The graph represents a network of 4,286 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 09 September 2022 at 00:34 UTC. The requested start date was Friday, 09 September 2022 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 3-day, 22-hour, 21-minute period from Sunday, 04 September 2022 at 04:39 UTC to Thursday, 08 September 2022 at 03:00 UTC.

The graph represents a network of 5,243 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 24 June 2022 at 00:23 UTC. The requested start date was Friday, 24 June 2022 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 4-day, 13-hour, 3-minute period from Saturday, 18 June 2022 at 13:56 UTC to Thursday, 23 June 2022 at 03:00 UTC.

The graph represents a network of 5,296 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 01 October 2021 at 00:42 UTC. The requested start date was Friday, 01 October 2021 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 3-day, 20-hour, 38-minute period from Sunday, 26 September 2021 at 06:21 UTC to Thursday, 30 September 2021 at 03:00 UTC.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Hyper-Intelligence refers to higher, super-intelligent abilities to accomplish complex tasks. For instance, hyper-intelligent humans are individuals gifted with extraordinary intellectual aptitudes and are capable of solving the world's most challenging problems. Hyper-Intelligence is an inter-disciplinary field that studies hyper-connections, hyper-compositions, hyper-collaborations, and hyper-cognition of intelligent entities in various forms and functions that can be physical or digital, local or remote. Currently, hyper-intelligent systems are rapidly emerging and cover a multitude of application domains such as artificially intelligent chess engines, self-driving vehicles, autonomous weapons, automated drug discoveries, smart cities, etc. Hyper-intelligent systems will usher in a new age of cyber-physical-social-human interactions, revolutionizing and reshaping the world as we know it. The research, development, and deployment of hyper-intelligence are facing great challenges, and include the following topics: Hyper-intelligent system classifications, representations and models: Hyper-intelligent system theory, methodology and design; Hyper-intelligent system frameworks, middleware, architectures and standards; Hyper-connections of multi or massive intelligent entities; Hyper-compositions of heterogeneous intelligent entities; Hyper-collaborations of different intelligent entities; Hyper-cognition for stronger or super intelligence; Hyper-intelligence with hybrid machine, human, crowd and cyber; Hyper-intelligence with emotion, culture and personality; Hyper-intelligent sensing, processing, monitoring and controlling; Hyper-intelligent system security, privacy and trust; Hyper-intelligent system safety and controllability; Hyper-intelligent system impact to humans, society, ethics and law; Hyper-intelligent system applications; Hyper-intelligent technologies related to artificial intelligence, big data, internet-of-things, cloud computing, edge computing, quantum computing, blockchain, and emerging scenarios.

The graph represents a network of 4,670 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 January 2022 at 01:42 UTC. The requested start date was Friday, 14 January 2022 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 5-day, 6-hour, 33-minute period from Friday, 07 January 2022 at 20:15 UTC to Thursday, 13 January 2022 at 02:48 UTC.

Verdict lists the top five terms tweeted on future cities in Q2 2021, based on data from GlobalData's Influencer Platform. The top tweeted terms are the trending industry discussions happening on Twitter by key individuals (influencers) as tracked by the platform. The importance of analytics and visualisations for city governments, how smart cities can unlock the full potential of IoT, and the applications of IoT in smart cities and smart buildings were some of the trending discussions in Q2. Kirk Borne, data scientist at DataPrime, an artificial intelligence (AI)-based solutions provider, shared an article on the importance of analytics and visualisation for city governments. Government policymakers are required to collect and store data to ensure data privacy across organisations and to enable the provision of services that boost the economy.

GlobalData research has found the top influencers in future cities based on their performance online and on social media.Using research from GlobalData's Influencer platform, Verdict has named ten of the most influential people and companies in digital construction on Twitter during Q4 2020. Ronald Van Loon is a principal analyst and CEO of the Intelligent World, an influencer network connecting businesses and experts with new tech, artificial intelligence (AI), analytics, and data enthusiasts. He is a recognised thought leader in technologies such as AI, the internet of things (IoT), machine learning, and 5G, among others. Loon is an advisory board member at Simplilearn, an education management company and has also served as director of Advertisement, an information technology and services company. Glen Gilmore is the founding faculty for digital marketing programmes at the Rutgers University School of Business.

The graph represents a network of 4,768 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 24 July 2020 at 00:48 UTC. The requested start date was Friday, 24 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 2-day, 20-hour, 23-minute period from Monday, 20 July 2020 at 09:08 UTC to Thursday, 23 July 2020 at 05:32 UTC.

From Ronald van Loon to Sandy Carter, leading data and analytics company GlobalData has identified the top influencers in Internet of Things (IoT) in Q3 2019, based on data research from the company's Influencer platform. Ronald van Loon currently works as the Director at Advertisement and is recognised as a top influencer of disruptive technologies such as IoT, artificial intelligence (AI), and big data. Fabienne Neymarck is a reverse logistic manager at ascendeo France, a consumer electronics company. He provides transport relations to the INNOV8 group and has been involved in the pilotage of service providers, including invoicing, implementation of projects, and providing quality service. Evan Kirstel is a social media influencer who helps clients to leverage social media channels to improve sales and networking.

Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is'normal' for all devices and users, updating its understanding as the environment changes. By applying its unsupervised machine learning, Darktrace has identified previously unknown threats in over 7,000 networks, including zero-days, insider threats and subtle, stealthy attacks. With 700 employees in over 32 offices and dual headquarters in San Francisco and Cambridge UK, Darktrace was named one of the'World's Most Innovative Companies' by FastCompany and one of CNBC's Disruptor 50.