The graph represents a network of 1,589 Twitter users whose recent tweets contained "#DIF", 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, 23 October 2021 at 00:12 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 47-minute period from Thursday, 14 October 2021 at 04:44 UTC to Friday, 22 October 2021 at 23:32 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 : 1589
Unique Edges : 1837
Edges With Duplicates : 785
Total Edges : 2622
Number of Edge Types : 5
Retweet : 1359
MentionsInRetweet : 483
Tweet : 388
Mentions : 337
Replies to : 55
Self-Loops : 398
Reciprocated Vertex Pair Ratio : 0.00430338891877353
Reciprocated Edge Ratio : 0.00856989823245849
Connected Components : 237
Single-Vertex Connected Components : 151
Maximum Vertices in a Connected Component : 410
Maximum Edges in a Connected Component : 443
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.533833
Graph Density : 0.000739894710644497
Modularity : 0.698747
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,589 Twitter users whose recent tweets contained "#DIF", 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, 23 October 2021 at 00:12 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 47-minute period from Thursday, 14 October 2021 at 04:44 UTC to Friday, 22 October 2021 at 23:32 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 : #DIF
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:
[227] #dif,#boxing [223] blue,boxing [223] boxing,#dif [223] #boxing,#cyan [205] sistemas,estatales [185] #dif,#moniwar [185] #moniwar,#nftgames [185] #nftgames,mowa [183] #moniwar_game,將在今天会上薄饼 [183] 將在今天会上薄饼,今天 Top Word Pairs in Tweet in G1:
[227] #dif,#boxing [223] blue,boxing [223] boxing,#dif [223] #boxing,#cyan [144] going,#halloween [144] #halloween,#dif [144] #dif,jiangshi [62] difbun,#bolter [62] #bolter,#dif [12] dif,#dif Top Word Pairs in Tweet in G2:
[181] #moniwar_game,將在今天会上薄饼 [181] 將在今天会上薄饼,今天 [181] 今天,#ido [181] #ido,还会在 [181] 还会在,kardiachain [181] kardiachain,网络 [181] 网络,发射 [181] 发射,迫不及待 [181] 迫不及待,x100 [181] x100,即將推出 Top Word Pairs in Tweet in G3:
[15] presidenta,dif [13] #dif,estatal [11] niñas,niños [11] dif,quintana [11] quintana,roo [11] roo,reitera [11] reitera,compromiso [11] compromiso,lograr [11] lograr,bienestar [11] bienestar,familiar Top Word Pairs in Tweet in G4:
[61] #dif,#ife [26] tele2,arena [26] mitt,mål [26] #djurgårdsfamiljen,#dif [25] hej,twitter [25] twitter,innan [25] innan,sommaren [25] sommaren,hade [25] hade,jag [25] jag,runt Top Word Pairs in Tweet in G5:
[63] #dif,#hwl [63] #hwl,#metaverse [30] let's,learn [30] learn,play [30] play,#howlcity [30] #howlcity,racing [30] racing,game [30] game,dif [30] dif,#dif [17] ido,tickets Top Word Pairs in Tweet in G6:
[204] sistemas,estatales [116] estatales,municipales [116] municipales,#dif [94] programas,alimentarios [88] estatales,#dif [68] #boletínsndif,programas [68] alimentarios,#dif [68] #dif,logran [68] logran,disminuir [68] disminuir,desnutrición Top Word Pairs in Tweet in G7:
[12] #puebla,eduardorivera01 [10] alcalde,#puebla [8] #quenosetepase,alcalde [8] eduardorivera01,puso [8] puso,marcha [8] marcha,reactivación [8] reactivación,estancias [8] estancias,infantiles [8] infantiles,capital [8] capital,ofreció Top Word Pairs in Tweet in G8:
[18] #fakenewsalert,#falso [18] #falso,difcdmx [18] difcdmx,#cdmx [18] #cdmx,regale [18] regale,despensas [18] despensas,#dif [18] #dif,#cdmx [18] #cdmx,desmintió [18] desmintió,información [18] información,precisó Top Word Pairs in Tweet in G9:
[31] marketing,samurai [31] samurai,strong [31] strong,crypto [31] crypto,project [31] project,going [31] going,game [31] game,changer [31] changer,co [31] co,shzjmp8zb3 [31] shzjmp8zb3,tg Top Word Pairs in Tweet in G10:
[45] #dif,#skanstull [20] #derbyday,många [20] många,skador [20] skador,vorre [20] vorre,toppen [20] toppen,#dif [14] #softaofta,#dif [11] till,#brajen [11] #brajen,var [11] var,ett Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
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 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: