The graph represents a network of 19,014 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 17:29 UTC.
The tweets in the network were tweeted over the 12-minute period from Wednesday, 05 August 2020 at 16:50 UTC to Wednesday, 05 August 2020 at 17:02 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 : 19014
Unique Edges : 20973
Edges With Duplicates : 1510
Total Edges : 22483
Number of Edge Types : 5
Retweet : 16284
Tweet : 3726
MentionsInRetweet : 979
Mentions : 849
Replies to : 645
Self-Loops : 3765
Reciprocated Vertex Pair Ratio : 0.00158869288922976
Reciprocated Edge Ratio : 0.0031723458950938
Connected Components : 2722
Single-Vertex Connected Components : 921
Maximum Vertices in a Connected Component : 12468
Maximum Edges in a Connected Component : 15338
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.779588
Graph Density : 5.0573536209255E-05
Modularity : 0.838312
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 19,014 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 17:29 UTC.
The tweets in the network were tweeted over the 12-minute period from Wednesday, 05 August 2020 at 16:50 UTC to Wednesday, 05 August 2020 at 17:02 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:
[2381] people,lebanon [1843] deserves,better [1685] lebanon,thread [1385] beirut,lebanon [1255] lebanon,please [1068] red,cross [1067] explosion,lebanon [1030] help,lebanon [1018] #beirut,#lebanon [926] middle,east Top Word Pairs in Tweet in G1:
[82] #beirut,#lebanon [80] thoughts,prayers [74] brothers,sisters [73] lebanese,people [69] prayers,lebanese [69] lebanon,lebanese [68] trying,times [68] god,bless [68] bless,lebanon [67] during,trying Top Word Pairs in Tweet in G2:
[721] people,lebanon [718] praying,people [111] pray,lebanon [106] father,doing [106] doing,absolute [106] absolute,best [106] best,protect [106] protect,explosion [106] explosion,beirut [106] beirut,pray Top Word Pairs in Tweet in G3:
[812] amount,misinformation [812] misinformation,people [812] people,spreading [812] spreading,explosion [812] explosion,lebanon [812] lebanon,thread [812] thread,stuff [812] stuff,true [9] happening,lebanon [7] lebanon,please Top Word Pairs in Tweet in G4:
[253] lebanon,please [242] donation,links [236] middle,east [234] petitions,don [234] please,share [232] don,work [232] work,middle [232] east,instead [232] instead,thread [232] thread,donation Top Word Pairs in Tweet in G5:
[510] isn,11 [510] 11,lebanon [510] lebanon,2977 [510] 2977,deaths [510] deaths,12 [510] 12,buildings [510] buildings,lost [510] lost,11 [510] 11,today [510] today,lebanon Top Word Pairs in Tweet in G6:
[527] american,friends [527] friends,know [527] know,lebanon [527] lebanon,lebanon [527] lebanon,desert [527] desert,slum [527] slum,lebanon [527] lebanon,paris [527] paris,middle [527] middle,east Top Word Pairs in Tweet in G7:
[489] people,lebanon [482] lebanon,telling [482] telling,petitions [482] petitions,don [482] don,help [482] help,place [482] place,donate [482] donate,red [482] red,cross [482] cross,listen Top Word Pairs in Tweet in G8:
[434] happening,lebanon [422] lebanon,please [419] thread,explaining [419] explaining,happening [419] please,ignore [419] ignore,lot [419] lot,happening [419] happening,months [31] lebanon,thread [23] help,lebanon Top Word Pairs in Tweet in G9:
[334] lebanon,thread [325] donate,properly [325] properly,lebanon [52] happening,lebanon [49] please,donate [48] informative,thread [48] thread,happening [48] lebanon,#prayingforlebanon [48] #prayingforlebanon,#lebanon [33] red,cross Top Word Pairs in Tweet in G10:
[153] beirut,lebanon [110] august,2020 [72] rescue,team [71] french,rescue [71] team,departing [71] departing,paris [71] paris,orly [71] orly,airport [71] airport,beirut [71] lebanon,today 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 G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G7:
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: