The graph represents a network of 3,439 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 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 23:32 UTC.
The tweets in the network were tweeted over the 1802-day, 8-hour, 43-minute period from Monday, 12 March 2018 at 16:15 UTC to Friday, 17 February 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 : 3439
Unique Edges : 2037
Edges With Duplicates : 6058
Total Edges : 8095
Number of Edge Types : 8
Tweet : 2462
Mentions : 1077
Retweet : 1667
MentionsInRetweet : 2090
Replies to : 213
MentionsInReplyTo : 171
Quote : 350
MentionsInQuote : 65
Self-Loops : 3241
Reciprocated Vertex Pair Ratio : 0.0365461847389558
Reciprocated Edge Ratio : 0.07051530414568
Connected Components : 1382
Single-Vertex Connected Components : 883
Maximum Vertices in a Connected Component : 707
Maximum Edges in a Connected Component : 2973
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.983192
Graph Density : 0.000218298100307512
Modularity : 0.384176
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,439 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 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 23:32 UTC.
The tweets in the network were tweeted over the 1802-day, 8-hour, 43-minute period from Monday, 12 March 2018 at 16:15 UTC to Friday, 17 February 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:
[318] #business,#news [317] #news,#newsupdate [316] #support,#gofundme [316] #socialmedia,#business [314] #newsupdate,#organization [314] #organization,#support [314] #rt,#writerslift [312] #gofundme,#rt [312] #b2b,#socialmedia [308] #writerslift,#nonprofit Top Word Pairs in Tweet in G1:
[116] #nonprofit,please [116] #hongkong,#nonprofit [72] #charity,#nonprofit [69] learn,more [56] valentine's,day [49] #lavoro,#nonprofit [49] nuova,posizione [48] #philanthropy,#nonprofit [44] #foundations,#philanthropy [44] job,opening Top Word Pairs in Tweet in G2:
[105] #nonprofit,#fundraising [43] #fundraising,#nonprofit [34] #nonprofit,#charity [23] #support,#nonprofit [23] #fundraising,#giveback [22] #donation,#gooddeed [22] #giveback,#volunteer [22] details,#donation [22] visit,details [22] #charity,#support Top Word Pairs in Tweet in G3:
[188] reach,goal [188] help,reach [152] please,consider [105] consider,donating [103] better,world [103] build,better [103] village,build [103] anyone,reading [103] takes,village [103] reading,help Top Word Pairs in Tweet in G4:
[60] fastest,growing [60] universities,focus [60] #adulted,#nontraditional [60] two,fastest [60] interesting,note [60] focus,#adulted [60] note,two [60] #nonprofit,universities [60] growing,#nonprofit [59] jeffdavidsonesq,interesting Top Word Pairs in Tweet in G5:
[38] #support,#nonprofit [37] #fees,#support [36] #charity,#nonprofit [35] #love,#fundraising [35] #donation,#charity [34] #charity,#love [33] #education,#fees [33] #support,#ketto [32] #children,#education [32] #donate,#children Top Word Pairs in Tweet in G6:
[2] commons,kingcountywa [2] bankofamerica,americanexpress [2] usanickbrown,askliberty [2] fbiseattle,adrianzdiaz [2] fbisandiego,fbiwfo [2] roseannrabiolam,richardmbowen [2] kingcosheriff,kingcountywa [2] davidrosefox13,crimestoppuget [2] #nonprofit,sector [2] sheriffjohnu,cmsaranelson Top Word Pairs in Tweet in G7:
[47] significance,annandam [47] heartwarming,video [47] explains,significance [47] video,sadhgurujv [47] sacred,offering [47] sadhgurujv,explains [47] annandam,sacred [46] ishausa,heartwarming Top Word Pairs in Tweet in G8:
[121] full,time [98] united,states [96] states,america [90] america,full [54] #nonprofit,#climate [54] #sdg13,#nonprofit [54] #climate,#jobs [43] time,dept [33] climate,corps [33] climatecorpssei,hiring Top Word Pairs in Tweet in G9:
[6] help,#nonprofit [5] learn,public [5] learn,more [5] public,#data [4] google,tech_impact [4] #npdata,#data4good [4] social,media [4] stories,work [4] #nonprofit,tell [4] tell,stories Top Word Pairs in Tweet in G10:
[3] funding,organizations [3] available,near [3] webinar,smart [3] near,term [3] nonprofits,nxunite [3] based,nonprofit [3] spending,financial [3] management,nonprofits [3] grants,available [3] organizations,grants Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
Top Replied-To in G6:
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: