytics helps businesses understand audience behavior, measure the effectiveness of marketing efforts, identify trends, and make data-driven decisions to optimize their social media strategies.Social Media Analytics involves collecting, analyzing, and interpreting data from social media platforms to extract actionable insights. It encompasses various methods such as sentiment analysis, engagement metrics, audience demographics, and competitive analysis. Social Media Analytics helps businesses understand audience behavior, measure the effectiveness of marketing efforts, identify trends, and make data-driven decisions to optimize their social media strategies.Social Media Analytics involves collecting, analyzing, and interpreting data from social media platforms to extract actionable insights. It encompasses various methods such as sentiment analysis, engagement metrics, audience demographics, and competitive analysis. Social Media Analytics helps businesses understand audience behavior, measure the effectiveness of marketing efforts, identify trends, and make data-driven decisions to optimize their social media strategies.Social Media Analytics involves collecting, analyzing, and interpreting data from social media platforms to extract actionable insights. It encompasses various methods such as sentiment analysis, engagement metrics, audience demographics, and competitive analysis. Social Media Analytics helps businesses understand audience behavior, measure the effectiveness of marketing efforts, identify trends, and make data-driven decisions to optimize their social media strategies.Social Media Analytics involves collecting, analyzing, and interpreting data from social media platforms to extract actionable insights. It encompasses various me

1. Social Media
Anaytics

2. Social media
analytics
• Social media analytics is the process
of gathering and analyzing data from
social media platforms to gain
insights into your performance and
inform your social media strategy. It's
like having a spotlight shining on your
social media presence, revealing
what's working, what's not, and
where you can improve.

3. key uses of social
media analytics
• Measure performance: Track key metrics like
reach, engagement, clicks, and conversions to
understand how your content is performing
and whether it's achieving your goals.
• Understand your audience: Gain insights into
who your audience is, what they're interested
in, and how they're interacting with your
content.
• Identify trends: Discover emerging trends and
topics relevant to your brand or industry,
allowing you to stay ahead of the curve and
tailor your content accordingly.

4. key uses of social
media analytics
• Monitor brand sentiment: Analyze the
sentiment of conversations surrounding your
brand to understand how people perceive you
and address any negative feedback.
• Optimize your strategy: Use the data to refine
your social media strategy, including the type
of content you create, the platforms you use,
and the times you post.
• Benchmark against competitors: Compare
your performance to your competitors to
identify areas for improvement and track
industry trends.

6. The Social Media
Analytics
Process:
• Define Your Goals and Objectives
• Choose Your Tools
• Collect Data
• Analyze and Interpret the Data
• Take Action
• Measure and Adjust

8. Seven Layers of Social Media Analytics
• Text Layer: Analyzes the actual written content (posts, comments, messages) for sentiment and
understanding.
• Networks Layer: Examines the connections between users to identify communities and
influencers.
• Actions Layer: Analyzes user interactions (likes, comments, shares, clicks) to gauge engagement
and content preference.
• Mobile Layer: (Previously Apps Layer) Considers the specific apps and devices used for accessing
social media, aiding in content tailoring and targeting.
• Hyperlinks Layer: Analyzes shared links to understand user interests and information sources.
• Location Layer: (Previously Search Engine Layer) Analyzes the geographic location of users to
understand audience demographics and tailor campaigns regionally.

9. Accessing Social
Media Data
• A Social Media Analytics API allows
developers to access data from social
media platforms like Facebook or Twitter.
It provides insights such as likes,
comments, and follower demographics,
helping analyze user engagement and
campaign effectiveness. Developers use
these APIs to integrate social media data
into their applications or tools for better
decision-making.

12. • Web scraping is the automated process of extracting data from
websites using software tools or scripts, typically for purposes
such as data mining or content aggregation. It involves
accessing web pages, retrieving desired information, and
storing it in a structured format.

13. Social Network Analysis.
• SNA, or Social Network Analysis, studies the structure and dynamics
of social networks. It involves analyzing connections between
individuals or entities to understand patterns, influence, and
information flow. SNA often uses visualizations and mathematical
techniques to uncover insights about social relationships and
behaviors.

14. Methods
• Link Prediction:
• Community Detection:
• Influence Maximization:
• Expert Finding:
• Prediction of Trust and Distrust
Among Individuals: