The graph represents a network of 2,061 Twitter users whose recent tweets contained "#CES2023", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 20 February 2023 at 16:20 UTC. The tweets in the network were tweeted over the 10-day, 3-hour, 5-minute period from Friday, 10 February 2023 at 13:00 UTC to Monday, 20 February 2023 at 16:05 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

The graph represents a network of 1,081 Twitter users whose tweets in the requested range contained "iiot machinelearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 04 February 2022 at 12:05 UTC. The requested start date was Friday, 04 February 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 2-day, 21-hour, 2-minute period from Tuesday, 01 February 2022 at 03:57 UTC to Friday, 04 February 2022 at 01:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

The graph represents a network of 2,085 Twitter users whose tweets in the requested range contained "#cloudcomputing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 October 2022 at 15:12 UTC. The requested start date was Monday, 17 October 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 2-day, 10-hour, 26-minute period from Friday, 14 October 2022 at 13:27 UTC to Sunday, 16 October 2022 at 23:53 UTC.

The graph represents a network of 2,089 Twitter users whose tweets in the requested range contained "tech4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 17 September 2022 at 18:32 UTC. The requested start date was Saturday, 17 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 13-day, 15-hour, 51-minute period from Saturday, 03 September 2022 at 06:52 UTC to Friday, 16 September 2022 at 22:43 UTC.

The graph represents a network of 1,946 Twitter users whose tweets in the requested range contained "#cloudcomputing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 19 September 2022 at 15:07 UTC. The requested start date was Monday, 19 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 2-day, 3-hour, 28-minute period from Thursday, 15 September 2022 at 22:50 UTC to Sunday, 18 September 2022 at 02:19 UTC.

The graph represents a network of 1,148 Twitter users whose tweets in the requested range contained "iiot ai", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 28 May 2021 at 10:22 UTC. The requested start date was Friday, 28 May 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 2-day, 1-hour, 36-minute period from Tuesday, 25 May 2021 at 22:22 UTC to Thursday, 27 May 2021 at 23:58 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

The graph represents a network of 1,952 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 28 August 2022 at 01:54 UTC. The requested start date was Sunday, 28 August 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 6-day, 11-hour, 15-minute period from Sunday, 21 August 2022 at 12:45 UTC to Sunday, 28 August 2022 at 00:00 UTC.

The graph represents a network of 1,311 Twitter users whose tweets in the requested range contained "tech4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 13 August 2022 at 18:33 UTC. The requested start date was Saturday, 13 August 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 13-day, 19-hour, 26-minute period from Saturday, 30 July 2022 at 04:34 UTC to Saturday, 13 August 2022 at 00:00 UTC.

The graph represents a network of 1,935 Twitter users whose tweets in the requested range contained "#cloudcomputing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 15 August 2022 at 15:08 UTC. The requested start date was Monday, 15 August 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 2-day, 5-hour, 56-minute period from Friday, 12 August 2022 at 18:03 UTC to Sunday, 14 August 2022 at 23:59 UTC.

The graph represents a network of 2,308 Twitter users whose tweets in the requested range contained "InsurTech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 12 August 2022 at 12:34 UTC. The requested start date was Friday, 12 August 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 5-day, 11-hour, 8-minute period from Saturday, 06 August 2022 at 12:48 UTC to Thursday, 11 August 2022 at 23:57 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.