This paper delves into the paramount significance of information dissemination within the dynamic realm of social networks. It underscores the pivotal role of information communication models in unraveling the intricacies of data propagation in the digital age. By shedding light on the profound influence of these models, it not only lays the groundwork for exploring various hierarchies and their manifestations but also serves as a catalyst for further research in this formidable field.

For the first time in the world, South Korean researchers have developed and demonstrated a smart networking platform that uses edge computing technology converged with artificial intelligence. The platform can recognize faces and situations that take place around edge nodes to take appropriate actions and request emergency service or police support. Edge computing is a network technology that uses nodes located at the edge of a network as local servers that will primarily process data and communicate with the main server if only necessary. The edge computing method greatly reduces the computing burden put on the central server and reduces data traffic between the end-user and the main server. The data transfer speed increases as devices communicate with nodes that are located physically closer.

All around the world, the unprecedented events of 2020 have brought into focus the critical role that digital infrastructure plays in the functioning of virtually every aspect of contemporary society. More than ever before, communication technologies are providing innovative solutions to help address social, environmental and economic challenges by enhancing efficiency and enabling both intensified network usage and more well-informed decisions. One of the most important features of digital infrastructure is the ability to bridge distances and make it easier to efficiently meet societal needs in terms of resource utilization, collaboration, competence transfer, status verification, privacy protection, security and safety. The communications industry supports other industries by enabling them to deliver digital products and services such as health care, education, finance, commerce, governance and agriculture. It also plays a vital role in tackling climate change by helping other industries reduce emissions and improve efficiency.

As 5G networks are rolled out globally, they will support exciting use cases ranging from mission-critical and industrial IoT applications to connected healthcare and smart city ecosystems. The progress across a wide range of industries now ready to use 5G is very exciting. This is an area where our industry-leading researchers have pioneered the work and innovated in cross-industry collaborations. As they imagined a 5G world, they needed to develop capabilities to meet the needs of all kinds of industries. Now much of what they imagined is becoming a reality.

The combination of software-defined networking and machine learning/artificial intelligence is becoming a powerful tool for making networks more reliable and secure. And while not everyone is willing to talk about their activities yet -- CenturyLink Inc. (NYSE: CTL) and Verizon Communications Inc. (NYSE: VZ) declined interview requests on this topic -- a peek inside what is happening at AT&T Inc. (NYSE: T) and Level 3 Communications Inc. (NYSE: LVLT) offers a clear view of what's possible. In this first of two stories, executives at those companies share how machine learning and AI are being built into their networks today. As Mazin Gilbert, AVP of Intelligent Services at AT&T Labs, explains, artificial intelligence and machine learning are hardly new concepts, nor is the idea of using these tools to improve network performance and security. There was talk about that as far back as the 1980s, he says.