The graph represents a network of 521 Twitter users whose recent tweets contained "NodeXL", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 1,000 tweets. The network was obtained from Twitter on Thursday, 25 August 2022 at 16:12 UTC.
The tweets in the network were tweeted over the 54-day, 1-hour, 0-minute period from Saturday, 02 July 2022 at 14:40 UTC to Thursday, 25 August 2022 at 15:40 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 : 521
Unique Edges : 976
Edges With Duplicates : 3466
Total Edges : 4442
Number of Edge Types : 8
Mentions : 1155
MentionsInRetweet : 2060
Retweet : 658
Replies to : 44
MentionsInReplyTo : 470
MentionsInQuote : 25
Tweet : 16
Quote : 14
Self-Loops : 598
Reciprocated Vertex Pair Ratio : 0.0786186627479794
Reciprocated Edge Ratio : 0.145776566757493
Connected Components : 6
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 516
Maximum Edges in a Connected Component : 4437
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.686251
Graph Density : 0.00541857374870811
Modularity : 0.20661
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 521 Twitter users whose recent tweets contained "NodeXL", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 1,000 tweets. The network was obtained from Twitter on Thursday, 25 August 2022 at 16:12 UTC.
The tweets in the network were tweeted over the 54-day, 1-hour, 0-minute period from Saturday, 02 July 2022 at 14:40 UTC to Thursday, 25 August 2022 at 15:40 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 : NodeXL
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
Vertex X : Column1
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[597] #healthtech,#datascientist [590] #ehealth,#finserv [587] #finserv,#cloud [585] #cloud,#insurtech [583] #datascientist,#csuite [583] #csuite,#digitalhealth [578] #cx,#ehealth [574] #digitalhealth,#web3 [574] #web3,#cx [354] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[29] top,hashtags [16] nodexl,salhaj [16] shoutmgb,docassar [16] docassar,albertoemachado [15] salhaj,fmfrancoise [15] fmfrancoise,shoutmgb [11] michaelbathurst,nodexl [9] eli_krumova,chidambara09 [9] chidambara09,michaelbathurst [9] this0499154500,nodexl Top Word Pairs in Tweet in G2:
[536] #healthtech,#datascientist [531] #ehealth,#finserv [529] #finserv,#cloud [527] #cloud,#insurtech [523] #datascientist,#csuite [523] #csuite,#digitalhealth [519] #cx,#ehealth [515] #digitalhealth,#web3 [515] #web3,#cx [296] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[18] #healthtech,#datascientist [17] chidambara09,#healthtech [17] #datascientist,#csuite [17] #csuite,#digitalhealth [17] #digitalhealth,#web3 [17] #web3,#cx [17] #cx,#ehealth [17] #ehealth,#finserv [17] #finserv,#cloud [17] #cloud,#insurtech Top Word Pairs in Tweet in G4:
[43] #healthtech,#datascientist [43] #datascientist,#csuite [43] #csuite,#digitalhealth [42] #digitalhealth,#web3 [42] #web3,#cx [42] #cx,#ehealth [42] #ehealth,#finserv [41] chidambara09,#healthtech [41] #finserv,#cloud [41] #cloud,#insurtech Top Word Pairs in Tweet in G5:
[17] nodexl,salhaj [17] shoutmgb,docassar [17] docassar,albertoemachado [15] salhaj,fmfrancoise [15] fmfrancoise,shoutmgb [15] #smm,#smm2022 [15] michaelbathurst,this0499154500 [14] #datascibowl,#nodexl [14] chidambara09,michaelbathurst [13] #datascibowl,nodexl Top Word Pairs in Tweet in G6:
[3] #dataviz,mfa_russia [2] mfa_russia,nodexl [2] nodexl,8k [2] 8k,tweeters [2] tweeters,2k [2] 2k,recipients [2] recipients,17 [2] 17,3k [2] 3k,tweets [2] tweets,comprising Top Word Pairs in Tweet in G7:
[3] this0499154500,geospatial [3] geospatial,nodexl [3] nodexl,gischatbot [3] gischatbot,geospatial_py [3] geospatial_py,itswahome [3] itswahome,griddbcommunity [3] griddbcommunity,agspatial [3] agspatial,esri Top Word Pairs in Tweet in G8:
[2] metroplanners,chitrust Top Word Pairs in Tweet in G9:
[2] power,bi Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8: