The graph represents a network of 655 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 Wednesday, 29 June 2022 at 15:07 UTC.
The tweets in the network were tweeted over the 2576-day, 21-hour, 0-minute period from Tuesday, 09 June 2015 at 17:13 UTC to Wednesday, 29 June 2022 at 14:14 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 : 655
Unique Edges : 1501
Edges With Duplicates : 16219
Total Edges : 17720
Number of Edge Types : 8
MentionsInReplyTo : 3053
MentionsInQuote : 188
Mentions : 4186
Retweet : 2282
MentionsInRetweet : 7246
Quote : 83
Replies to : 411
Tweet : 271
Self-Loops : 1571
Reciprocated Vertex Pair Ratio : 0.19604717883328
Reciprocated Edge Ratio : 0.327825159914712
Connected Components : 24
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 619
Maximum Edges in a Connected Component : 17646
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.659201
Graph Density : 0.00875878329481523
Modularity : 0.109723
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 655 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 Wednesday, 29 June 2022 at 15:07 UTC.
The tweets in the network were tweeted over the 2576-day, 21-hour, 0-minute period from Tuesday, 09 June 2015 at 17:13 UTC to Wednesday, 29 June 2022 at 14:14 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:
[440] top,hashtags [372] #women,#ehealth [371] #cx,#women [365] #ehealth,#ces2023 [361] #digitalhealth,#datascientist [361] #ai,#healthtech [358] #datascientist,#mwc22 [358] #mwc22,#ai [266] nodexl,chidambara09 [261] chidambara09,#digitalhealth Top Word Pairs in Tweet in G1:
[157] top,hashtags [112] social,media [101] nodexl,gp_pulipaka [87] learn,analyse [85] academic,research [84] data,academic [82] media,research [81] analyse,unstructured [80] #selfdrivingcars,nodexl [78] machinelearning,nodexl Top Word Pairs in Tweet in G2:
[322] #cx,#women [319] #digitalhealth,#datascientist [319] #women,#ehealth [319] #ehealth,#ces2023 [317] #datascientist,#mwc22 [317] #mwc22,#ai [317] #ai,#healthtech [220] chidambara09,#digitalhealth [179] #healthtech,#ml [179] #ml,#iiot Top Word Pairs in Tweet in G3:
[189] top,hashtags [47] nodexl,this0499154500 [45] #women,#ehealth [42] #ai,#healthtech [40] #cx,#women [39] chidambara09,#digitalhealth [39] #digitalhealth,#datascientist [39] #datascientist,#mwc22 [39] #mwc22,#ai [39] #ehealth,#ces2023 Top Word Pairs in Tweet in G4:
[18] top,#influencers [16] congrats,top [16] #influencers,#marketingforucrania [16] #marketingforucrania,mktxucrania [15] albertoemachado,nodexl [13] digitaltransformation,nodexl [13] #digitaltransformation,#ai [13] #ai,#iot [13] #marketingforucrania,nodexl [13] nodexl,hashtagmarketi7 Top Word Pairs in Tweet in G5:
[61] fromalias,#museumweek [61] #museumweek,2022 [50] utenti,hashtags [50] hashtags,menzioni [50] menzioni,juventusfc [26] juventusfc,museoarcheoca [17] juventusfc,palazzorealenap [17] palazzorealenap,bcm_girolamini [11] 2022,13 [11] 13,giugno Top Word Pairs in Tweet in G6:
[13] using,nodexl [13] nodexl,insights [13] insights,networks [9] twitter,nodexl [9] nodexl,sna [9] sna,map [9] map,report [8] report,monday [5] june,2022 [4] 2022,05 Top Word Pairs in Tweet in G7:
[10] sars,cov [10] cov,nodexl [10] juancarlossaid,jlesgards [9] michaelbathurst,sars [8] nodexl,juancarlossaid [7] jikkyleaks,daoyu15 [6] jlesgards,michaelbathurst [6] michaelbathurst,jikkyleaks [6] daoyu15,aemangus [4] daoyu15,aemangus91 Top Word Pairs in Tweet in G8:
[5] smartkiwis,dataviz [5] dataviz,mfa_russia [5] mfa_russia,nodexl [5] nodexl,prominent [5] prominent,tweeters [5] tweeters,mfa_russia [5] mfa_russia,mfa_china [5] mfa_china,kremlinrussia_e [5] kremlinrussia_e,russianembassy [5] russianembassy,rusembusa Top Word Pairs in Tweet in G9:
[2] mihkal,#osint [2] #osint,ukraina [2] ukraina,ukraine [2] ukraine,ukraini [2] ukraini,nodexl [2] nodexl,covertshores [2] covertshores,kyivpost [2] kyivpost,osint88 [2] osint88,walter_report [2] walter_report,ukra Top Word Pairs in Tweet in G10:
[5] investigador,coordinador [5] coordinador,general [5] general,comcrisis_upf [5] comcrisis_upf,guillemsuau [5] guillemsuau,profesor [5] profesor,udl_info [5] udl_info,detalla [5] detalla,metodología [4] comcrisis_upf,investigador 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 G9:
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 G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10: