The International Conference on Complex Networks & their Applications (CNA) seeks to unite researchers from various disciplines who study complex networks. It welcomes two types of submissions: theoretical insights derived from real-world challenges and practical case studies showcasing applied methodologies. The conference’s goal is to foster collaboration and exchange between researchers focusing on theory and those engaged in practical applications.
A vast number of topics fall under the conference’s umbrella of complex networks research. Key research areas that the conference highlights include the modeling, structural properties, and dynamics of complex networks, as well as specialized themes—such as community discovery, link prediction, synchronization, controllability, and motif discovery. Applications in various domains are also emphasized, including biological, technological, financial, economic, political, and physical infrastructure networks. The conference also focuses on computational methods like visualization techniques, network analysis algorithms, graph signal processing, and large-scale graph analytics. Alongside these focuses, the conference explores social applications, such as information spreading, social influence, reputation, trust, and viral marketing, with a particular interest in social media, mobility, and smart systems.
From December 10 to 12, 2024, the 13th CNA conference was held at Istanbul, Turkey. This year COSMOS had 6 papers accepted, presented, and published at the conference. Several cosmographers traveled to the conference with Prof. Agarwal to present their research with travel support from the university and COSMOS. The following is a list of papers from cosmographers that were published in the conference:
- Combating Toxicity: A Systematic Approach to Model Quarantine Intervention for Varied Toxicity Levels
- Tracking Narrative Dynamics Using Churn Management on Social Networks
- Anomalous Channel Detection for YouTube through Label Propagation
- Decoding Digital Dissent through Focal Network Structures
- Examining the Impact of Symbolic Content on YouTube’s Recommendation System
- Modeling Toxicity Propagation on Reddit using Epidemiology
The subsequent editions of our newsletter will do a deep dive into these studies and describe their implications to science and society.