The graph represents a network of 3,318 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, 04 December 2022 at 13:25 UTC.
The requested start date was Sunday, 04 December 2022 at 01:01 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, 10-hour, 40-minute period from Friday, 02 December 2022 at 14:20 UTC to Sunday, 04 December 2022 at 01:00 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 : 3318
Unique Edges : 2682
Edges With Duplicates : 9227
Total Edges : 11909
Number of Edge Types : 5
Retweet : 2684
MentionsInRetweet : 3568
Mentions : 3047
Replies to : 1356
Tweet : 1254
Self-Loops : 1279
Reciprocated Vertex Pair Ratio : 0.0062537825297559
Reciprocated Edge Ratio : 0.01242983159583
Connected Components : 222
Single-Vertex Connected Components : 145
Maximum Vertices in a Connected Component : 2819
Maximum Edges in a Connected Component : 10982
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.227458
Graph Density : 0.000453215330163007
Modularity : 0.382555
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,318 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, 04 December 2022 at 13:25 UTC.
The requested start date was Sunday, 04 December 2022 at 01:01 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, 10-hour, 40-minute period from Friday, 02 December 2022 at 14:20 UTC to Sunday, 04 December 2022 at 01:00 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 : 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:
[186] درود,بر [145] نشرة,سرية [136] کانونهای,شورشی [134] في,#إيران [133] alarabiya_fa,درود [126] #الساعة_60,#العربية [123] إيلون,ماسك [121] كأس,العالم [120] نجل,#بايدن [119] #العربية_رياضة,#المونديال_مع_العربية Top Word Pairs in Tweet in G1:
[98] alarabiya,جديد [98] الزوجية,وبكافة [98] وبكافة,الأنواع [98] اقوى,وافضل [98] للعلاقة,الزوجية [94] نجل,#بايدن [89] #الساعة_60,#العربية [69] #تويتر,في [67] ساعات,#العربية [67] خلال,ساعات Top Word Pairs in Tweet in G2:
[40] cnnbrk,bbcworld [40] euronews,alarabiya [38] france24_en,euronews [32] theeconomist,ajenews [32] abcnews,france24_en [31] bbcbreaking,nytimes [29] bbcnews,abcnews [28] nytimes,washingtonpost [28] ajenews,bbcnews [28] washingtonpost,alarabiya_eng Top Word Pairs in Tweet in G3:
[68] كأس,العالم [45] alarabiya_brk,كأس [42] النفط,الروسي [35] سقف,لسعر [35] لسعر,النفط [35] alarabiya_brk,ماسك [26] نجل,بايدن [26] أوكرانيا,#العربية_عاجل [25] الاتحاد,الأوروبي [25] في,أوكرانيا Top Word Pairs in Tweet in G4:
[99] نشرة,سرية [98] في,#إيران [94] إيلون,ماسك [94] لقائد,#الحرس_الثوري_الإرهابي [94] لسان,آية [94] الاحتجاجات,لن [94] عن,لسان [94] #الحرس_الثوري_الإرهابي,في [94] سرية,لقائد [94] مأخوذة,عن Top Word Pairs in Tweet in G5:
[186] درود,بر [136] کانونهای,شورشی [133] alarabiya_fa,درود [97] مردم,ایران [79] بر,کانونهای [77] را,به [56] peymaneh123,alarabiya_fa [49] بر,#کانونهای_شورشی [47] مبارزه,را [40] کانون,های Top Word Pairs in Tweet in G6:
[21] alarabiya_ksa,maloshawyi [19] maloshawyi,nancyajram [12] alarabiya_ksa,djkhaled [10] الشؤون,الإسلامية [10] يحذر,من [10] جلدهم,وزير [10] يتلونون,ويغيرون [10] عبدالعزيز,آل [10] الإسلامية,الدكتور [10] عبداللطيف,بن Top Word Pairs in Tweet in G7:
[25] sanctions,against [22] 94,billion [22] november,25 [22] 25,under [22] under,sanctions [22] financial,assets [22] against,russians [22] billion,november [22] frozen,financial [22] assets,worth Top Word Pairs in Tweet in G8:
[9] saudi,arabia [8] arabiya,english [7] اللاعبين,مسؤولية [7] زوجات,اللاعبين [7] فضيحة,المونديال [7] مسؤولية,فضيحة [7] يحملون,زوجات [7] الألمان,يحملون [5] بمستشفى,مصري [5] على,ممرضات Top Word Pairs in Tweet in G9:
[6] mtaibq,kbsalsaud [6] alarabiya,alekhbariyatv [5] usabilaraby,salansar1 [5] gccsg,arableague_gs [5] kbsalsaud,alarabiya [4] euinarabic,ksamofa [4] alekhbariyatv,asma_rageh [4] asma_rageh,usabilaraby [4] salansar1,gccsg [3] arabparlment,adelaljubeir Top Word Pairs in Tweet in G10:
[118] #العربية_رياضة,#المونديال_مع_العربية [55] #المونديال_مع_العربية,#العربية_رياضة [33] كأس,العالم [25] #كأس_العالم_2022,#المونديال_مع_العربية [24] #العربية_رياضة,#fifaworldcup [18] لـ,#الكأس_على_العربية [18] #قطر,#مونديال_قطر [18] #المونديال_مع_العربية,#قطر [18] #مونديال_قطر,#fifaworldcup [17] كوريا,الجنوبية 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 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:
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: