The graph represents a network of 3,250 Twitter users whose tweets in the requested range contained "AlArabiya", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 October 2021 at 12:26 UTC.
The requested start date was Sunday, 10 October 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, 2-hour, 41-minute period from Friday, 08 October 2021 at 09:21 UTC to Saturday, 09 October 2021 at 12:02 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 : 3250
Unique Edges : 2116
Edges With Duplicates : 7911
Total Edges : 10027
Number of Edge Types : 5
Retweet : 2510
MentionsInRetweet : 3142
Tweet : 814
Replies to : 1932
Mentions : 1629
Self-Loops : 835
Reciprocated Vertex Pair Ratio : 0.0139744197063003
Reciprocated Edge Ratio : 0.0275636533520206
Connected Components : 162
Single-Vertex Connected Components : 96
Maximum Vertices in a Connected Component : 2886
Maximum Edges in a Connected Component : 9147
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.511245
Graph Density : 0.000405426521770012
Modularity : 0.360434
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,250 Twitter users whose tweets in the requested range contained "AlArabiya", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 October 2021 at 12:26 UTC.
The requested start date was Sunday, 10 October 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, 2-hour, 41-minute period from Friday, 08 October 2021 at 09:21 UTC to Saturday, 09 October 2021 at 12:02 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 : GraphServerTwitterSearch
Graph Term : AlArabiya
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:
[198] #العربية,في [179] الملك,عبدالله [171] حزب,الليكود [170] صوتوا,ضد [170] ضد,تعليم [170] تعليم,اللغة [170] في,المدارس [170] نائب,عن [170] عن,حزب [170] الليكود,يهاجم Top Word Pairs in Tweet in G1:
[173] #العربية,في [149] حزب,الليكود [149] في,الكنيست [148] صوتوا,ضد [148] ضد,تعليم [148] تعليم,اللغة [148] اللغة,#العربية [148] في,المدارس [148] المدارس,نائب [148] نائب,عن Top Word Pairs in Tweet in G2:
[108] alarabiya_brk,التحالف [89] الملك,عبدالله [74] alarabiya_brk,المرصد [61] عبدالله,بجازان [57] مطار,الملك [54] بجازان,#العربية_عاجل [52] على,مطار [49] استهداف,المدنيين [45] جازان,#العربية_عاجل [40] alarabiya_brk,معقب Top Word Pairs in Tweet in G3:
[118] المباشر,وغير [118] وغير,المباشر [117] رئيس,الهيئة [117] الهيئة,العامة [117] العامة,للترفيه [117] للترفيه,في [117] في,#السعودية [117] #السعودية,تركي [117] تركي,آل [117] آل,الشيخ Top Word Pairs in Tweet in G4:
[23] nattyfeatures,alarabiya_eng [11] #imf,executive [11] executive,board [11] board,due [11] due,debate [11] debate,kristalina [11] kristalina,georgieva [11] georgieva,future [11] future,head [11] head,institution Top Word Pairs in Tweet in G5:
[107] alarabiya,nadinekh [107] nadinekh,مبدعه [107] مبدعه,دائما [107] دائما,ومتألقه [106] ehsaaascom,alarabiya Top Word Pairs in Tweet in G6:
[18] human,rights [15] 120,000 [15] 000,executions [15] executions,still [15] still,continues [15] continues,united [15] united,urge [15] urge,world [15] world,government [15] government,stand Top Word Pairs in Tweet in G7:
[4] icj_org,icj_asia [4] icj_asia,cij_icj [4] cij_icj,unocha [4] unocha,unosapg [4] unosapg,amnesty [4] amnesty,oic_oci [4] oic_oci,oicatun [4] oicatun,un_hrc [4] un_hrc,hrcsaudi [4] hrcsaudi,potus Top Word Pairs in Tweet in G8:
[7] وللتفاصيل,#الج [7] #الج,مان [4] alarabiya,المحلل [4] المحلل,السياسي [3] ضريبة,القيمة [3] القيمة,المضافة [3] بلاغات,عن [3] عن,أعطال [3] أعطال,في [3] في,موقع Top Word Pairs in Tweet in G9:
[27] mtaibq,kbsalsaud [27] alarabiya,alekhbariyatv [27] binmubarakahmed,asma_rageh [20] usabilaraby,salansar1 [18] kbsalsaud,alarabiya [18] alekhbariyatv,binmubarakahmed [18] asma_rageh,usabilaraby [17] sham00500500,mtaibq [12] salansar1,gccsg [9] kbsalsaud,mohdsalj Top Word Pairs in Tweet in G10:
[13] اطول,ضبط [13] ضبط,نفس [13] نفس,في [13] في,تاريخ [13] تاريخ,البشرية [13] البشرية,٧ [13] ٧,سنوات [13] سنوات,وهم [13] وهم,يضبطون [13] يضبطون,النفس Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
Top Mentioned in G6:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: