The graph represents a network of 5,300 Twitter users whose tweets in the requested range contained "#nonprofit", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 22 April 2022 at 23:02 UTC.
The requested start date was Friday, 22 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 9-day, 4-hour, 37-minute period from Tuesday, 12 April 2022 at 19:22 UTC to Friday, 22 April 2022 at 00:00 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 : 5300
Unique Edges : 3339
Edges With Duplicates : 8196
Total Edges : 11535
Number of Edge Types : 5
Tweet : 4169
Mentions : 1724
Retweet : 2336
MentionsInRetweet : 2985
Replies to : 321
Self-Loops : 4261
Reciprocated Vertex Pair Ratio : 0.0439588043205225
Reciprocated Edge Ratio : 0.0842155919153032
Connected Components : 2009
Single-Vertex Connected Components : 1161
Maximum Vertices in a Connected Component : 970
Maximum Edges in a Connected Component : 3282
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.666655
Graph Density : 0.000147980929117989
Modularity : 0.420858
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,300 Twitter users whose tweets in the requested range contained "#nonprofit", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 22 April 2022 at 23:02 UTC.
The requested start date was Friday, 22 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 9-day, 4-hour, 37-minute period from Tuesday, 12 April 2022 at 19:22 UTC to Friday, 22 April 2022 at 00:00 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 : GraphServerTwitterSearch
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:
[452] #charity,#nonprofit [308] #nonprofit,#community [270] #community,#fundraising [264] #donate,#charity [262] learn,more [259] poor,people [255] people,living [252] donation,required [252] required,poor [252] living,collecting Top Word Pairs in Tweet in G1:
[115] #charity,#nonprofit [109] learn,more [84] social,media [74] starting,soon [73] dm,logos [73] logos,headers [73] headers,overlay [73] overlay,social [73] media,banners [73] banners,youtube Top Word Pairs in Tweet in G2:
[275] #charity,#nonprofit [256] poor,people [252] donation,required [252] required,poor [252] people,living [252] living,collecting [252] collecting,donations [251] donations,over [249] #community,#fundraising [249] over,world Top Word Pairs in Tweet in G3:
[27] #nonprofit,#charity [25] #nonprofit,#fundraising [22] #charity,#fundraising [21] #fundraising,#philanthropy [21] 1st,link [20] #nonprofit,#npcomms [20] #philanthropy,#donors [20] #donors,#directmail [19] #npcomms,#communications [19] #directmail,#copywriting Top Word Pairs in Tweet in G4:
[7] social,media [7] buctown,strong [7] nut,tastic [7] tastic,recipe [7] recipe,ideas [7] ideas,both [7] both,sweet [7] sweet,savoury [7] savoury,wanted [7] wanted,celebration Top Word Pairs in Tweet in G5:
[87] #nonprofits,#nonprofit [86] #shrm,#nonprofits [84] #corpgov,#socialgood [84] #socialgood,#shrm [54] #esg,#corpgov [50] #csr,#esg [48] #communities,#nonprofits [46] #nonprofit,#socent [43] fwdhumanity,sevaxapp [41] martinhoyes,#csr Top Word Pairs in Tweet in G6:
[63] happy,easter [63] easter,juda [63] juda,patiently [63] patiently,waiting [63] waiting,forever [63] forever,home [63] home,#bullybreed [63] #bullybreed,#battleforthebully [63] #battleforthebully,#pitbulladvocate [62] for_bullies,happy Top Word Pairs in Tweet in G7:
[15] thank,#civilairpatrol [15] #civilairpatrol,volunteers [15] volunteers,#nationalvolunteermonth [15] #nationalvolunteermonth,#nationalvolunteerweek [15] #nationalvolunteerweek,#volunteer [14] civilairpatrol,thank [12] #volunteer,#volunte [3] #volunteer,#volunteers [3] #volunteers,#nonprofit [3] #nonprofit,#charity Top Word Pairs in Tweet in G8:
[12] breast,cancer [9] #animalsanctuary,#sheep365 [8] rip,kelly [8] kelly,14 [8] 14,2011 [8] 2011,20 [8] 20,2022 [8] 2022,kelly [8] kelly,untreatable [8] untreatable,thyroid Top Word Pairs in Tweet in G9:
[4] waynedjc,markgibson777 [4] markgibson777,djcakazhombi [4] djcakazhombi,dvox83 [4] dvox83,dylabs [4] dylabs,007dufour007 [4] 007dufour007,comporta [4] comporta,dr_motte [4] dr_motte,smsmvic [4] smsmvic,engineeermusic [3] ravetheplanet,waynedjc Top Word Pairs in Tweet in G10:
[20] based,#nonprofit [14] ga,based [14] #nonprofit,witgeorgia [14] witgeorgia,started [14] started,30 [14] 30,years [14] years,ago [14] ago,mission [14] mission,supporting [14] supporting,#womenintech Top Replied-To in Entire Graph:
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 G9:
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: