Title: Empowering Social Network Intelligence with AI Agents

AI agents, powered by advancements in large language models (LLMs) and multimodal AI technologies, are revolutionizing social networks by offering deeper insights into user interactions, content dynamics, and community behaviors. These intelligent agents leverage the combined capabilities of LLMs and visual language models (VLMs) to analyze complex social ecosystems across diverse data modalities, including text, images, and videos. By harnessing cutting-edge AI methodologies, they tackle critical challenges such as sentiment analysis, influence detection, misinformation mitigation, and personalized content curation, fostering more engaging, trustworthy, and adaptive social platforms. This workshop will explore the latest advancements and real-world applications of AI agents in enhancing social network intelligence through multimodal learning and adaptive content strategies. These agents autonomously analyze vast social datasets, identify emerging trends, and optimize content distribution through advanced techniques such as social graph modeling, spatio-temporal analytics, and multi-agent collaboration. The generative and analytical power of LLMs and VLMs enables AI agents to detect intricate behavioral patterns, anticipate viral trends, and respond dynamically to the evolving social landscape. Moreover, AI agents equipped with social intelligence frameworks can interpret emotional cues, cultural contexts, and behavioral shifts, fostering more meaningful and personalized digital interactions. The workshop will highlight how these AI-driven solutions can empower social networking platforms to create scalable, inclusive, and user-centric ecosystems, driving the future of online engagement and community-building.

• AI Agent
• Multimodal Agent
• Social Network
• Large Language Models
• Visual Language Models
• ICBDSE | Workshop