The graph represents a network of 758 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 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/29/2022 6:22:06 AM. The network was obtained from Twitter on Thursday, 29 December 2022 at 14:30 UTC.
The tweets in the network were tweeted over the 2759-day, 21-hour, 4-minute period from Tuesday, 09 June 2015 at 17:13 UTC to Thursday, 29 December 2022 at 14:17 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 : 758
Unique Edges : 1188
Edges With Duplicates : 14986
Total Edges : 16174
Number of Edge Types : 9
Retweet : 2901
MentionsInRetweet : 4515
Mentions : 7422
MentionsInReplyTo : 973
MentionsInQuoteReply : 10
MentionsInQuote : 246
Replies to : 57
Quote : 16
Tweet : 34
Self-Loops : 5969
Reciprocated Vertex Pair Ratio : 0.0787809085681426
Reciprocated Edge Ratio : 0.146055437100213
Connected Components : 8
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 746
Maximum Edges in a Connected Component : 16160
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.043594
Graph Density : 0.00326939767098985
Modularity : 0.07578
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 758 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 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/29/2022 6:22:06 AM. The network was obtained from Twitter on Thursday, 29 December 2022 at 14:30 UTC.
The tweets in the network were tweeted over the 2759-day, 21-hour, 4-minute period from Tuesday, 09 June 2015 at 17:13 UTC to Thursday, 29 December 2022 at 14:17 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:
[4689] #smartcity,#datascientist [4688] #healthtech,#smartcity [4686] #web3,#cx [4686] #datascientist,#csuite [4685] #csuite,#digitalhealth [4681] #digitalhealth,#web3 [4678] #cx,#ehealth [4677] #ehealth,#finserv [3028] #finserv,#cloud [2726] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[13] nycmwbe,afrotech [9] startupweekend,nycmwbe [9] cordelrob,davidcohen [9] sabakarim,techstars [9] ggvcapital,jewelmelanie [9] afrotech,ggvcapital [9] techstars,startupweekend [9] davidcohen,sabakarim [8] motorious_moto,cordelrob [6] blackbirds,precursorvc Top Word Pairs in Tweet in G2:
[4287] #healthtech,#smartcity [4286] #digitalhealth,#web3 [4286] #csuite,#digitalhealth [4286] #datascientist,#csuite [4286] #web3,#cx [4286] #smartcity,#datascientist [4285] #cx,#ehealth [4284] #ehealth,#finserv [2764] #finserv,#cloud [2331] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[52] #web3,#cx [51] #csuite,#digitalhealth [50] #datascientist,#csuite [50] #smartcity,#datascientist [50] #healthtech,#smartcity [49] #ehealth,#finserv [49] chidambara09,#healthtech [49] #digitalhealth,#web3 [49] #cx,#ehealth [39] winter,school Top Word Pairs in Tweet in G4:
[35] ieeewie,ieeespectrum [35] ieeespectrum,ieeeorg [35] ieeeorg,ieee_emcs [27] nodexl,eli_krumova [25] please,see [23] nodexl,chidambara09 [22] ieee_emcs,ietf [20] huaweiusa,womenwhocode [20] nodexl,nokia [20] technative,nodexl Top Word Pairs in Tweet in G5:
[336] #smartcity,#datascientist [333] #datascientist,#csuite [333] #healthtech,#smartcity [332] chidambara09,#healthtech [332] #digitalhealth,#web3 [331] #web3,#cx [331] #csuite,#digitalhealth [330] #ehealth,#finserv [330] #cx,#ehealth [238] #finserv,#cloud Top Word Pairs in Tweet in G6:
[14] top,hashtags [3] #healthtech,#smartcity [3] nancylevine,tesla [3] nodexl,nancylevine [3] tesla,excellencia_ltd [3] stratolaunch,nodexl [3] stratolaunch,executivegov [3] corpgov,nodexl [3] flyinadambadger,wired_jp [3] nodexl,stratolaunch Top Word Pairs in Tweet in G7:
[12] #eval,nodexl [6] eval_forward,coop_evaluacion [6] nodexl,eval_forward [5] hashtags,#eval [5] top,hashtags [5] #eval,#evaluation [4] unfpa_eval,alnap [4] nodexl,this0499154500 [4] this0499154500,evaluland [4] alnap,evalacademy Top Word Pairs in Tweet in G8:
[2] #nodexl,#prodomosua [2] #prodomosua,#sna [2] #cinghiali,dicembre [2] l'hashtag,#cuperlo [2] #hashtag,collegati [2] dicembre,#hashtag [2] collegati,781 [2] #cuperlo,dicembre [2] #sna,#segreteriapd 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 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 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: