Hybrid Conferencee

International Conference on Social Media Data Analytics and Influence (ICSMDAI - 26)

9th - 10th December 2026 | Munich, Germany

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Munich conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Munich, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Munich."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 10
SDG 10 Reduced Inequalities
Track 01

Innovations in Social Media Analytics

This track focuses on the latest advancements in social media analytics methodologies and tools. Researchers are invited to present novel approaches that enhance the extraction and interpretation of data from social media platforms.

Track 02

Sentiment Analysis and Opinion Mining

This session explores techniques for sentiment analysis and opinion mining within social media data. Contributions should address challenges in accurately gauging public sentiment and the implications for business decision-making.

Track 03

Predictive Modeling in Social Media Contexts

This track emphasizes the application of predictive modeling techniques to forecast trends and user behaviors based on social media data. Papers should demonstrate the effectiveness of these models in real-world business scenarios.

Track 04

Engagement Analytics and User Behavior

This session investigates the metrics and methodologies used to analyze user engagement on social media platforms. Contributions should highlight how understanding user behavior can inform marketing strategies and enhance customer relationships.

Track 05

Network Analysis and Social Influence

This track delves into network analysis techniques to understand social influence dynamics within online communities. Researchers are encouraged to present findings that reveal how influence propagates through social networks.

Track 06

Data Mining Techniques for Social Media Insights

This session covers data mining techniques specifically tailored for extracting insights from vast social media datasets. Papers should focus on innovative algorithms and their applications in business contexts.

Track 07

Content Analysis and Trend Detection

This track focuses on methodologies for content analysis and the detection of emerging trends in social media. Contributions should explore how businesses can leverage these insights for strategic planning and marketing.

Track 08

Machine Learning Applications in Social Media

This session highlights the role of machine learning in analyzing social media data for business applications. Researchers are invited to present case studies that demonstrate the impact of machine learning techniques on social media analytics.

Track 09

Big Data and Social Media Integration

This track examines the integration of big data technologies with social media analytics. Papers should discuss the challenges and opportunities presented by large-scale data processing in deriving actionable business insights.

Track 10

Data Visualization for Social Media Insights

This session explores innovative data visualization techniques that enhance the understanding of social media analytics. Contributions should demonstrate how effective visualization can facilitate better decision-making in business contexts.

Track 11

Online Reputation Management through Analytics

This track focuses on the role of social media analytics in managing online reputation. Researchers are invited to present frameworks and strategies that businesses can adopt to monitor and enhance their digital presence.