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ICSINA · Registering as Listener

International Conference on Social Informatics and Network Analysis

26th Dec – 27th Dec 2026 Florence, Italy Standard / Physical Participation

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ConferenceICSINA

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Conference Session Tracks

SDG-Aligned Research Themes

International Conference on Social Informatics and Network Analysis conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 9 - Industry, Innovation and Infrastructure

This track explores the intersection of social informatics and contemporary digital technologies. It focuses on how these technologies shape social interactions and influence information dissemination.

This session delves into the methodologies and applications of network analysis within social sciences. Participants will discuss the implications of social networks on community dynamics and individual behavior.

This track investigates the linguistic features and communication styles prevalent in online communities. It aims to uncover how language shapes social identity and group cohesion in digital spaces.

This session focuses on the use of computational methods to analyze social data. Researchers will present innovative techniques for extracting insights from large-scale social datasets.

This track examines the significance of digital traces left by users in online environments. It aims to understand how these traces can inform our understanding of social behavior and interactions.

This session explores the structure and function of knowledge networks within information systems. Discussions will center on how these networks facilitate knowledge sharing and collaboration.

This track addresses the latest trends and challenges in social media analysis. Participants will explore methodologies for understanding user engagement and content dissemination on various platforms.

This session focuses on the dynamics of collaborative networks within social contexts. It will highlight case studies that illustrate the impact of collaboration on community development and social capital.

This track investigates the applications of graph theory in social research. Participants will discuss how graph-based models can enhance our understanding of social structures and relationships.

This session explores the modeling of digital interactions and their implications for social science research. It aims to provide insights into the patterns and behaviors exhibited in online environments.

This track examines the concept of social capital in the context of online interactions. Discussions will focus on how digital platforms facilitate the building and maintenance of social networks.