The graph represents a network of 4,592 Twitter users whose tweets in the requested range contained "AlJazeera", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 05 September 2021 at 11:44 UTC.
The requested start date was Sunday, 05 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 7-hour, 27-minute period from Friday, 03 September 2021 at 16:33 UTC to Sunday, 05 September 2021 at 00:00 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 : 4592
Unique Edges : 5004
Edges With Duplicates : 9091
Total Edges : 14095
Number of Edge Types : 5
Retweet : 3513
MentionsInRetweet : 4816
Mentions : 4660
Tweet : 860
Replies to : 246
Self-Loops : 879
Reciprocated Vertex Pair Ratio : 0.00195098158761127
Reciprocated Edge Ratio : 0.00389436534014847
Connected Components : 491
Single-Vertex Connected Components : 241
Maximum Vertices in a Connected Component : 3104
Maximum Edges in a Connected Component : 11511
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.930086
Graph Density : 0.000389766146004491
Modularity : 0.482314
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 4,592 Twitter users whose tweets in the requested range contained "AlJazeera", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 05 September 2021 at 11:44 UTC.
The requested start date was Sunday, 05 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 7-hour, 27-minute period from Friday, 03 September 2021 at 16:33 UTC to Sunday, 05 September 2021 at 00:00 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 : GraphServerTwitterSearch
Graph Term : AlJazeera
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:
[361] worsen,dramatically [354] food,stocks [354] stocks,already [354] already,ran [354] ran,20 [344] world,leaders [344] 20,august [342] august,world [342] leaders,idly [342] idly,watching Top Word Pairs in Tweet in G1:
[170] several,members [170] main,opposition [122] tanzanian,police [122] police,arrested [122] arrested,several [122] members,country [122] country,main [122] opposition,chadema [122] chadema,party [122] party,latest Top Word Pairs in Tweet in G2:
[44] worsen,dramatically [43] nytimes,washingtonpost [42] set,worsen [37] crisis,set [37] trtworld,aljazeera [36] tigray,crisis [36] cnn,bbcworld [36] bbcworld,reuters [36] reuters,bopinion [36] bopinion,nytimes Top Word Pairs in Tweet in G3:
[257] food,stocks [257] stocks,already [257] already,ran [257] ran,20 [254] 20,august [254] august,world [254] world,leaders [254] leaders,idly [254] idly,watching [254] watching,millions Top Word Pairs in Tweet in G4:
[25] news,jazeera [9] mistakenly,labels [9] labels,black [9] black,men [9] men,primates [7] 100,ancient [7] ancient,mesopotamian [7] facebook,mistakenly [6] mesopotamian,artefacts [6] artefacts,seized Top Word Pairs in Tweet in G5:
[92] seifgebre,#tigray [72] food,stocks [72] stocks,already [72] already,ran [72] ran,20 [65] 20,august [64] august,world [64] world,leaders [64] leaders,idly [64] idly,watching Top Word Pairs in Tweet in G6:
[126] aljazeera,tplf [126] tplf,amhara [126] amhara,region [126] region,meaza [126] meaza,tplf [126] tplf,tdf [126] tdf,aj [126] aj,abiy [126] abiy,ahmed [126] ahmed,make Top Word Pairs in Tweet in G7:
[77] time,people [77] people,call [77] call,themselves [77] themselves,progressive [77] progressive,those [77] those,power [77] power,positions [77] positions,influence [77] influence,speak [76] bdsmovement,time Top Word Pairs in Tweet in G8:
[111] لتخطي,الحجب [67] فيديو,لتخطي [15] مصر,فيديو [12] الجزيرة,مباشر [11] حكمتيار,لـ [11] لـ,الجزيرة [10] لإشادته,بحركة [10] بحركة,طالبان [10] لاستفزاز,المسلمين [10] المسلمين,سياسي Top Word Pairs in Tweet in G9:
[29] china,important [29] important,partner [29] partner,represents [29] represents,fundamental [29] fundamental,extraordinary [29] extraordinary,opportunity [29] opportunity,taliban [28] joshrogin,china [28] taliban,spokesp [21] taliban,spokesman Top Word Pairs in Tweet in G10:
[54] qanon,shaman [54] shaman,jacob [54] jacob,chansley [54] chansley,going [54] going,prison [54] prison,between [54] between,41 [54] 41,51 [54] 51,months [54] months,enough 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 G5:
Top Replied-To in G7:
Top Replied-To in G8:
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 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: