The graph represents a network of 9,158 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 Saturday, 11 September 2021 at 11:07 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 58-minute period from Friday, 03 September 2021 at 01:44 UTC to Saturday, 11 September 2021 at 09:43 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 : 9158
Unique Edges : 13429
Edges With Duplicates : 9523
Total Edges : 22952
Number of Edge Types : 5
Tweet : 4167
Retweet : 11244
MentionsInRetweet : 4912
Mentions : 2278
Replies to : 351
Self-Loops : 4439
Reciprocated Vertex Pair Ratio : 0.016133742152139
Reciprocated Edge Ratio : 0.0317551548243408
Connected Components : 1413
Single-Vertex Connected Components : 941
Maximum Vertices in a Connected Component : 6475
Maximum Edges in a Connected Component : 18696
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.64975
Graph Density : 0.000165979396613438
Modularity : 0.56299
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 9,158 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 Saturday, 11 September 2021 at 11:07 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 58-minute period from Friday, 03 September 2021 at 01:44 UTC to Saturday, 11 September 2021 at 09:43 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:
[2369] #machinelearning,#bigdata [2369] #bigdata,#100daysofcode [2316] #100daysofcode,#python [2316] #python,#deeplearning [2306] #ai,#datascience [2306] #datascience,#machinelearning [1959] #iot,#devops [1918] #vacancy,#lebanon [1857] #digitaltransformation,#codenewbie [1612] #digitalmarketing,#cybersecurity Top Word Pairs in Tweet in G1:
[177] najib,mikati [133] 24,member [110] member,govt [100] pm,najib [99] #breaking,#lebanon [93] #lebanon,pm [87] mikati,officially [84] central,bank [84] officially,heads [84] heads,24 Top Word Pairs in Tweet in G2:
[57] #beirut,#lebanon [52] #ليش_ما_عزمتوني,#ليش_ما_عزمتوني [46] #lebanon,#beirut [34] #لبنان,#بيروت [32] #ليش_ما_عزمتوني,#جو_رعد [30] #syria,#lebanon [23] #lebanon,#egypt [21] #جو_رعد,#جو_رعد [21] #jordan,#lebanon [20] #lebanon,#لبنان Top Word Pairs in Tweet in G3:
[240] prime,minister [192] m1,group [191] oligarch,najib_mikati [191] najib_mikati,prime [191] minister,#lebanon [191] #lebanon,buyer [191] buyer,telenor_mm [191] telenor_mm,m1 [191] group,history [191] history,business Top Word Pairs in Tweet in G4:
[121] #lebanon's,central [121] central,bank [121] bank,chief [121] chief,caught [121] caught,smuggling [121] smuggling,cash [121] cash,france [116] embarassing,#lebanon's [116] france,read [116] read,salameh Top Word Pairs in Tweet in G5:
[123] arab,'wife [123] 'wife,beating' [123] beating',panel [123] panel,#lebanon [123] #lebanon,tv [123] very,candid [123] husband,beat [91] arab,states [84] middle,east [77] video,wife Top Word Pairs in Tweet in G6:
[220] omar,bakri [125] shaykh,ahmad [125] ahmad,jibril [118] lebisf,un_lebanon [118] dgsg_security,lbpresidency [117] lbpresidency,#freesheikhomarbakrimuhammad [111] jibril,#freesheikhomarbakrimuhammad [109] bakri,#lebanon [69] illegal,imprisonment [69] imprisonment,torture Top Word Pairs in Tweet in G7:
[151] #beirut,yesterday [151] yesterday,evening [151] evening,#lebanon [21] #lebanon,government [21] government,13 [21] 13,month [21] month,vacancy [21] vacancy,ministers [21] ministers,mostly [21] mostly,affiliated Top Word Pairs in Tweet in G8:
[56] #photography,#lebanon [48] محمية,أرز [43] #lebanon,#صباح_الخير [43] #صباح_الخير,#لبنان [39] #usa,#london [38] #liban,#lebanon [34] #tourism,#travel [34] #liban,#beirut [31] #lebanon,#liban [27] #london,#lebanon Top Word Pairs in Tweet in G9:
[187] name,abir [187] abir,live [187] live,#dubai [187] #dubai,banned [187] banned,travelling [187] travelling,see [187] see,mother [187] mother,#lebanon [187] #lebanon,without [187] without,pcr Top Word Pairs in Tweet in G10:
[132] #تيار_المستقبل,يرعى [132] يرعى,تهريب [132] تهريب,المحروقات [132] المحروقات,في [132] في,الشمال [132] الشمال,ويحمي [132] ويحمي,أكبر [132] أكبر,تج [132] تج,ار [132] ار,الإحتكار Top Replied-To in Entire Graph:
Top Replied-To in G1:
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: