The graph represents a network of 1,262 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 18,000 tweets. The network was obtained from Twitter on Thursday, 12 May 2022 at 10:21 UTC.
The tweets in the network were tweeted over the 10-day, 20-hour, 20-minute period from Sunday, 01 May 2022 at 13:16 UTC to Thursday, 12 May 2022 at 09:36 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : 1262
Unique Edges : 2363
Edges With Duplicates : 4090
Total Edges : 6453
Number of Edge Types : 5
MentionsInRetweet : 2896
Mentions : 2802
Retweet : 593
Replies to : 99
Tweet : 63
Self-Loops : 218
Reciprocated Vertex Pair Ratio : 0.061807188444743
Reciprocated Edge Ratio : 0.116418854792787
Connected Components : 11
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 1251
Maximum Edges in a Connected Component : 6443
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.664802
Graph Density : 0.00198632383676578
Modularity : 0.330522
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,262 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 18,000 tweets. The network was obtained from Twitter on Thursday, 12 May 2022 at 10:21 UTC.
The tweets in the network were tweeted over the 10-day, 20-hour, 20-minute period from Sunday, 01 May 2022 at 13:16 UTC to Thursday, 12 May 2022 at 09:36 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[444] #women,#ehealth [436] #ehealth,#ces2023 [423] #cx,#women [423] #flutter,#linux [420] betamoroney,enilev [418] #healthtech,#datascientist [418] #ces2023,#finserv [418] #finserv,#bigdata [418] #bigdata,#insurtech [418] #insurtech,#100daysofcode Top Word Pairs in Tweet in G1:
[128] top,hashtags [29] nodexl,this0499154500 [11] #bigdata,#twitter [9] infoviz,infovis [9] infovis,nodexl [9] nodexl,infovis_ [9] hashtags,#dataviz [9] #dataviz,#infovis [8] nodexl,chidambara09 [8] michaelbathurst,this0499154500 Top Word Pairs in Tweet in G2:
[282] #women,#ehealth [279] #ehealth,#ces2023 [276] #flutter,#linux [273] #cx,#women [273] betamoroney,enilev [271] #healthtech,#datascientist [271] #ces2023,#finserv [271] #finserv,#bigdata [271] #bigdata,#insurtech [271] #insurtech,#100daysofcode Top Word Pairs in Tweet in G3:
[14] top,hashtags [4] #turpo,#nato [4] #nato,#ukraina [4] #nhlfi,#nbafi [4] #nbafi,#nflfi [3] hashtags,#turpo [2] #turpo,nodexl [2] nodexl,menqvist70 [2] menqvist70,marinsanna [2] marinsanna,eskelinen_antti Top Word Pairs in Tweet in G4:
[15] top,hashtags [14] hello,everyone [14] everyone,share [14] share,networks [14] networks,made [14] made,different [14] different,tools [14] tools,network [14] network,analysis [14] analysis,highly Top Word Pairs in Tweet in G5:
[134] #women,#ehealth [131] #ehealth,#ces2023 [124] #cx,#women [123] #healthtech,#datascientist [123] #ces2023,#finserv [123] #finserv,#bigdata [123] #bigdata,#insurtech [123] #insurtech,#100daysofcode [123] #100daysofcode,#javascript [123] #javascript,#flutter Top Word Pairs in Tweet in G6:
[15] chi,occupa [9] #nodexl,#wordle [8] aprile,2022 [7] #selenium,#nodexl [4] occupa,#spiagge [4] #spiagge,aprile [3] 2022,culturaidentita [3] culturaidentita,isolegrechecom [3] isolegrechecom,mediasettgcom24 [3] mediasettgcom24,turismoitalianw Top Word Pairs in Tweet in G7:
[23] #healthtech,#datascientist [23] #cx,#women [23] #women,#ehealth [23] #ehealth,#ces2023 [23] #ces2023,#finserv [23] #finserv,#bigdata [23] #bigdata,#insurtech [23] #insurtech,#100daysofcode [23] #100daysofcode,#javascript [23] #javascript,#flutter Top Word Pairs in Tweet in G8:
[3] dataviz,hashtags [3] top,hashtags Top Word Pairs in Tweet in G9:
[3] dctech,nodexl [3] nodexl,dctech_76 [3] dctech_76,polish_man23 [3] polish_man23,deanpelletier26 [3] deanpelletier26,apprenticestech [3] apprenticestech,thesiliconhill [3] thesiliconhill,rkwdc [3] rkwdc,theinfamousels [3] theinfamousels,revolverzanbolt [3] revolverzanbolt,dub_wizzer Top Word Pairs in Tweet in G10:
[4] canterburyccuni,nodexl [4] nodexl,canterburyccuni [4] canterburyccuni,sharifu80208081 [4] sharifu80208081,augustinepugin [4] augustinepugin,augustinecamino [4] augustinecamino,_fivetentwelve [4] _fivetentwelve,halpernfoundceo [4] halpernfoundceo,cindelsafrique [4] cindelsafrique,zealous_co [4] zealous_co,stevebackshall Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: