The graph represents a network of 5,162 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, 09 October 2020 at 23:02 UTC.
The requested start date was Friday, 09 October 2020 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 8-day, 2-hour, 49-minute period from Wednesday, 30 September 2020 at 21:10 UTC to Friday, 09 October 2020 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 : 5162
Unique Edges : 3204
Edges With Duplicates : 8620
Total Edges : 11824
Number of Edge Types : 5
Mentions : 1595
Tweet : 3874
Retweet : 2787
MentionsInRetweet : 3439
Replies to : 129
Self-Loops : 4083
Reciprocated Vertex Pair Ratio : 0.0452623725441432
Reciprocated Edge Ratio : 0.0866048060908875
Connected Components : 1957
Single-Vertex Connected Components : 1086
Maximum Vertices in a Connected Component : 934
Maximum Edges in a Connected Component : 3574
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.025474
Graph Density : 0.000157763862593869
Modularity : 0.413112
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,162 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, 09 October 2020 at 23:02 UTC.
The requested start date was Friday, 09 October 2020 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 8-day, 2-hour, 49-minute period from Wednesday, 30 September 2020 at 21:10 UTC to Friday, 09 October 2020 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:
[242] #nonprofit,#csr [214] #charity,#nonprofit [178] #nonprofit,#charity [169] learn,more [163] #nonprofits,#nonprofit [141] non,profit [140] #community,#education [137] #education,#sustainability [137] #volunteering,#communities [137] #yanggang,#ubi Top Word Pairs in Tweet in G1:
[78] link,bio [64] #charity,#nonprofit [54] click,link [44] #nonprofit,#fundraising [42] non,profit [41] learn,more [39] #nonprofit,#disability [37] #nonprofit,#charity [37] support,worker [27] #nonprofit,#nonprofitorganization Top Word Pairs in Tweet in G2:
[242] #nonprofit,#csr [149] #nonprofits,#nonprofit [137] #community,#education [137] #education,#sustainability [137] #volunteering,#communities [137] #yanggang,#ubi [136] #sustainability,#nonprofits [136] #csr,#volunteering [136] #communities,#yanggang [122] #ubi,#futureofwork Top Word Pairs in Tweet in G3:
[31] #nonprofit,#fundraising [27] #grantwriting,#nonprofit [21] year,end [13] take,look [12] end,fundraising [12] #nonprofit,#charity [11] #fundraising,#philanthropy [11] #nonprofit,#grantwriting [11] #nonprofit,board [11] fundraiserbeth,#joyofgratitude Top Word Pairs in Tweet in G4:
[36] brought,msftnonprofits [23] msftnonprofits,learn [16] nonprofit,technology [16] #nonprofit,team [14] technology,summit [13] badcamp,nonprofit [12] join,badcamp [11] summit,oct [11] oct,14th [10] watch,video Top Word Pairs in Tweet in G5:
[19] helping,individuals [19] individuals,000 [19] 000,each [19] each,pay [19] pay,bills [19] bills,debts [19] debts,mobile [19] mobile,deposits [18] #charity,#nonprofit [18] williamscooperr,helping Top Word Pairs in Tweet in G6:
[120] rare,genetic [120] genetic,aortic [120] aortic,disorder [120] disorder,lost [120] lost,father [120] father,uncle [120] uncle,recently [119] recently,aortic [106] aortic,dissections [94] dissections,genetic Top Word Pairs in Tweet in G7:
[10] #nonprofit,leaders [8] #nonprofit,sector [7] 1st,link [6] come,work [6] work,philanthropy_ma [6] philanthropy_ma,supporting [6] supporting,engaging [6] engaging,#nonprofit [5] #nonprofit,community [5] moment,critical Top Word Pairs in Tweet in G8:
[7] #nonprofit,#charity [5] thanks,#salesforce [5] #salesforce,solutions [5] solutions,custom [5] custom,built [5] built,acts [5] acts,unique [5] unique,needs [5] needs,during [5] during,pandemic Top Word Pairs in Tweet in G9:
[14] #nonprofit,#philanthropy [13] #nonprofit,employees [12] more,million [12] million,#nonprofit [11] without,deal [11] deal,thousands [11] thousands,#nonprofit [11] employees,go [11] go,helping [11] helping,others Top Word Pairs in Tweet in G10:
[11] #nonprofit,#donate [10] meettheocean,#podcast [10] #fromanewperspective,#fanp [10] #fanp,#newperspective [10] #newperspective,#countdown [10] #countdown,#nonprofit [10] #nonprofit,#nonprofitorganization [10] #nonprofitorganization,#organization [10] #organization,#assistance [9] #science,#story Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: