The graph represents a network of 5,731 Twitter users whose tweets in the requested range contained "blacklivesmatter", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 December 2021 at 20:30 UTC.
The requested start date was Monday, 13 December 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 6-hour, 40-minute period from Friday, 10 December 2021 at 18:12 UTC to Monday, 13 December 2021 at 00:52 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 : 5731
Unique Edges : 3842
Edges With Duplicates : 12414
Total Edges : 16256
Number of Edge Types : 5
Replies to : 707
Mentions : 2439
Retweet : 4628
MentionsInRetweet : 6233
Tweet : 2249
Self-Loops : 2642
Reciprocated Vertex Pair Ratio : 0.00965537730243613
Reciprocated Edge Ratio : 0.0191260850375165
Connected Components : 918
Single-Vertex Connected Components : 448
Maximum Vertices in a Connected Component : 3907
Maximum Edges in a Connected Component : 13783
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.923138
Graph Density : 0.000206981838158291
Modularity : 0.394886
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,731 Twitter users whose tweets in the requested range contained "blacklivesmatter", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 December 2021 at 20:30 UTC.
The requested start date was Monday, 13 December 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 6-hour, 40-minute period from Friday, 10 December 2021 at 18:12 UTC to Monday, 13 December 2021 at 00:52 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 : GraphServerTwitterSearch
Graph Term : blacklivesmatter
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:
[589] ding,ding [238] neo,nazi [238] nazi,group [218] hate,crimes [211] chats,leaked [211] leaked,afainatl [211] afainatl,thomas [211] thomas,rousseau [211] rousseau,leader [211] leader,neo Top Word Pairs in Tweet in G1:
[103] #corruption,medical [103] medical,schemes [85] schemes,incompetence [85] incompetence,true [85] true,crisis [85] crisis,#alberteinstein [83] ding,ding [82] higheredugovza,polmedza [72] polmedza,sadtunational [72] sadtunational,hpcsa_ Top Word Pairs in Tweet in G2:
[52] #mikesrandomthoughts,#redwave2022 [51] #redwave2022,#redwave2024 [51] #bluelivesmatter,#senate [46] #chinajoebiden,#bluelivesmatter [38] #blm,#blacklivesmatter [29] #redwave2024,#joebidensamerica [29] #senate,#congress [24] #joebidensamerica,#chinajoebiden [22] #redwave2024,#chinajoebiden [15] black,people Top Word Pairs in Tweet in G3:
[30] police,#blacklivesmatter [25] #blm,#blacklivesmatter [17] ding,ding [16] #blacklivesmatter,#mlk [15] lewis,hamilton [14] botdefund,defund [13] black,lives [12] lives,matter [12] #blacklivesmatter,#blacktwitter [12] #blacklivesmatter,#defundthepolice Top Word Pairs in Tweet in G4:
[489] ding,ding [94] ding,#pennstate [94] #pennstate,#blacklivesmatter [94] #blacklivesmatter,#justiceforall [48] oldmainbell,ding [47] #democrats,#democratsareadisaster [47] #democratsareadisaster,#republicans [47] #republicans,#whitehouse [47] #whitehouse,#bidenadministration [47] #bidenadministration,#aoc Top Word Pairs in Tweet in G5:
[233] neo,nazi [233] nazi,group [209] hate,crimes [208] chats,leaked [208] leaked,afainatl [208] afainatl,thomas [208] thomas,rousseau [208] rousseau,leader [208] leader,neo [208] group,#patriotfront Top Word Pairs in Tweet in G6:
[37] oprah,#oprahsfavoritethings [36] #oprahsfavoritethings,#trialbymediamj [36] #trialbymediamj,#blacklivesmatter [35] eckhardsson,oprah [26] yacob_marta,lavanimila [23] lavanimila,pmethiopia [23] pmethiopia,abiyahmedali [23] abiyahmedali,thank [23] thank,much [23] much,dear Top Word Pairs in Tweet in G7:
[141] transkeen,please [138] please,ignore [138] ignore,still [138] still,homeless [138] homeless,living [134] living,dangerous [134] dangerous,place [134] place,spend [134] spend,christmas [40] help,trans Top Word Pairs in Tweet in G8:
[155] _webshareztv,#realitybites [144] #realitybites,#daniloignacio [124] #daniloignacio,#followus [89] #followus,#changingthenarrative [84] mass,amount [84] amount,money [84] money,made [83] made,american [83] american,slavery [83] slavery,_webshareztv Top Word Pairs in Tweet in G9:
[7] #blm,#blacklivesmatter [3] jussie,smollett [3] harris,#blacklivesmatter [2] #blacklivesmatter,stands [2] stands,jussie [2] smollett,donlemon [2] donlemon,don [2] don,needs [2] needs,strategic [2] strategic,opportunities Top Word Pairs in Tweet in G10:
[90] proud,american [90] american,proud [90] proud,member [90] member,democratic [90] democratic,party [90] party,deeply [90] deeply,disappointed [90] disappointed,biden [90] biden,simple [90] simple,thing 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 G6:
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: