The graph represents a network of 6,058 Twitter users whose recent tweets contained "Ramez", 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 Monday, 11 February 2019 at 02:26 UTC.
The tweets in the network were tweeted over the 9-day, 21-hour, 56-minute period from Friday, 01 February 2019 at 04:17 UTC to Monday, 11 February 2019 at 02:13 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 : 6058
Unique Edges : 8478
Edges With Duplicates : 4276
Total Edges : 12754
Self-Loops : 1704
Reciprocated Vertex Pair Ratio : 0.0457206926622649
Reciprocated Edge Ratio : 0.0874434119609245
Connected Components : 912
Single-Vertex Connected Components : 642
Maximum Vertices in a Connected Component : 2200
Maximum Edges in a Connected Component : 6263
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.565317
Graph Density : 0.000228761071569839
Modularity : 0.576705
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[550] ramez,tebet [502] renan,é [406] simone,tebet [397] q,não [393] contra,ele [391] ele,ao [389] é,tão [388] tão,cretino [388] cretino,q [388] não,bastou Top Word Pairs in Tweet in G1:
[222] carbon,emissions [209] livestock,methane [205] reducing,carbon [204] manufacturing,agriculture [203] agriculture,manufacturing [203] agriculture,livestock [201] momentum,reducing [201] emissions,agriculture [200] ramez,momentum [200] methane,emissi Top Word Pairs in Tweet in G2:
[65] ramez,tebet [43] great,thread [41] climate,change [40] falecido,ramez [40] new,deal [38] green,new [37] simone,renan [37] renan,ataca [37] climate,policy [36] vingar,simone Top Word Pairs in Tweet in G3:
[377] renan,é [365] contra,ele [361] é,tão [360] tão,cretino [360] cretino,q [360] q,não [360] não,bastou [360] bastou,pedir [360] pedir,expulsar [360] expulsar,simonetebetms Top Word Pairs in Tweet in G4:
[144] simone,tebet [135] jornalista,dorakramer [106] vale,lembrar [106] lembrar,além [106] além,alvo [106] alvo,óbvio [106] óbvio,excelente [106] excelente,jornalista [106] dorakramer,maldito [106] maldito,tweet Top Word Pairs in Tweet in G5:
[156] climate,change [109] stop,climate [70] ramez,noahpinion [59] carbon,emissions [58] thread,green [58] green,new [58] new,deal [56] awesome,thread [55] deal,actually [55] actually,need Top Word Pairs in Tweet in G6:
[179] há,farto [179] farto,material [179] material,escândalo [179] escândalo,mais [179] mais,desconcertante [179] desconcertante,é [179] é,renan [179] renan,tenta [179] tenta,apresentar [179] apresentar,sujeito Top Word Pairs in Tweet in G7:
[189] não,respeita [189] respeita,mulher [189] mulher,e [189] e,enxovalha [189] enxovalha,alguém [189] alguém,já [189] já,não [189] não,está [189] está,entre [189] entre,nós Top Word Pairs in Tweet in G8:
[163] free,market [153] leave,free [153] market,unpopular [153] unpopular,opinion [153] opinion,literally [153] literally,acceptable [153] acceptable,opinion [152] graceblakeley,leave [152] opinion,l [126] graceblakeley,ramez Top Word Pairs in Tweet in G9:
[126] ramez,tebet [116] vingar,simone [116] simone,renan [116] renan,ataca [116] ataca,honra [116] honra,pai [116] pai,falecido [116] falecido,ramez [86] renan,é [84] tebet,renan Top Word Pairs in Tweet in G10:
[119] critique,green [119] green,new [119] new,deal [113] interesting,critique [113] deal,come [112] charlescmann,interesting [6] agree,charlescmann [6] charlescmann,excellent [6] excellent,critique [5] tamarhaspel,agree Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G10: