Application Lecture 4: Pervasive and Social Sensing

The widespread use of sensors in various environments to gather data about the physical world. It aims to achieve ubiquitous sensing, making data collection and analysis accessible from anywhere.

The use of smartphones and other user-generated data to collect and analyze information about human behavior, social trends, and societal patterns.

A network of interconnected devices that collect and exchange data about the physical world. These devices range from simple sensors to complex systems, enabling various applications and automation.

Using smartphones as sensors to gather data about the environment and user behavior. Smartphones are equipped with various sensors, allowing them to collect information on location, movement, light, sound, and more.

The ability of smartphones, with their powerful processing capabilities and abundant storage, to manage and control sensor networks. Smartphones act as central hubs for data collection, processing, and analysis in various sensor deployments.

The ability of smartphones to collect data about their surroundings and users, using sensors like GPS, cameras, and accelerometers.

The ability of smartphones to be used to control and monitor various devices and appliances remotely, using internet connectivity.

A collection of sensors in a mobile device that can measure things like acceleration, rotation, and magnetic fields.

A metric that measures the strength of a user's connection to their social group. It represents the quantity & quality of their relationships within a social network.

Indicates the degree to which a node's connectivity is constrained within a social network. It measures how limited a node's connections are.

The proportion of time a user spends interacting with another user in a social network. Calculated by dividing time spent with a specific user by total time spent with all users.

The formula used to measure the network constraint (Ni) of a node in a social network. It reflects the average time spent by the node with each of its connections.

In a social network, the node with a lower network constraint value has a stronger connectivity. This means they are more sociable and have a wider range of relationships.

A business model where a company uses technology to connect users with services, often using a platform that facilitates transactions and payments. Examples: Uber, Didi Taxi, KuaiChe Taxi.

The process of using the cloud to process and analyze data from sensors, enabling a wide range of applications.

Smart machines and objects gathering, analyzing, and exchanging data throughout the internet and physical world. This network allows for enhanced efficiency, automation, and intelligent decision-making.

The rapid adoption of digital infrastructure, such as the Internet of Things, is happening faster than the adoption of previous technologies like electricity and telephony. This means we are seeing a dramatic increase in the number of connected devices and services in a shorter period.

A point in time where a trend or technology experiences significant growth and adoption. In the context of IoT, the inflection point is the moment when the number of connected devices surged globally.

A collection of interconnected elements - People, Process, Data, and Things - that work together to create a system for information exchange and intelligent decision making. This network enables us to understand data, connect people, and automate processes.

The process of collecting and analyzing vast amounts of data from various sources to extract meaningful insights and patterns. This data can be used to improve decision making, optimize processes, and develop new solutions.