The graph represents a network of 882 Twitter users whose recent tweets contained "#nationalblooddonormonth", 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 Sunday, 30 January 2022 at 00:52 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 20-minute period from Friday, 21 January 2022 at 18:00 UTC to Saturday, 29 January 2022 at 23:20 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 : 882
Unique Edges : 1021
Edges With Duplicates : 198
Total Edges : 1219
Number of Edge Types : 5
Mentions : 183
Retweet : 494
Tweet : 354
Replies to : 8
MentionsInRetweet : 180
Self-Loops : 355
Reciprocated Vertex Pair Ratio : 0.0223325062034739
Reciprocated Edge Ratio : 0.0436893203883495
Connected Components : 262
Single-Vertex Connected Components : 160
Maximum Vertices in a Connected Component : 259
Maximum Edges in a Connected Component : 465
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.108087
Graph Density : 0.00106043173985447
Modularity : 0.714081
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 882 Twitter users whose recent tweets contained "#nationalblooddonormonth", 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 Sunday, 30 January 2022 at 00:52 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 20-minute period from Friday, 21 January 2022 at 18:00 UTC to Saturday, 29 January 2022 at 23:20 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 : #nationalblooddonormonth
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:
[202] january,#nationalblooddonormonth [147] giving,blood [131] donating,blood [119] blood,donor [107] during,#nationalblooddonormonth [106] blood,donation [105] national,blood [104] save,life [88] save,lives [88] blood,needed Top Word Pairs in Tweet in G1:
[37] blood,donor [34] january,#nationalblooddonormonth [30] national,blood [29] donor,month [25] donating,blood [20] red,cross [19] save,life [19] giving,blood [17] save,lives [17] donate,blood Top Word Pairs in Tweet in G2:
[62] during,#nationalblooddonormonth [56] blood,donations [39] know,redcross [38] blood,crisis [37] redcross,collect [37] collect,12 [37] 12,500 [37] 500,blood [37] donations,nearly [37] nearly,000 Top Word Pairs in Tweet in G3:
[58] seconds,blood [58] blood,needed [58] needed,help [58] help,patients [58] patients,battling [58] battling,injury [58] injury,illness [58] illness,january [58] january,#nationalblooddonormonth [58] #nationalblooddonormonth,donate Top Word Pairs in Tweet in G4:
[29] january,#nationalblooddonormonth [26] safe,simple [26] simple,process [26] save,lives [23] #nationalblooddonormonth,volunteer [23] volunteer,blood [23] blood,donation [23] donation,safe [23] process,save [23] lives,learn Top Word Pairs in Tweet in G5:
[38] january,consider [38] consider,donating [38] donating,blood [38] blood,#nationalblooddonormonth [38] #nationalblooddonormonth,process [38] process,quick [38] quick,safe [38] safe,easy [38] easy,truly [38] truly,lifesaving Top Word Pairs in Tweet in G6:
[14] donate,donut [12] donut,jimmyfallon [12] jimmyfallon,donate [12] donate,#nationalblooddonormonth [12] #nationalblooddonormonth,thanks [12] thanks,krispykreme [12] krispykreme,dunkindonuts [12] dunkindonuts,support [6] ice,cream [6] schedule,donation Top Word Pairs in Tweet in G7:
[26] #nbdm,#nbdm22 [26] #nbdm22,#nationalblooddonormonth [14] blood,donor [12] blood,supply [12] appointment,give [12] give,today [12] today,#nbdm [10] #nationalblooddonormonth,#giveblood [9] blood,donors [9] blood,essential Top Word Pairs in Tweet in G8:
[15] blood,donation [13] blood,crisis [9] national,blood [9] please,consider [8] yesterday,toured [8] toured,virginia [8] virginia,beach [8] beach,red [8] red,cross [8] cross,donation Top Word Pairs in Tweet in G9:
[9] team,members [8] blood,transfusion [7] #nationalblooddonormonth,spotlight [7] spotlight,team [7] members,passionate [7] passionate,sue [7] sue,johnson [7] johnson,donated [7] donated,nearly [7] nearly,150 Top Word Pairs in Tweet in G10:
[12] donating,blood [11] #nationalblooddonormonth,#nybloodcenter [6] someone,needs [6] needs,blood [6] blood,seconds [6] seconds,many [6] many,consider [6] consider,donating [6] blood,civic [6] civic,duty Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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 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: