ASONAM 2023 - The 2023 IEEE/ACM International Conference on
Advances in Social Networks Analysis and Mining
Pine Bay Holiday Resort
Kusadasi, Turkey, 6-9 November 2023

The 2023 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining

Welcome to ASONAM 2023

The photos from ASONAM 2023 are avaiable here

Good news: ASONAM has been included in CORE

For more than a century, social networks have been studied in a variety of disciplines including sociology, anthropology, psychology, and economics. The Internet, the social Web, and other large-scale, socio-technological infrastructures have triggered a growing interest and significant methodological advancements in social network analysis and mining. Method development in graph theory, statistics, data mining and machine learning, and statistical mechanics is inspired by new research problems and, in turn, opens up further possibilities for application. These spiraling trends have led to a rising prominence of social network analysis and mining methods and tools in academia, politics, security, and business.
The international conference series on Advances in Social Network Analysis and Mining (ASONAM 2023) provides an interdisciplinary venue that brings together researchers and practitioners from a broad variety of fields to promote collaborations and exchange of ideas and practices. ASONAM 2023 is intended to address important aspects with a specific focus on emerging trends and industry needs. The conference solicits empirical, experimental, methodological, and theoretical research reporting original and unpublished results on social network analysis and mining along with applications.



Application domains

Data collection and quality Centrality and roles Attributed networks
Big data and scalability Community detection Online and offline social networks
Deep learning and embeddings Link prediction Multirelational, multidimensional, multi-aspect, multilayer networks
Statistical learning Information diffusion Feature-rich networks
Algorithms and techniques Influence propagation Time-evolving networks
Visualization Anomaly detection Probabilistic networks
Modeling and simulation Network macro structures Semantic networks
Explainable network analysis Network evolution Social geography and spatial Networks
Emergence Social, cultural, and cyber anthropology
Privacy and security Policy impact and analysis
Collective behavior Networks in biology and ecology
Crowd sourcing Digital Humanities
Social Recommender Systems
Misinformation and Misbehavior Analysis and Detection
Reputation and Trust in Social Networks
Fairness Bias and Transparency in Social Media