The graph represents a network of 532 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 500,000 tweets. The network was obtained from Twitter on Thursday, 11 August 2022 at 20:30 UTC.
The tweets in the network were tweeted over the 543-day, 19-hour, 39-minute period from Saturday, 13 February 2021 at 06:40 UTC to Thursday, 11 August 2022 at 02:20 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 : 532
Unique Edges : 902
Edges With Duplicates : 5465
Total Edges : 6367
Number of Edge Types : 8
Mentions : 1835
Retweet : 1311
MentionsInRetweet : 2514
MentionsInReplyTo : 544
MentionsInQuote : 66
Quote : 16
Tweet : 30
Replies to : 51
Self-Loops : 1071
Reciprocated Vertex Pair Ratio : 0.0511596180081855
Reciprocated Edge Ratio : 0.0973393900064893
Connected Components : 9
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 498
Maximum Edges in a Connected Component : 6318
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.738229
Graph Density : 0.00545502173512878
Modularity : 0.165063
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 532 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 500,000 tweets. The network was obtained from Twitter on Thursday, 11 August 2022 at 20:30 UTC.
The tweets in the network were tweeted over the 543-day, 19-hour, 39-minute period from Saturday, 13 February 2021 at 06:40 UTC to Thursday, 11 August 2022 at 02:20 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 : Betweenness Centrality
Vertex X : Column1
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1579] #healthtech,#datascientist [1576] #ehealth,#finserv [1557] #finserv,#cloud [1546] #cloud,#insurtech [1539] #datascientist,#csuite [1539] #csuite,#digitalhealth [1539] #digitalhealth,#web3 [1538] #web3,#cx [1538] #cx,#ehealth [1022] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[1577] #healthtech,#datascientist [1574] #ehealth,#finserv [1555] #finserv,#cloud [1544] #cloud,#insurtech [1537] #datascientist,#csuite [1537] #csuite,#digitalhealth [1537] #digitalhealth,#web3 [1536] #web3,#cx [1536] #cx,#ehealth [1020] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[31] top,hashtags [15] nodexl,aejmc [12] #writingcommunity,nodexl [12] nodexl,reveal_house [12] reveal_house,52wlbot [12] 52wlbot,rtartboost [12] rtartboost,matteristbooks [10] 2022,08 [10] this0499154500,#writingcommunity [10] aejmc,nodexl Top Word Pairs in Tweet in G3:
[26] unosmlre,aejmc [23] nodexl,unosmlre [22] aejmc_prd,aejmc_comsher [21] aejmc,willthewordguy [18] tweet,network [16] nodexl,aejmc [13] network,data [13] aejmc,nodexl [12] data,nodexl [12] aejmc_comsher,willthewordguy Top Word Pairs in Tweet in G4:
[17] kirkdborne,ricardo_ik_ahau [17] ricardo_ik_ahau,analytics_699 [10] globaliqx,#datamining [10] #datamining,leaders [10] leaders,nodexl [10] nodexl,honoured [10] honoured,included [10] included,kirkdborne [7] summer,school [7] data,journalism Top Word Pairs in Tweet in G5:
[3] top,hashtags [2] #nato,#otan Top Word Pairs in Tweet in G6:
[7] #aom22,#aom2022 [6] #aom2022,nodexl [5] nodexl,aomconnect [5] aomconnect,cms_aom [5] cms_aom,aom_str [5] aom_str,aom_omt [5] aom_omt,aom_orgnatenv [5] aom_orgnatenv,bogers [5] bogers,mggrim [3] top,hashtags Top Word Pairs in Tweet in G8:
[2] #deforestation,nodexl [2] nodexl,palmoildetect [2] palmoildetect,mikehudema [2] mikehudema,sadhgurujv [2] sadhgurujv,msesingapore [2] msesingapore,earth_buddy_ Top Word Pairs in Tweet in G9:
[11] #mediaresearchinstitute,#twitterresearchproject [8] allhoff_joachim,#mediaresearchinstitute [8] #twitterresearchproject,#socialnetworkanalysis [4] #socialnetworkanalysis,#wethepeoplestandwithtrump [4] #wethepeoplestandwithtrump,#qanon [4] #socialnetworkanalysis,#twitter [4] #twitter,api [4] api,#wombo [4] #wombo,#womboart [4] #womboart,#ai Top Word Pairs in Tweet in G10:
[2] gibba_landing,truthfinderexp [2] truthfinderexp,kyivindependent 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 G6:
Top Replied-To in G10:
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:
Top Mentioned in G9:
Top Mentioned in G10: