The graph represents a network of 761 Twitter users whose recent tweets contained "#سمر_الواطية", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2019 12:00:00 AM and 2/15/2023 8:24:29 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 06:44 UTC.
The tweets in the network were tweeted over the 1092-day, 1-hour, 2-minute period from Friday, 25 October 2019 at 17:52 UTC to Friday, 21 October 2022 at 18:55 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 761
Unique Edges : 539
Edges With Duplicates : 1812
Total Edges : 2351
Number of Edge Types : 8
Tweet : 621
Retweet : 400
Replies to : 334
MentionsInReplyTo : 440
MentionsInRetweet : 397
Quote : 73
Mentions : 83
MentionsInQuote : 3
Self-Loops : 672
Reciprocated Vertex Pair Ratio : 0.0205949656750572
Reciprocated Edge Ratio : 0.0403587443946188
Connected Components : 215
Single-Vertex Connected Components : 195
Maximum Vertices in a Connected Component : 514
Maximum Edges in a Connected Component : 1942
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.214277
Graph Density : 0.00154229199806349
Modularity : 0.339771
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 761 Twitter users whose recent tweets contained "#سمر_الواطية", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2019 12:00:00 AM and 2/15/2023 8:24:29 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 06:44 UTC.
The tweets in the network were tweeted over the 1092-day, 1-hour, 2-minute period from Friday, 25 October 2019 at 17:52 UTC to Friday, 21 October 2022 at 18:55 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : #سمر_الواطية
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:
[182] #سمر_الواطية,#سمر_الواطية [86] ابو,خليل [84] سمر,ابو [62] و,لا [46] samarabukhalil,#سمر_الواطية [42] اوطى,من [34] هاشتاغ,#سمر_الواطية [32] النظام,السوري [31] ما,شفت [28] سنين,بالسياسة Top Word Pairs in Tweet in G1:
[10] ابو,خليل [9] #اشياء_تحسن_المزاج,#صباح_الخير [9] #سمر_الواطية,#شيكابالا [9] #الدمام,#بس_حبيت_اقول [9] سمر,ابو [9] #كلنا_امن_الدمام,#سمر_الواطية [9] #البرازيل_الارجنتين,#اشياء_تحسن_المزاج [9] #صباح_الخير,#الدمام [8] اوطى,من [8] #النصر_الفيصلي,#أنا_مواطن Top Word Pairs in Tweet in G2:
[105] #سمر_الواطية,#سمر_الواطية [24] ابو,خليل [24] samarabukhalil,#سمر_الواطية [23] سمر,ابو [10] سيدة,الإعلام [8] aljadeednews,#سمر_الواطية [8] abdel_s_moussa,samarabukhalil [7] من,النجاح [7] حققت,حلمها [7] المزيد,من Top Word Pairs in Tweet in G3:
[37] #سمر_الواطية,#سمر_الواطية [16] مسجدي,#التقوى_والسلام [16] تفجير,مسجدي [14] #التقوى_والسلام,#سمر_الواطيه [10] #لبنان,#لبنان_ليس_بخير [10] samarabukhalil,#سمر_الواطية [9] أبو,خليل [9] #سمر_الواطيه,#سمر_الواطيه [7] mariamalbassam,#سمر_الواطية [4] ر,العيلة Top Word Pairs in Tweet in G4:
[35] #سمر_الواطية,#سمر_الواطية [10] يا,#سمر_الواطية [9] الهاشتاغ,#سمر_الواطية [8] ابو,خليل [8] سمر,ابو [7] سمر,بو [7] بو,خليل [7] حبيت,الهاشتاغ [7] samarabukhalil,#سمر_الواطية [6] اللبناني,سوريا Top Word Pairs in Tweet in G5:
[6] عبد,الساتر [6] فيصل,عبد [5] ابو,خليل [5] سمر,ابو [4] اللوح,حبيب [4] علي,حجازي [4] الفدان,فيصل [4] حبيب,فياض [4] #سمر_الواطيه,من [4] ل,#سمر_الواطية Top Word Pairs in Tweet in G6:
[17] هاشتاغ,#سمر_الواطية [16] يلوح,في [16] #سمر_الواطية,يلوح [16] الأفق,نشارك [16] في,الأفق [15] wajih_12,هاشتاغ [11] من,لحيسة [11] بلوك,من [11] آكل,بلوك [11] المجرم,#سمر_الواطية Top Word Pairs in Tweet in G7:
[20] مكروهة,عند [20] منحازة,لاحد [20] عند,جماهير [20] اكثر,وهذا [20] وهذا,ما [20] مصداقية,محاورة [20] الحقيقة,ليس [20] تقول,الحقيقة [20] مثقفة,غير [20] يجعلها,مكروهة Top Word Pairs in Tweet in G8:
[28] الأب,الإبن [28] لبنان,ومن [28] الحريري,اللي [28] اللي,هني [28] آل,الحريري [28] هني,٩٠ [28] البلد,#سمر_الواطية [28] من,آل [28] سبب,خراب [28] سنين,بالسياسة Top Word Pairs in Tweet in G9:
[25] بس,اردتموها [25] نبهناكم,انو [25] معركة,فلتكن [25] ابو,خليل [25] سمر,ابو [25] التجني,على [25] تتقاضى,شهريا [25] هو,التجني [25] شهريا,٣٠٠ [25] انو,الامر Top Word Pairs in Tweet in G10:
[16] بتحبي,بشار [16] بشار,انقلعي [16] انقلعي,لعندو [16] لعندو,#سمر_الواطية [15] sharifhijazi11,بتحبي [3] في,كسروان [3] #hiking,في [3] يمارس,رياضة [3] كسروان,شمال [3] رياضة,ال 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 G4:
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 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: