The graph represents a network of 3,347 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 23:31 UTC.
The tweets in the network were tweeted over the 2077-day, 18-hour, 13-minute period from Saturday, 06 May 2017 at 06:43 UTC to Friday, 13 January 2023 at 00:57 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 : 3347
Unique Edges : 1940
Edges With Duplicates : 5944
Total Edges : 7884
Number of Edge Types : 9
Tweet : 2949
Mentions : 970
Retweet : 1508
MentionsInRetweet : 1809
Replies to : 243
MentionsInQuote : 62
Quote : 92
MentionsInReplyTo : 248
MentionsInQuoteReply : 3
Self-Loops : 3404
Reciprocated Vertex Pair Ratio : 0.0367678495083369
Reciprocated Edge Ratio : 0.0709278350515464
Connected Components : 1354
Single-Vertex Connected Components : 827
Maximum Vertices in a Connected Component : 665
Maximum Edges in a Connected Component : 2808
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.981864
Graph Density : 0.00021653599203219
Modularity : 0.37707
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,347 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 1/12/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 13 January 2023 at 23:31 UTC.
The tweets in the network were tweeted over the 2077-day, 18-hour, 13-minute period from Saturday, 06 May 2017 at 06:43 UTC to Friday, 13 January 2023 at 00:57 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:
[468] help,#twittermarketing [461] #retweet,#nonprofit [460] #rt,#retweet [459] #support,#businesses [459] #socialmedia,#business [458] #fundraiser,#digitalmarketing [458] #b2b,#socialmedia [458] #digitalmarketing,#support [457] #tweet,#fundraiser [457] #business,#tweet Top Word Pairs in Tweet in G1:
[88] #charity,#nonprofit [81] learn,more [78] #nonprofit,please [78] #hongkong,#nonprofit [58] #philanthropy,#nonprofit [52] #foundations,#philanthropy [52] job,opening [52] #nonprofitjobs,#foundations [47] non,profit [34] #nonprofit,#donate Top Word Pairs in Tweet in G2:
[76] #nonprofit,#fundraising [49] #fundraising,#nonprofit [21] planned,giving [19] learn,more [19] follow,steps [19] #nonprofit,#charity [18] fundraising,today [18] non_profit_pro,fundraising [18] challenging,follow [18] mobile,devices Top Word Pairs in Tweet in G3:
[3] efficiency,#socialimpact [3] enhancing,effectiveness [3] few,many [3] effectiveness,efficiency [3] many,ways [3] ways,enhancing [3] #socialimpact,india [3] india,data [2] crimestoppuget,lawenforcetoday [2] newyorkfbi,fbialbany Top Word Pairs in Tweet in G4:
[71] kasese,education [71] disadvantaged,young [71] school,campaign [71] empower,disadvantaged [71] together,empower [71] back,school [71] young,people [71] join,kasese [71] kasese,back [71] campaign,together Top Word Pairs in Tweet in G5:
[26] #salesforce,#dreamforce [25] #ces2023,#ces [25] #ces,#salesforce [24] #nonprofit,#socent [22] #dreamforce,#shrm [22] #csr,#hr [19] #corpgov,#csr [19] #hrtech,#corpgov [18] #shrm,#hrtech [17] #finserv,#cx Top Word Pairs in Tweet in G6:
[82] full,time [57] united,states [54] states,america [49] america,full [37] time,dept [26] #nonprofit,#disability [21] support,worker [20] living,toronto [20] community,living [18] #nonprofit,#community Top Word Pairs in Tweet in G7:
[468] help,#twittermarketing [457] #retweet,#nonprofit [456] #rt,#retweet [455] #fundraiser,#digitalmarketing [455] #support,#businesses [455] #socialmedia,#business [454] #b2b,#socialmedia [454] #businesses,#rt [454] #digitalmarketing,#support [454] #business,#tweet Top Word Pairs in Tweet in G8:
[39] #veterans,#legacy [39] #health,#alliance [39] #legacy,#health [38] work,#hardest [38] come,work [38] nonprofit,sector [38] #250mnart2auctionoff,tour [38] #hardest,family [38] #alliance,come [38] #back,#to Top Word Pairs in Tweet in G9:
[10] staff,position [10] lead,help [10] highedweb,assistant [10] help,implement [10] position,highedweb [10] add,staff [10] assistant,executive [10] excited,add [10] director,lead [10] executive,director Top Word Pairs in Tweet in G10:
[28] fastest,growing [28] universities,focus [28] #adulted,#nontraditional [28] two,fastest [28] interesting,note [28] focus,#adulted [28] note,two [28] #nonprofit,universities [28] growing,#nonprofit [27] jeffdavidsonesq,interesting Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G8:
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: