The graph represents a network of 41 Twitter users whose recent tweets contained "sqlhelp", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 500,000 tweets. The network was obtained from Twitter on Saturday, 24 September 2022 at 23:51 UTC.
The tweets in the network were tweeted over the 7-day, 17-hour, 13-minute period from Saturday, 17 September 2022 at 06:27 UTC to Saturday, 24 September 2022 at 23:40 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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.
Author Description
Vertices : 41
Unique Edges : 28
Edges With Duplicates : 91
Total Edges : 119
Number of Edge Types : 8
Replies to : 17
MentionsInReplyTo : 21
Mentions : 10
Retweet : 21
MentionsInRetweet : 34
Tweet : 13
MentionsInQuoteReply : 2
Quote : 1
Self-Loops : 14
Reciprocated Vertex Pair Ratio : 0.0666666666666667
Reciprocated Edge Ratio : 0.125
Connected Components : 13
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 12
Maximum Edges in a Connected Component : 54
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 1.745819
Graph Density : 0.0292682926829268
Modularity : 0.379987
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 41 Twitter users whose recent tweets contained "sqlhelp", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 500,000 tweets. The network was obtained from Twitter on Saturday, 24 September 2022 at 23:51 UTC.
The tweets in the network were tweeted over the 7-day, 17-hour, 13-minute period from Saturday, 17 September 2022 at 06:27 UTC to Saturday, 24 September 2022 at 23:40 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
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
Vertex X : Column1
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[19] #java,#javascript [19] #javascript,#html [19] #html,#php [19] #php,#python [19] #python,#sqlhelp [19] #sqlhelp,sseramemes [16] sseramemes,#bolhadev [16] #bolhadev,#kotlin [10] duvido,não [10] não,sentir Top Word Pairs in Tweet in G1:
[19] #java,#javascript [19] #javascript,#html [19] #html,#php [19] #php,#python [19] #python,#sqlhelp [19] #sqlhelp,sseramemes [16] sseramemes,#bolhadev [16] #bolhadev,#kotlin [10] duvido,não [10] não,sentir Top Word Pairs in Tweet in G2:
[2] jdanton,azuresupport [2] azure,sql [2] sql,community [2] azuresupport,azuresql [2] azuresupport,yes [2] yes,stop [2] stop,answering [2] answering,questions [2] questions,sqlhelp [2] sqlhelp,hashtag Top Word Pairs in Tweet in G3:
[2] managed,instance Top Word Pairs in Tweet in G5:
[3] hash,tag Top Word Pairs in Tweet in G7:
[2] clustered,index Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G9: