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iot bigdata, Twitter, 3/15/2023 11:47:32 AM, 291249

#artificialintelligence

The graph represents a network of 1,419 Twitter users whose recent tweets contained "iot bigdata", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 11:43 UTC. The tweets in the network were tweeted over the 2136-day, 23-hour, 8-minute period from Monday, 08 May 2017 at 00:51 UTC to Tuesday, 14 March 2023 at 23:59 UTC. There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above. The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.


iot machinelearning, Twitter, 3/15/2023 12:21:31 PM, 291256

#artificialintelligence

The graph represents a network of 1,692 Twitter users whose recent tweets contained "iot machinelearning", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/14/2023 5:00:36 PM. The network was obtained from Twitter on Wednesday, 15 March 2023 at 12:17 UTC. The tweets in the network were tweeted over the 2072-day, 12-hour, 58-minute period from Tuesday, 11 July 2017 at 11:00 UTC to Tuesday, 14 March 2023 at 23:59 UTC. There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above. The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.


iiot bigdata, Twitter, 3/10/2023 12:05:36 PM, 290794

#artificialintelligence

The graph represents a network of 1,072 Twitter users whose recent tweets contained "iiot bigdata", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 12:02 UTC. The tweets in the network were tweeted over the 1827-day, 0-hour, 27-minute period from Friday, 09 March 2018 at 00:30 UTC to Friday, 10 March 2023 at 00:58 UTC. There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above. The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.


iiot machinelearning, Twitter, 3/10/2023 12:27:09 PM, 290795

#artificialintelligence

The graph represents a network of 1,371 Twitter users whose recent tweets contained "iiot machinelearning", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 12:23 UTC. The tweets in the network were tweeted over the 1827-day, 0-hour, 27-minute period from Friday, 09 March 2018 at 00:30 UTC to Friday, 10 March 2023 at 00:58 UTC. There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above. The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.


NodeXL Twitter NodeXL SNA Map and Report for Tuesday, 21 February 2023 at 17:49 UTC

#artificialintelligence

The graph represents a network of 670 Twitter users whose recent tweets contained "NodeXL", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 2/14/2023 9:49:15 AM and 2/21/2023 9:49:15 AM. The network was obtained from Twitter on Tuesday, 21 February 2023 at 17:50 UTC. The tweets in the network were tweeted over the 1376-day, 0-hour, 38-minute period from Friday, 17 May 2019 at 17:01 UTC to Tuesday, 21 February 2023 at 17:39 UTC. There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above. The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.


iiot bigdata, Twitter, 2/10/2023 12:06:10 PM, 289067

#artificialintelligence

The graph represents a network of 1,076 Twitter users whose recent tweets contained "iiot bigdata", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 12:02 UTC. The tweets in the network were tweeted over the 1037-day, 2-hour, 12-minute period from Wednesday, 08 April 2020 at 22:47 UTC to Friday, 10 February 2023 at 01:00 UTC. There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above. The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.


generative AI Twitter NodeXL SNA Map and Report for Saturday, 11 February 2023 at 16:47 UTC

#artificialintelligence

The graph represents a network of 17,999 Twitter users whose recent tweets contained "generative AI", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 2/11/2023 8:47:19 AM. The network was obtained from Twitter on Saturday, 11 February 2023 at 17:02 UTC. The tweets in the network were tweeted over the 3270-day, 20-hour, 55-minute period from Thursday, 27 February 2014 at 19:51 UTC to Saturday, 11 February 2023 at 16:47 UTC. There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above. The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.


iiot machinelearning, Twitter, 2/10/2023 12:29:00 PM, 289068

#artificialintelligence

The graph represents a network of 1,389 Twitter users whose recent tweets contained "iiot machinelearning", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 12:24 UTC. The tweets in the network were tweeted over the 1474-day, 5-hour, 23-minute period from Sunday, 27 January 2019 at 19:36 UTC to Friday, 10 February 2023 at 01:00 UTC. There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above. The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.


datascientist, Twitter, 2/6/2023 8:53:27 PM, 288744

#artificialintelligence

The graph represents a network of 1,514 Twitter users whose recent tweets contained "datascientist", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 20:48 UTC. The tweets in the network were tweeted over the 822-day, 16-hour, 33-minute period from Thursday, 05 November 2020 at 08:27 UTC to Monday, 06 February 2023 at 01:00 UTC. There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above. The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.


iiot bigdata, Twitter, 2/3/2023 12:09:04 PM, 288439

#artificialintelligence

The graph represents a network of 1,053 Twitter users whose recent tweets contained "iiot bigdata", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 12:04 UTC. The tweets in the network were tweeted over the 1763-day, 16-hour, 6-minute period from Friday, 06 April 2018 at 08:52 UTC to Friday, 03 February 2023 at 00:58 UTC. There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above. The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.