The graph represents a network of 106 Twitter users whose recent tweets contained "SQLHelp", 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 2022-11-10 09:18:26 and 2022-11-17 09:18:26. The network was obtained from Twitter on Thursday, 17 November 2022 at 17:19 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 36-minute period from Tuesday, 08 November 2022 at 16:04 UTC to Thursday, 17 November 2022 at 15:41 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 is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Vertices : 106
Unique Edges : 88
Edges With Duplicates : 322
Total Edges : 410
Number of Edge Types : 7
Retweet : 104
MentionsInRetweet : 104
Tweet : 56
Quote : 45
Mentions : 16
Replies to : 37
MentionsInReplyTo : 48
Self-Loops : 60
Reciprocated Vertex Pair Ratio : 0.0673076923076923
Reciprocated Edge Ratio : 0.126126126126126
Connected Components : 15
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 60
Maximum Edges in a Connected Component : 307
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.492669
Graph Density : 0.00997304582210243
Modularity : 0.274722
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 106 Twitter users whose recent tweets contained "SQLHelp", 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 2022-11-10 09:18:26 and 2022-11-17 09:18:26. The network was obtained from Twitter on Thursday, 17 November 2022 at 17:19 UTC.
The tweets in the network were tweeted over the 8-day, 23-hour, 36-minute period from Tuesday, 08 November 2022 at 16:04 UTC to Thursday, 17 November 2022 at 15:41 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.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : SQLHelp
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[139] repair,service [139] #sqlhelp,#cybersecurity [139] #bigdata,#analytics [139] computer,repair [139] #usa,#machinelearning [139] #cybersecurity,#bigdata [139] service,#usa [139] #machinelearning,#sqlhelp [96] onlineprousa,computer [44] #python,#rstats Top Word Pairs in Tweet in G1:
[96] #sqlhelp,#cybersecurity [96] #cybersecurity,#bigdata [96] #usa,#machinelearning [96] repair,service [96] service,#usa [96] #bigdata,#analytics [96] #machinelearning,#sqlhelp [96] computer,repair [53] onlineprousa,computer [44] #python,#rstats Top Word Pairs in Tweet in G2:
[2] view,couple [2] questions,columns [2] snowflake,query_history [2] couple,questions [2] anyone,familiar [2] familiar,snowflake [2] query_history,view Top Word Pairs in Tweet in G3:
[3] use,marketing [3] please,use [3] answering,questions [3] asking,answering [3] #sqlhelp,hashtag [3] questions,please [3] sql,server [3] hashtag,intended [3] intended,asking [3] marketing,promotion Top Word Pairs in Tweet in G4:
[43] #bigdata,#analytics [43] service,#usa [43] #usa,#machinelearning [43] onlineprousa,computer [43] repair,service [43] #cybersecurity,#bigdata [43] #machinelearning,#sqlhelp [43] #sqlhelp,#cybersecurity [43] computer,repair [2] #monitoring,tools Top Word Pairs in Tweet in G6:
[2] anyone,interested [2] #sqlserveropenings,#sqlhelp [2] #sqlserver,#sqldba [2] #hiring,know [2] #sqlserverjobs,#sqlserveropenings [2] interested,#sqlserverjobs [2] know,anyone [2] #sqlhelp,#sqlserver [2] #sqldba,#hiring Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: