The graph represents a network of 7,704 Twitter users whose recent tweets contained "list:19390498 filter:links since:2022-10-10 until:2022-10-17", 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, 17 October 2022 at 13:31 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 52-minute period from Monday, 10 October 2022 at 00:05 UTC to Sunday, 16 October 2022 at 23:58 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 : 7704
Unique Edges : 13113
Edges With Duplicates : 8503
Total Edges : 21616
Number of Edge Types : 5
MentionsInRetweet : 3518
Mentions : 5068
Retweet : 5674
Tweet : 6650
Replies to : 706
Self-Loops : 6717
Reciprocated Vertex Pair Ratio : 0.0313212325875897
Reciprocated Edge Ratio : 0.0607400130975769
Connected Components : 267
Single-Vertex Connected Components : 77
Maximum Vertices in a Connected Component : 6790
Maximum Edges in a Connected Component : 19765
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.915912
Graph Density : 0.000205850938846094
Modularity : 0.55307
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 7,704 Twitter users whose recent tweets contained "list:19390498 filter:links since:2022-10-10 until:2022-10-17", 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, 17 October 2022 at 13:31 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 52-minute period from Monday, 10 October 2022 at 00:05 UTC to Sunday, 16 October 2022 at 23:58 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:2022-10-10 until:2022-10-17
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:
[356] de,la [117] en,el [109] en,la [87] de,los [66] social,media [61] data,journalism [59] liz,truss [58] covid,19 [54] journalist's,toolbox [53] atlantic,city Top Word Pairs in Tweet in G1:
[33] brody,mullins [29] 2020,election [28] executive,branch [22] republicans,running [22] state,federal [21] child,welfare [20] federal,offices [20] decisions,agencies [20] rise,fall [20] running,highest Top Word Pairs in Tweet in G2:
[33] liz,truss [32] mini,budget [17] kwasi,kwarteng [11] interest,rates [11] downing,street [10] russian,missile [9] week's,climate [9] ring,road [9] bivariate,colour [9] uk,government Top Word Pairs in Tweet in G3:
[9] covid,19 [9] covid,relief [8] funds,police [8] riot,gear [8] susie_c,marshallproj [8] relief,funds [8] independence,missouri [6] sea,ice [6] police,dog [6] unit,cameras Top Word Pairs in Tweet in G4:
[19] nury,martinez [18] city,council [11] los,angeles [11] social,media [10] leaked,audio [10] fat,bear [7] de,león [7] single,family [7] bear,week [6] council,members Top Word Pairs in Tweet in G5:
[97] de,la [24] sur,les [21] pour,le [21] avec,la [18] les,cartes [17] dans,les [17] du,#portfolioday [16] par,mois [16] je,suis [15] des,mots Top Word Pairs in Tweet in G6:
[17] fake,news [15] segundo,turno [12] se,você [12] de,la [11] de,hoje [10] não,só [9] de,bolsonaro [9] séries,completas [8] mais,de [8] são,paulo Top Word Pairs in Tweet in G7:
[54] journalist's,toolbox [23] #ukraine,#russia [23] #russia,#ukrainerussiawar [21] resources,journalist's [17] data,journalism [17] tools,training [15] subscriptions,#journalism [15] newsletter,subscribe [15] training,channel [15] toolbox,subscribe Top Word Pairs in Tweet in G8:
[10] wir,haben [8] auch,der [8] die,daten [8] der,letzten [8] aus,der [8] der,ukraine [8] super,pac [8] das,ist [8] über,die [7] für,die Top Word Pairs in Tweet in G9:
[9] social,science [7] exciting,news [6] social,media [6] statesman,media [6] media,group [5] group,union [5] news,statesman [5] computational,social [5] rural,reporting [4] hundreds,court Top Word Pairs in Tweet in G10:
[13] ein,paar [10] #iranrevolution,#mahsaamini [8] ist,die [8] teilt,es [8] #iranprotests2022,#iranrevolution2022 [7] immer,noch [7] 12,oktober [7] aber,auch [7] das,ist [6] wiener,zeitung 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: