The graph represents a network of 3,373 Twitter users whose recent tweets contained "#nonprofit", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 23:32 UTC.
The tweets in the network were tweeted over the 3048-day, 9-hour, 34-minute period from Monday, 03 November 2014 at 15:24 UTC to Friday, 10 March 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3373
Unique Edges : 2066
Edges With Duplicates : 5696
Total Edges : 7762
Number of Edge Types : 9
Tweet : 2912
MentionsInReplyTo : 101
Retweet : 1485
MentionsInRetweet : 1805
Replies to : 292
Mentions : 1015
Quote : 82
MentionsInQuote : 68
MentionsInQuoteReply : 2
Self-Loops : 3446
Reciprocated Vertex Pair Ratio : 0.0430994956441999
Reciprocated Edge Ratio : 0.0826373626373626
Connected Components : 1528
Single-Vertex Connected Components : 957
Maximum Vertices in a Connected Component : 466
Maximum Edges in a Connected Component : 2120
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.141873
Graph Density : 0.000200021874919771
Modularity : 0.371297
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,373 Twitter users whose recent tweets contained "#nonprofit", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 23:32 UTC.
The tweets in the network were tweeted over the 3048-day, 9-hour, 34-minute period from Monday, 03 November 2014 at 15:24 UTC to Friday, 10 March 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : #nonprofit
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:
[271] #b2b,#socialmedia [269] #rt,#writerslift [268] #socialmedia,#business [267] #organization,#support [266] #business,#news [266] #support,#gofundme [265] #news,#newsupdate [265] #writerslift,#nonprofit [264] #gofundme,#rt [263] #newsupdate,#organization Top Word Pairs in Tweet in G1:
[161] #nonprofit,please [161] #hongkong,#nonprofit [96] learn,more [72] #charity,#nonprofit [54] non,profit [49] #philanthropy,#nonprofit [47] #lavoro,#nonprofit [47] link,bio [47] nuova,posizione [44] job,opening Top Word Pairs in Tweet in G2:
[268] #b2b,#socialmedia [266] #rt,#writerslift [265] #socialmedia,#business [263] #support,#gofundme [263] #organization,#support [263] #business,#news [262] #news,#newsupdate [262] #writerslift,#nonprofit [261] #gofundme,#rt [260] #newsupdate,#organization Top Word Pairs in Tweet in G3:
[7] families,first [6] earned,2023 [5] #nonprofit,#npo [4] social,work [4] #helpingothers,#nonprofit [4] first,wish [4] learn,more [4] #innovef,#helpingothers [3] welcoming,questions [3] questions,thekilloegroup Top Word Pairs in Tweet in G4:
[22] #nonprofit,sector [13] recognize,thank [13] working,alberta [13] fact,sector [13] sector,fact [13] alberta,#nonprofit [13] women,working [13] thank,women [13] #iwd2023,recognize [13] today,#iwd2023 Top Word Pairs in Tweet in G5:
[82] full,time [65] united,states [61] states,america [52] america,full [48] time,dept [29] #nonprofit,#ecology [29] #ecology,#jobs [29] #sdg15,#nonprofit [20] level,dept [16] #nonprofit,#climate Top Word Pairs in Tweet in G6:
[7] report,released [7] digital,resilience [7] strategy,developed [7] proposes,strategy [7] resilience,proposes [7] released,canadian [7] canadian,centre [7] nonprofit,digital [7] free,#webinar [7] centre,nonprofit Top Word Pairs in Tweet in G7:
[12] money,benefit [12] volunteers,make [12] time,great [12] join,team [12] raise,money [12] friends,donate [12] donate,time [12] team,volunteers [12] shelter,animals [12] great,cause Top Word Pairs in Tweet in G8:
[19] blockchain,account [19] willing,help [19] account,hello [19] everyone,willing [19] first,tweet [19] hello,everyone [19] kct,blockchain [19] people,experiencing [19] help,people [19] tweet,kct Top Word Pairs in Tweet in G9:
[17] fastest,growing [17] universities,focus [17] #adulted,#nontraditional [17] two,fastest [17] interesting,note [17] focus,#adulted [17] note,two [17] #nonprofit,universities [17] growing,#nonprofit [16] jeffdavidsonesq,interesting Top Word Pairs in Tweet in G10:
[29] #nonprofit,#amazonwishlist [15] #sheep,#sheep365 [15] #sheep365,#sheep [15] #animalsanctuary,#sheep [13] #amazonwishlist,#animallovers [11] #sheep365,#nonprofit [10] need,make [10] foundation,#animalsanctuary [10] make,lessons [10] blue,#animalsanctuary Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
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: