The graph represents a network of 94 Twitter users whose recent tweets contained "PaCSS", 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, 18 June 2022 at 16:51 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 56-minute period from Friday, 10 June 2022 at 21:23 UTC to Saturday, 18 June 2022 at 16:19 UTC.
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 : 94
Unique Edges : 256
Edges With Duplicates : 100
Total Edges : 356
Number of Edge Types : 5
Retweet : 83
Mentions : 70
Tweet : 46
MentionsInRetweet : 146
Replies to : 11
Self-Loops : 46
Reciprocated Vertex Pair Ratio : 0.0942622950819672
Reciprocated Edge Ratio : 0.172284644194757
Connected Components : 7
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 86
Maximum Edges in a Connected Component : 344
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.642645
Graph Density : 0.0305422100205903
Modularity : 0.398267
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 94 Twitter users whose recent tweets contained "PaCSS", 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, 18 June 2022 at 16:51 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 56-minute period from Friday, 10 June 2022 at 21:23 UTC to Saturday, 18 June 2022 at 16:19 UTC.
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 : PaCSS
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:
[14] elite,anti [14] anti,feminist [13] computational,social [13] social,science [10] uc,davis [9] #politics,#css [9] keyword,based [9] based,approaches [9] #pacss,tomorrow [9] tomorrow,iqss Top Word Pairs in Tweet in G1:
[8] uc,davis [6] computational,social [6] social,science [6] pew,research [6] research,center [4] social,media [4] university,#pacss [4] northeastern,university [4] york,university [4] university,michigan Top Word Pairs in Tweet in G2:
[10] elite,anti [10] anti,feminist [7] keyword,based [7] based,approaches [6] brilliant,colleague [6] colleague,adinagitomer [6] adinagitomer,presenting [6] presenting,work [6] work,examining [6] examining,keyword Top Word Pairs in Tweet in G3:
[8] #pacss,tomorrow [8] tomorrow,iqss [8] iqss,11am [8] 11am,exciting [8] exciting,line [8] line,iqss [8] iqss,hosting [8] hosting,support [8] support,sagepublishers [8] sagepublishers,massivedata_gu Top Word Pairs in Tweet in G4:
[7] findings,#pacss [6] report,_bestvater [6] _bestvater,aaron_w_smith [6] aaron_w_smith,griverorz [6] griverorz,data [6] data,labs [6] labs,team [6] team,politics [6] politics,twitter [6] twitter,discussing Top Word Pairs in Tweet in G5:
[3] hopped,river [3] river,#pacss [3] #pacss,join [3] join,nujournalism [3] nujournalism,colleague [3] colleague,rahulbot [3] rahulbot,presenting [3] presenting,research [3] research,gender [3] gender,racial Top Word Pairs in Tweet in G7:
[4] passive,info [4] info,consumers [2] _jenallen,adds [2] adds,excellent [2] excellent,talk [2] talk,difference [2] difference,exposure [2] exposure,engagement [2] engagement,fb [2] fb,syncs Top Word Pairs in Tweet in G8:
[2] cherijacobus,open [2] open,secrets [2] secrets,expenditures [2] expenditures,placing [2] placing,ads [2] ads,difficult [2] difficult,follow [2] follow,pac [2] pac,problem [2] problem,pacss Top Word Pairs in Tweet in G9:
[2] exposure,radical [2] radical,content [2] content,youtube [2] uc,davis 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 G7:
Top Replied-To in G8:
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 G7:
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: