The graph represents a network of 104 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 18,000 tweets. The network was obtained from Twitter on Wednesday, 29 July 2020 at 19:52 UTC.
The tweets in the network were tweeted over the 8-day, 22-hour, 13-minute period from Monday, 20 July 2020 at 21:34 UTC to Wednesday, 29 July 2020 at 19:48 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 : 104
Unique Edges : 113
Edges With Duplicates : 88
Total Edges : 201
Number of Edge Types : 5
Replies to : 99
Tweet : 49
Mentions : 36
Retweet : 16
MentionsInRetweet : 1
Self-Loops : 49
Reciprocated Vertex Pair Ratio : 0.0340909090909091
Reciprocated Edge Ratio : 0.0659340659340659
Connected Components : 34
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 49
Maximum Edges in a Connected Component : 149
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.602675
Graph Density : 0.00849514563106796
Modularity : 0.472971
NodeXL Version : 1.0.1.439
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=231361
Data Import : The graph represents a network of 104 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 18,000 tweets. The network was obtained from Twitter on Wednesday, 29 July 2020 at 19:52 UTC.
The tweets in the network were tweeted over the 8-day, 22-hour, 13-minute period from Monday, 20 July 2020 at 21:34 UTC to Wednesday, 29 July 2020 at 19:48 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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[28] nalgorithms,#sqlhelp [24] hash,tag [16] sql,server [9] azure,sql [7] remove,bookmark [7] bookmark,lookup [7] lookup,#sql [7] #sql,sixty [7] sixty,seconds [7] seconds,#089 Top Word Pairs in Tweet in G1:
[3] #sql,#sqlhelp [3] anyone,know [3] sql,server [2] schema,comparison [2] catch,block [2] #sqlhelp,anyone [2] dp,300 Top Word Pairs in Tweet in G2:
[3] low,use [2] cloud,witness [2] witness,#sqlhelp [2] happy,wrong [2] wrong,#sqlhelp [2] load,balancer [2] anyone,experience [2] experience,loss [2] loss,sql [2] sql,perf Top Word Pairs in Tweet in G3:
[28] nalgorithms,#sqlhelp [18] hash,tag [8] sql,server [5] sbsmool,#sqlhelp [4] server,community [4] many,thanks [4] re,going [4] pagerwho,sbsmool [3] #sqlhelp,hashtag [3] please,don Top Word Pairs in Tweet in G4:
[6] hash,tag [4] both,sides [4] target,audience [3] copyonly,backup [3] bytescout,please [2] reattach,#sqlhelp [2] user,databases [2] sides,#sqlhelp [2] sql,server [2] glennalanberry,bdill Top Word Pairs in Tweet in G5:
[7] remove,bookmark [7] bookmark,lookup [7] lookup,#sql [7] #sql,sixty [7] sixty,seconds [7] seconds,#089 [7] #089,#sqlserver [7] #sqlserver,pinal [7] pinal,dave [7] dave,#100daysofcode Top Word Pairs in Tweet in G6:
[9] azure,sql [6] sql,database [4] anyone,data [4] data,experience [4] experience,testing [4] testing,various [4] various,size [4] size,azure [4] database,restores [4] restores,specifically Top Word Pairs in Tweet in G8:
[2] hi,#sqlfamily [2] #sqlfamily,please [2] please,look [2] look,help [2] help,understanding [2] understanding,adding [2] adding,greater [2] greater,condition [2] condition,bring [2] bring,index Top Word Pairs in Tweet in G10:
[2] #sqlhelp,tag [2] potential,customers Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: