The graph represents a network of 17,223 Twitter users whose recent tweets contained "Lebanon", 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, 05 August 2020 at 03:33 UTC.
The tweets in the network were tweeted over the 5-minute period from Wednesday, 05 August 2020 at 03:09 UTC to Wednesday, 05 August 2020 at 03:14 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 : 17223
Unique Edges : 20078
Edges With Duplicates : 1241
Total Edges : 21319
Number of Edge Types : 5
Retweet : 16777
MentionsInRetweet : 582
Mentions : 339
Tweet : 3323
Replies to : 298
Self-Loops : 3343
Reciprocated Vertex Pair Ratio : 0.000226590381238316
Reciprocated Edge Ratio : 0.000453078099337373
Connected Components : 2193
Single-Vertex Connected Components : 816
Maximum Vertices in a Connected Component : 12221
Maximum Edges in a Connected Component : 15943
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.940336
Graph Density : 5.9528443966257E-05
Modularity : 0.831007
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 17,223 Twitter users whose recent tweets contained "Lebanon", 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, 05 August 2020 at 03:33 UTC.
The tweets in the network were tweeted over the 5-minute period from Wednesday, 05 August 2020 at 03:09 UTC to Wednesday, 05 August 2020 at 03:14 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 : Lebanon
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:
[2569] #beirut,#lebanon [2255] beirut,lebanon [1599] people,lebanon [1409] help,lebanon [1128] donation,links [926] lebanon,thread [906] #lebanon,#beirut [885] pray,lebanon [885] explosion,beirut [865] massive,explosion Top Word Pairs in Tweet in G1:
[399] sending,prayers [387] people,lebanon [379] brothers,sisters [319] deepest,condolences [251] beirut,lebanon [192] sisters,lebanon [189] lebanon,needs [185] prayers,love [185] love,healing [184] people,affected Top Word Pairs in Tweet in G2:
[863] #beirut,#lebanon [421] #lebanon,#prayforlebanon [365] ยช,ว [339] #beirut,#prayforlebanon [332] #lebanon,#beirut [227] เส,ยช [216] ระเบ,ดท [206] คล,ปน [205] ปลอดภ,ย [199] #prayforlebanon,#prayforbeirut Top Word Pairs in Tweet in G3:
[99] pray,lebanon [74] beirut,lebanon [61] thoughts,prayers [55] brothers,sisters [47] lebanese,brothers [47] lebanese,people [46] prayers,lebanese [46] god,bless [45] people,lebanon [45] bless,lebanon Top Word Pairs in Tweet in G4:
[406] ยช,ว [401] เส,ยช [380] งเบร,ต [376] ผ,เส [375] ต,#beirut [375] ต,น [371] ต,นเหต [371] 750,ต [371] ปลอดภ,ย [369] ร,ฐบาลเลบานอน Top Word Pairs in Tweet in G5:
[231] beirut,lebanon [182] إ,ن [182] ن,ا [182] saudara,saudara [179] saudara,kami [162] saudara,kita [161] #prayforbeirut,#prayforlebanon [159] kita,lebanon [154] kita,respect [154] atas,kejadian Top Word Pairs in Tweet in G6:
[312] help,lebanon [190] lebanon,thread [157] donation,links [154] ways,help [152] thread,donation [143] links,help [68] pray,lebanon [67] please,spare [67] spare,moment [67] moment,pray Top Word Pairs in Tweet in G7:
[458] help,lebanon [245] lebanon,thread [221] share,donate [216] ways,help [210] lebanon,pls [210] pls,help [210] help,share [24] donation,links [17] thread,donation [16] lebanon,please Top Word Pairs in Tweet in G8:
[331] donation,links [304] people,lebanon [150] help,people [146] go,towards [145] ive,seen [145] seen,tweets [145] tweets,going [145] going,around [145] around,abt [145] abt,donation Top Word Pairs in Tweet in G9:
[205] beirut,lebanon [189] massive,explosion [156] brothers,sisters [143] please,take [143] take,minute [143] minute,two [143] two,pray [143] pray,brothers [143] sisters,beirut [143] lebanon,massive Top Word Pairs in Tweet in G10:
[129] death,toll [105] #beirut,explosion [91] people,injured [87] health,ministry [87] ammonium,nitrate [85] lebanon,health [85] ministry,death [85] toll,#beirut [85] tons,ammonium [85] blast,site Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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 G7:
Top Mentioned in G8:
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: