The graph represents a network of 971 Twitter users whose recent tweets contained "incivility", 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 Wednesday, 30 November 2022 at 14:33 UTC.
The tweets in the network were tweeted over the 8-day, 10-hour, 7-minute period from Monday, 21 November 2022 at 23:47 UTC to Wednesday, 30 November 2022 at 09:55 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 : 971
Unique Edges : 1001
Edges With Duplicates : 112
Total Edges : 1113
Number of Edge Types : 5
Retweet : 349
MentionsInRetweet : 137
Replies to : 220
Mentions : 282
Tweet : 125
Self-Loops : 130
Reciprocated Vertex Pair Ratio : 0.00869565217391304
Reciprocated Edge Ratio : 0.0172413793103448
Connected Components : 237
Single-Vertex Connected Components : 73
Maximum Vertices in a Connected Component : 86
Maximum Edges in a Connected Component : 112
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.630673
Graph Density : 0.000985273976238759
Modularity : 0.851503
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 971 Twitter users whose recent tweets contained "incivility", 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 Wednesday, 30 November 2022 at 14:33 UTC.
The tweets in the network were tweeted over the 8-day, 10-hour, 7-minute period from Monday, 21 November 2022 at 23:47 UTC to Wednesday, 30 November 2022 at 09:55 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 : incivility
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:
[50] right,wing [48] media,ubiquitously [48] wing,media [48] right,extremism [48] incivility,civil [48] media,excuses [48] mainstream,media [48] false,narrative [48] extremist,violence [48] ubiquitously,continues Top Word Pairs in Tweet in G1:
[21] cut,show [21] incivility,ha [21] show,incivility [6] 76,respondents [5] christine,porath [5] survey,000 [5] support,employees [5] era,incivility [5] improve,customer [5] frontline,managers Top Word Pairs in Tweet in G2:
[4] civil,discourse [4] elonmusk,billym2k [3] incivility,hate [2] like,far [2] radiofreetom,elonmusk [2] incivility,twitter [2] civility,incivility [2] hate,speech [2] realmusto,elonmusk [2] elonmusk,civil Top Word Pairs in Tweet in G3:
[31] homo,transphobia [31] anger,hatred [31] transphobia,xenophobia [31] races,unfathomable [31] unfathomable,ton [31] racism,homo [31] republican,party [31] semitism,racism [31] anti,semitism [31] corruption,treason Top Word Pairs in Tweet in G4:
[48] extremist,violence [48] disturbing,trend [48] media,ubiquitously [48] ubiquitously,continues [48] wing,media [48] continues,push [48] trend,mainstream [48] violence,disturbing [48] far,right [48] push,dangerously Top Word Pairs in Tweet in G5:
[47] proud,democrat [47] rn_dnp_crnp_mph,proud [47] gop,rn_dnp_crnp_mph [47] incivility,gop [47] democrat,resister [47] meet,blue [47] survive,incivility [47] trying,survive [47] voices,like [47] resister,meet Top Word Pairs in Tweet in G6:
[17] saves,lives [9] governing,bodies [9] #civility,#compassion [9] #incivility,#oppression [9] bodies,#nhs [9] #cruelty,kills [9] kills,people [9] #antiracism,#civility [9] simple,#antiracism [9] managers,governing Top Word Pairs in Tweet in G7:
[15] continually,lying [15] lighting,fuse [15] consequence,schiff [15] lying,public [15] division,incivility [15] schiff,reportedly [15] fuse,division [14] tweet,expected [14] gopleader,consequence [14] expected,brand Top Word Pairs in Tweet in G8:
[9] moment,encouraging [9] frontline,managers [9] candor,process [9] employees,intervening [9] managers,called [9] strategies,support [9] process,responding [9] support,employees [9] responding,incivility [9] encouraging,candor Top Word Pairs in Tweet in G9:
[2] interest,scholars [2] activism,incivility [2] negative,campaigning [2] alessandro_nai,davekarpf [2] kreissdaniel,dfreelon [2] patyrossini,alessandro_nai [2] davekarpf,profafinlayson [2] incivility,negative [2] profafinlayson,mwkrzyzanowski [2] dfreelon,nikohat Top Word Pairs in Tweet in G10:
[4] blocked,incivility [2] ghooshyoda,lumberjacek [2] mylovanov,blocked [2] lumberjacek,mylovanov Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
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: