The graph represents a network of 268 Twitter users whose recent tweets contained "nonprofitorgs", 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 Wednesday, 24 March 2021 at 16:40 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 58-minute period from Tuesday, 16 March 2021 at 16:17 UTC to Wednesday, 24 March 2021 at 14:15 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 : 282
Unique Edges : 700
Edges With Duplicates : 330
Total Edges : 1030
Number of Edge Types : 5
Replies to : 35
Mentions : 309
Retweet : 123
MentionsInRetweet : 524
Tweet : 39
Self-Loops : 53
Reciprocated Vertex Pair Ratio : 0.0349740932642487
Reciprocated Edge Ratio : 0.0675844806007509
Connected Components : 7
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 275
Maximum Edges in a Connected Component : 1021
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.885871
Graph Density : 0.0100830367734282
Modularity : 0.53433
NodeXL Version : 1.0.1.444
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=251158
Data Import : The graph represents a network of 268 Twitter users whose recent tweets contained "nonprofitorgs", 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 Wednesday, 24 March 2021 at 16:40 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 58-minute period from Tuesday, 16 March 2021 at 16:17 UTC to Wednesday, 24 March 2021 at 14:15 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 : nonprofitorgs
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:
[24] digital,marketing [24] social,media [19] marketing,fundraising [18] key,lessons [16] undpkuwait,globalgoalsun [16] adamrogers2030,sdg2030 [16] sdg2030,sdgsactivists [16] sdgsactivists,sdgscampaign [16] sdgscampaign,hidekoundp [15] open,data Top Word Pairs in Tweet in G1:
[22] digital,marketing [21] social,media [18] key,lessons [17] marketing,fundraising [15] open,data [15] lessons,learned [14] nonprofit,tech [14] virtual,fundraising [13] data,project [13] fundraising,events Top Word Pairs in Tweet in G2:
[14] undpkuwait,globalgoalsun [14] adamrogers2030,sdg2030 [14] sdg2030,sdgsactivists [14] sdgsactivists,sdgscampaign [14] sdgscampaign,hidekoundp [13] shahwank,undpkuwait [13] globalgoalsun,adamrogers2030 [13] hidekoundp,#stopyourcar [13] #stopyourcar,join [13] join,shahwank Top Word Pairs in Tweet in G3:
[3] sos,#17mar [3] #17mar,jyotiyadaav [3] jyotiyadaav,mubarak_1106 [3] mubarak_1106,naukarshah [3] naukarshah,mynameswatik [3] mynameswatik,puneetvuneet [3] puneetvuneet,nonprofitorgs [3] nonprofitorgs,nonprofitorgs [3] nonprofitorgs,greatnonprofits [3] greatnonprofits,saileenas Top Word Pairs in Tweet in G4:
[5] म,स [5] स,क [5] गर,ब [5] ब,क [4] क,ल [4] ल,ए [4] सह,यत [4] क,स [3] dear,twitterindia [3] twitterindia,submit Top Word Pairs in Tweet in G5:
[4] anandmahindra,jamesfrith [4] jamesfrith,lettoysbetoys [4] lettoysbetoys,berniehollywood [4] berniehollywood,legofoundation [4] legofoundation,drchethansathya [4] drchethansathya,pattyarquette [4] pattyarquette,glennkirschner2 [4] glennkirschner2,ziauddiny [3] withdaughters,anandmahindra [3] ziauddiny,encouraging Top Word Pairs in Tweet in G6:
[2] go,top [2] top,thread [2] thread,nydisabilityadv [2] nydisabilityadv,thearcny [2] thearcny,the_arcolc [2] the_arcolc,arcnewstoday [2] arcnewstoday,archerkimer [2] archerkimer,arcofmcny [2] arcofmcny,schuylercommons [2] schuylercommons,ywcausa Top Word Pairs in Tweet in G7:
[5] nonprofitorgs,craignewmark [4] techsoup,nonprofitorgs [4] craignewmark,visit [4] visit,website [4] website,link [4] link,bio [4] bio,learn [4] learn,more [4] more,information [3] nptech,nodexl Top Word Pairs in Tweet in G8:
[2] thatshandi,maslowforpeople 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 G5:
Top Replied-To in G7:
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:
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Top Tweeters in G9:
Top Tweeters in G10: