The graph represents a network of 5,186 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, 13 August 2021 at 23:01 UTC.
The requested start date was Friday, 13 August 2021 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, 2-hour, 9-minute period from Tuesday, 03 August 2021 at 21:50 UTC to Friday, 13 August 2021 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 : 5186
Unique Edges : 3248
Edges With Duplicates : 8527
Total Edges : 11775
Number of Edge Types : 5
Tweet : 4031
Retweet : 2651
MentionsInRetweet : 3259
Mentions : 1713
Replies to : 121
Self-Loops : 4199
Reciprocated Vertex Pair Ratio : 0.0375921375921376
Reciprocated Edge Ratio : 0.072460336253848
Connected Components : 1880
Single-Vertex Connected Components : 1111
Maximum Vertices in a Connected Component : 1235
Maximum Edges in a Connected Component : 4428
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.739838
Graph Density : 0.000157050675340218
Modularity : 0.415919
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 5,186 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, 13 August 2021 at 23:01 UTC.
The requested start date was Friday, 13 August 2021 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, 2-hour, 9-minute period from Tuesday, 03 August 2021 at 21:50 UTC to Friday, 13 August 2021 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:
[425] #charity,#nonprofit [233] learn,more [194] #nonprofit,#charity [185] #nonprofit,#fundraising [159] #nonprofit,#orthodox [145] #nonprofit,#donate [124] non,profit [96] link,bio [95] need,help [90] #nonprofit,#community Top Word Pairs in Tweet in G1:
[225] #charity,#nonprofit [159] #nonprofit,#orthodox [93] learn,more [60] link,bio [48] #nonprofit,#charity [48] #philanthropy,#nonprofit [46] non,profit [45] along,way [45] copy,today [44] buy,copy Top Word Pairs in Tweet in G2:
[109] #charity,#nonprofit [74] #nonprofit,#donate [44] #ngo,#charity [42] first,nations [38] #donate,#love [36] #fundraising,#support [36] urgent,help [36] help,needed [36] needed,several [36] several,communities Top Word Pairs in Tweet in G3:
[27] #nonprofit,#fundraising [19] #fundraising,#charity [16] #hiring,looking [16] #nonprofit,#charity [15] #charity,#fundraising [15] #fundraising,#philanthropy [15] #philanthropy,#donors [15] #donors,#directmail [15] #directmail,#copywriting [14] looking,savvy Top Word Pairs in Tweet in G4:
[56] globalowls,raultiru [44] #nonprofit,#socent [43] sevax,app [39] #communities,#nonprofits [28] #startup,#startups [26] #salesforce,#dreamforce [26] #dreamforce,#startup [26] #startups,#ai [26] #ai,#socialmedia [26] #socialmedia,#futureofwork Top Word Pairs in Tweet in G5:
[10] please,vote [10] vote,#nonprofit [10] #nonprofit,digital [10] digital,impact [10] impact,session [10] session,poll [10] poll,very [10] very,cameronlj [10] cameronlj,gabriel [10] gabriel,brown Top Word Pairs in Tweet in G6:
[2] bullyingalberta,acevo [2] acevo,drumeshprabhu [2] drumeshprabhu,mingberg [2] mingberg,judithcarmody1 [2] judithcarmody1,nicochan33 [2] nicochan33,writer_mikem [2] writer_mikem,annetteharpell [2] annetteharpell,workenlightened [2] do_kinder,minionpostdoc [2] minionpostdoc,kkgonza Top Word Pairs in Tweet in G7:
[23] hello,need [23] need,help [23] help,crowdfunding [23] crowdfunding,project [23] project,really [23] really,important [23] important,little [23] little,time [21] #transformativestrategies,#nonprofit [19] time,please Top Word Pairs in Tweet in G8:
[5] shared,care [5] care,mental [5] mental,health [5] health,team [5] team,actively [5] actively,engaged [5] engaged,supporting [5] supporting,vulnerable [5] vulnerable,members [5] members,community Top Word Pairs in Tweet in G9:
[56] using,aws [56] aws,solutions [56] solutions,#nonprofit [56] #nonprofit,wadhwaniai [56] wadhwaniai,scale [56] scale,securely [56] securely,process [56] process,sensitive [56] sensitive,indian [56] indian,government Top Word Pairs in Tweet in G10:
[44] excited,announced [44] announced,we've [44] we've,added [44] added,support [44] support,five [44] five,#cryptocurrencies [44] #cryptocurrencies,donate [42] thegivingblock,excited [37] donate,#nonpr [5] donate,#nonprâ 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 G6:
Top Replied-To in G7:
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:
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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: