The graph represents a network of 6,144 Twitter users whose recent tweets contained "list:19390498 filter:links since:2023-01-09 until:2023-01-16", 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, 16 January 2023 at 14:40 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 57-minute period from Monday, 09 January 2023 at 00:01 UTC to Sunday, 15 January 2023 at 23:59 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 : 6144
Unique Edges : 9816
Edges With Duplicates : 5884
Total Edges : 15700
Number of Edge Types : 5
Mentions : 3819
Replies to : 621
Retweet : 3959
Tweet : 4981
MentionsInRetweet : 2320
Self-Loops : 5018
Reciprocated Vertex Pair Ratio : 0.0335408022130014
Reciprocated Edge Ratio : 0.0649046503847441
Connected Components : 282
Single-Vertex Connected Components : 84
Maximum Vertices in a Connected Component : 5215
Maximum Edges in a Connected Component : 13987
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.221302
Graph Density : 0.00023758304676054
Modularity : 0.576856
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,144 Twitter users whose recent tweets contained "list:19390498 filter:links since:2023-01-09 until:2023-01-16", 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, 16 January 2023 at 14:40 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 57-minute period from Monday, 09 January 2023 at 00:01 UTC to Sunday, 15 January 2023 at 23:59 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 : list:19390498 filter:links since:2023-01-09 until:2023-01-16
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[296] de,la [83] en,el [74] de,los [66] en,la [60] social,media [45] journalist's,toolbox [45] george,santos [38] de,las [36] covid,19 [34] native,american Top Word Pairs in Tweet in G1:
[45] journalist's,toolbox [29] native,american [19] american,remains [17] resources,journalist's [15] york,city [12] newsletter,subscribe [12] toolbox,subscribe [12] training,channel [12] 20,21 [12] subscribe,journalist's Top Word Pairs in Tweet in G2:
[14] excess,deaths [10] twin,cities [9] space,world [8] plant,trees [8] star,wars [7] world,everyone's [7] exclusive,companies [7] everyone's,schemes [7] data,reveals [7] reveals,space Top Word Pairs in Tweet in G3:
[24] em,brasília [14] jeff,beck [14] de,bolsonaro [14] nas,redes [13] palácio,planalto [12] de,janeiro [10] mais,de [10] redes,sociais [10] governo,federal [10] cartão,corporativo Top Word Pairs in Tweet in G4:
[11] und,die [10] aus,dem [8] gibt,es [8] ist,es [8] über,die [7] nicht,mehr [6] ich,habe [6] ein,paar [6] ich,kann [6] von,betroffenen Top Word Pairs in Tweet in G5:
[11] seasonal,affective [11] affective,disorder [8] ball,clouds [8] piece,seasonal [8] atmospheric,rivers [8] family,cotton [8] cotton,ball [7] clouds,help [7] help,illustrate [7] disorder,well Top Word Pairs in Tweet in G6:
[7] post,news [6] people,leave [6] bored,apes [5] robert,fratta [4] social,media [4] fisher,price [4] big,tech [4] apes,guys [4] apps,appear [4] percentage,publishers Top Word Pairs in Tweet in G7:
[5] social,media [5] level,impact [4] peaceful,transfer [4] people,disabilities [4] house,chamber [4] great,piece [4] ordinary,americans [4] profit,hospitals [4] transfer,power [4] covid,19 Top Word Pairs in Tweet in G8:
[88] de,la [27] nombre,de [25] en,france [24] le,nombre [23] la,carte [21] dans,les [17] dans,le [16] de,décès [16] en,soins [16] la,semaine Top Word Pairs in Tweet in G9:
[10] de,la [8] semantic,search [8] russian,missile [7] missile,strike [7] warmest,record [7] european,countries [7] analysis,nielsdhg [6] records,2022 [6] temperature,records [6] summer,analysis Top Word Pairs in Tweet in G10:
[15] wir,haben [14] bei,zeitonline [13] hat,die [12] und,aus [11] die,städte [10] ausgewertet,titel [10] neues,jahr [10] jahr,neues [10] haben,bei [10] aus,großstädten 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: