Social Computing: From Social Informatics to Social Intelligence

TLDR

Social computing is a new interdisciplinary paradigm expected to profoundly influence system and software development, with its scope and applications projected to expand. The paper aims to move social computing beyond social information processing toward social intelligence, addressing both theoretical and technological dimensions. This transition is achieved by modeling and analyzing social behavior, capturing human social dynamics, and creating artificial social agents that generate and manage actionable social knowledge.

Abstract

Social computing represents a new computing paradigm and an interdisciplinary research and application field. Undoubtedly, it strongly influences system and software developments in the years to come. We expect that social computing's scope continues to expand and its applications multiply. From both theoretical and technological perspectives, social computing technologies moves beyond social information processing towards emphasizing social intelligence. As we've discussed, the move from social informatics to social intelligence is achieved by modeling and analyzing social behavior, by capturing human social dynamics, and by creating artificial social agents and generating and managing actionable social knowledge