The graph represents a network of 944 Twitter users whose recent tweets contained "#AEC", 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, 14 July 2021 at 09:33 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 32-minute period from Tuesday, 06 July 2021 at 04:28 UTC to Wednesday, 14 July 2021 at 09:01 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 : 944
Unique Edges : 1410
Edges With Duplicates : 665
Total Edges : 2075
Number of Edge Types : 5
Tweet : 351
Mentions : 327
Retweet : 743
Replies to : 113
MentionsInRetweet : 541
Self-Loops : 365
Reciprocated Vertex Pair Ratio : 0.0204802259887006
Reciprocated Edge Ratio : 0.0401384083044983
Connected Components : 162
Single-Vertex Connected Components : 100
Maximum Vertices in a Connected Component : 454
Maximum Edges in a Connected Component : 1130
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.10565
Graph Density : 0.00162324532235742
Modularity : 0.609661
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 944 Twitter users whose recent tweets contained "#AEC", 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, 14 July 2021 at 09:33 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 32-minute period from Tuesday, 06 July 2021 at 04:28 UTC to Wednesday, 14 July 2021 at 09:01 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 : #AEC
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:
[156] #aec,#jlm2022 [109] #laec,#aec [104] #lfi,#laec [91] #jlm2022,#aec [89] services,publics [87] quand,j'ai [87] j'ai,lu [87] lu,l'#aec [87] l'#aec,j'y [87] j'y,ai Top Word Pairs in Tweet in G1:
[7] #aec,#construction [5] #construction,#aec [5] #bim,#aec [5] learn,more [5] webinar,july [5] register,today [4] #aec,#bim [4] #mining,#1897 [4] #1897,#aec [4] #aec,#bitcoinmining Top Word Pairs in Tweet in G2:
[29] soir,lors [29] lors,#macron20h [29] #macron20h,ai [29] ai,enfin [29] enfin,vu [29] vu,ce [29] ce,qu [29] qu,était [29] était,#ennemidelarepublique [29] #ennemidelarepublique,continuez Top Word Pairs in Tweet in G3:
[61] écologique,sociale [58] programme,écologique [52] 2022,vote [52] vote,#jlm2022 [52] #jlm2022,#aec [52] #aec,#unionpopulaire [52] franceinsoumise,programme [47] #unionpopulaire,#noussommespour [46] #aec,#jlm2022 [46] #noussommespour,franceinsoumise Top Word Pairs in Tweet in G4:
[93] #aec,#jlm2022 [92] #laec,#aec [87] #lfi,#laec [71] #insoumis,#lfi [36] #changementclimatique,#insoumis [22] catimini,gouvernement [22] gouvernement,facilite [22] facilite,abattage [22] abattage,arbres [22] arbres,alignement Top Word Pairs in Tweet in G5:
[66] quand,j'ai [66] j'ai,lu [66] lu,l'#aec [66] l'#aec,j'y [66] j'y,ai [66] ai,trouvé [66] trouvé,justice [66] justice,sociale [66] sociale,partage [66] partage,écologie Top Word Pairs in Tweet in G6:
[58] #bim,#aec [25] #aec,#revit [16] free,#autodesk [16] #autodesk,#revit [16] #diroots,#bim [13] learn,more [13] #revit,add [12] #aec,industry [11] #aec,#bim [11] use,#paramanager Top Word Pairs in Tweet in G7:
[36] arcgis,geobim [27] #aec,projects [27] coming,soon [26] soon,arcgis [26] geobim,links [26] links,#aec [26] projects,workflows [26] workflows,connecting [26] connecting,arcgis [26] arcgis,adsk_construct Top Word Pairs in Tweet in G8:
[42] #design,#aec [33] usgbc,wnc [33] wnc,lunch [33] lunch,learn [33] learn,usgbc [33] usgbc,better [33] platform,ecomedes [33] ecomedes,july [33] july,13 [33] 13,10am Top Word Pairs in Tweet in G9:
[36] fi,votera [24] votera,jamais [12] l'attention,#fakejournaleux [12] #fakejournaleux,#mediacrates [12] #mediacrates,fi [12] jamais,rn [12] rn,fi [12] votera,plus [12] plus,jamais [12] jamais,ps Top Word Pairs in Tweet in G10:
[5] l',#aec [4] programme,#aec [2] noussommespour,#unionpopulaire [2] cette,mascarade [2] #aec,#jlm2022 [2] shootertrip,taigalune [2] taigalune,ceux [2] ceux,présentent [2] présentent,portent [2] portent,peu Top Replied-To in Entire Graph:
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 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:
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: