The graph represents a network of 3,512 Twitter users whose recent tweets contained "NodeXL", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 30,000 tweets, tweeted between 1/1/2020 12:00:00 AM and 3/1/2023 11:44:53 AM. The network was obtained from Twitter on Wednesday, 01 March 2023 at 20:10 UTC.
The tweets in the network were tweeted over the 2822-day, 2-hour, 28-minute period from Tuesday, 09 June 2015 at 17:13 UTC to Wednesday, 01 March 2023 at 19:41 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.
Author Description
Vertices : 3512
Unique Edges : 6765
Edges With Duplicates : 103374
Total Edges : 110139
Number of Edge Types : 9
Retweet : 18732
MentionsInRetweet : 41647
Mentions : 35682
MentionsInReplyTo : 9904
Tweet : 223
MentionsInQuote : 1418
MentionsInQuoteReply : 1636
Replies to : 713
Quote : 184
Self-Loops : 32288
Reciprocated Vertex Pair Ratio : 0.0689504117750131
Reciprocated Edge Ratio : 0.129005819195148
Connected Components : 49
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 3345
Maximum Edges in a Connected Component : 109814
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.225432
Graph Density : 0.000989486994664994
Modularity : 0.078502
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,512 Twitter users whose recent tweets contained "NodeXL", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 30,000 tweets, tweeted between 1/1/2020 12:00:00 AM and 3/1/2023 11:44:53 AM. The network was obtained from Twitter on Wednesday, 01 March 2023 at 20:10 UTC.
The tweets in the network were tweeted over the 2822-day, 2-hour, 28-minute period from Tuesday, 09 June 2015 at 17:13 UTC to Wednesday, 01 March 2023 at 19:41 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 : 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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[23983] #healthtech,#smartcity [23975] #datascientist,#csuite [23971] #csuite,#digitalhealth [23967] #digitalhealth,#web3 [23952] #web3,#cx [23909] #cx,#ehealth [20088] #ehealth,#finserv [15362] #smartcity,#datascientist [10419] chidambara09,#healthtech [10112] #insurtech,#nodexl Top Word Pairs in Tweet in G1:
[2939] #healthtech,#smartcity [2935] #datascientist,#csuite [2930] #csuite,#digitalhealth [2928] #digitalhealth,#web3 [2921] #web3,#cx [2909] #cx,#ehealth [1972] #ehealth,#finserv [1832] chidambara09,#healthtech [1629] #smartcity,#datascientist [1312] #smartcity,#5g Top Word Pairs in Tweet in G2:
[584] #tigraygenocide,#declaretigrayfamine [581] #declaretigrayfamine,#justice4tigray [393] eu_eeas,nodexl [369] #justice4tigray,#tigray [350] nodexl,#tigraygenocide [296] top,hashtags [231] hashtags,#tigraygenocide [229] ohhhh,top [229] dawitdigital,top [229] ranked,dawitdigital Top Word Pairs in Tweet in G3:
[21016] #healthtech,#smartcity [21014] #csuite,#digitalhealth [21014] #datascientist,#csuite [21010] #digitalhealth,#web3 [21004] #web3,#cx [20975] #cx,#ehealth [18098] #ehealth,#finserv [13716] #smartcity,#datascientist [9554] #insurtech,#nodexl [9534] betamoroney,enilev Top Word Pairs in Tweet in G4:
[184] nycmwbe,afrotech [175] startupweekend,nycmwbe [174] sabakarim,techstars [174] afrotech,ggvcapital [174] techstars,startupweekend [174] cordelrob,davidcohen [174] davidcohen,sabakarim [152] ggvcapital,jewelmelanie [146] motorious_moto,cordelrob [71] slackhq,slackapi Top Word Pairs in Tweet in G5:
[139] top,hashtags [81] nodexl,jeremyhl [53] ieeewie,ieeespectrum [53] ieeeorg,ieee_emcs [53] ieeespectrum,ieeeorg [36] theiet,ieeewie [36] ieeeiot,theiet [36] tweet,network [36] ieee_emcs,ietf [34] jeremyhl,michaelbathurst Top Word Pairs in Tweet in G6:
[38] top,hashtags [7] hashtags,#saamelaiskäräjälaki [6] #saamelaiskäräjälaki,#saamelaiset [5] nodexl,metsahallitus [5] fi,nodexl [4] lang,fi [4] metsahallitus,lifewithsommer [3] hashtags,#aalistunturi [3] metsaehallituksen,metsahallitus [3] inkamusta,biret Top Word Pairs in Tweet in G7:
[15] using,nodexl [10] hearing,scottturneruon [10] scottturneruon,oliviakellyou [10] interesting,hearing [10] really,interesting [10] nodexl,socioviz [10] analyse,twitter [10] data,using [10] oliviakellyou,analyse [10] twitter,data Top Word Pairs in Tweet in G8:
[9] nodexl,insights [6] twitter,nodexl [5] using,nodexl [5] insights,networks [4] nodexl,sna [4] social,media [4] media,networks [4] networks,nodexl [4] analyzing,social [4] connected,world Top Word Pairs in Tweet in G9:
[22] difference,between [22] live,under [22] bot,troll [22] under,bridges [22] trolls,live [22] bridges,bots [22] troll,nb [22] lawyer,difference [22] between,bot [22] bots,lawyer Top Word Pairs in Tweet in G10:
[18] #healthtech,#smartcity [18] #datascientist,#csuite [18] #web3,#cx [18] #digitalhealth,#web3 [18] #csuite,#digitalhealth [17] #cx,#ehealth [12] chidambara09,#healthtech [12] #ehealth,#finserv [11] innov_medicine,chabis_ch [9] #smartcity,#5g 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 G7:
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:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: