Vol. 3 No. 1 (2024): Perspectivas Tecnológicas: Desde grafos sociales hasta contratos inteligentes

The third volume, number 1 of the Sociencytec Journal addresses three relevant topics in the field of technology and science. The first article, "Artificial Intelligence in Medical Diagnosis: A Deep Learning-Based Approach," explores the impact of artificial intelligence in medical diagnosis, highlighting the use of deep learning techniques to improve accuracy and efficiency in diagnosis. The second article, "Optimization of Graph Search Algorithms for Social Networks," focuses on optimizing algorithms to efficiently analyze social networks. It explores how these algorithms can identify behavioral patterns, find communities, and detect influences within social networks. The third article, "Cybersecurity: Emerging Threats and Defense Strategies," addresses emerging threats in the cybersecurity field, such as ransomware, phishing attacks, and cyber espionage. Additionally, it explores the defense strategies being developed to protect systems and data from these threats. These articles provide a comprehensive overview of relevant topics in the field of technology, ranging from the impact of artificial intelligence in medical diagnosis to the optimization of algorithms for social network analysis and defense strategies in cybersecurity.