The graph represents a network of 5,111 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, 02 October 2020 at 23:01 UTC.
The requested start date was Friday, 02 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 7-day, 17-hour, 56-minute period from Thursday, 24 September 2020 at 06:04 UTC to Friday, 02 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 : 5111
Unique Edges : 3225
Edges With Duplicates : 8572
Total Edges : 11797
Number of Edge Types : 5
Tweet : 3939
Replies to : 178
Mentions : 1509
Retweet : 2749
MentionsInRetweet : 3422
Self-Loops : 4142
Reciprocated Vertex Pair Ratio : 0.0395266868076536
Reciprocated Edge Ratio : 0.0760474691208525
Connected Components : 1941
Single-Vertex Connected Components : 1126
Maximum Vertices in a Connected Component : 966
Maximum Edges in a Connected Component : 3798
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 9.03114
Graph Density : 0.000158094987940902
Modularity : 0.41016
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 5,111 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, 02 October 2020 at 23:01 UTC.
The requested start date was Friday, 02 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 7-day, 17-hour, 56-minute period from Thursday, 24 September 2020 at 06:04 UTC to Friday, 02 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:
[352] #nonprofit,#csr [293] #nonprofits,#nonprofit [214] #education,#sustainability [210] #yanggang,#ubi [208] #volunteering,#communities [207] #community,#education [202] #sustainability,#nonprofits [202] #csr,#volunteering [202] #communities,#yanggang [189] #ubi,#futureofwork Top Word Pairs in Tweet in G1:
[57] link,bio [53] #charity,#nonprofit [46] non,profit [44] #nonprofit,#fundraising [40] click,link [40] support,worker [29] #nonprofit,#disability [27] learn,more [25] see,latest [23] #nonprofit,organization Top Word Pairs in Tweet in G2:
[23] #nonprofit,#fundraising [15] #nonprofit,#charity [14] #fundraising,#nonprofit [12] today's,#nonprofit [12] #nonprofit,board [11] year,end [11] social,media [10] board,members [10] best,practices [9] #charity,#fundraising Top Word Pairs in Tweet in G3:
[23] #charity,#nonprofit [15] #nonprofit,#donate [14] make,difference [12] donation,small [12] small,things [12] things,great [12] great,love [12] love,make [12] difference,one [12] one,gift Top Word Pairs in Tweet in G4:
[131] nonprofit,corporation [131] corporation,hartwig [131] hartwig,foundation [131] foundation,free [131] free,speech [116] official,nonprofit [116] speech,well [116] well,501c3 [115] realryanhartwig,official [115] 501c3,sponsor Top Word Pairs in Tweet in G5:
[152] genetic,aortic [152] aortic,disorder [152] disorder,lost [152] lost,father [152] father,uncle [151] uncle,recently [150] rare,genetic [145] recently,aortic [140] aortic,dissections [119] dissections,genetic Top Word Pairs in Tweet in G6:
[22] brought,msftnonprofits [18] msftnonprofits,learn [14] empower,secops [14] secops,team [14] team,see [14] see,security [14] security,threats [14] threats,clearer [14] clearer,eliminate [14] eliminate,distractions Top Word Pairs in Tweet in G7:
[8] know,great [8] great,#nonprofit [6] #nonprofit,#fundraising [6] #fundraising,#philanthropy [6] #bbcon,sessions [6] sessions,caught [6] caught,eye [6] eye,top [6] top,10 [6] 10,sessions Top Word Pairs in Tweet in G8:
[27] #nonprofit,#socent [14] #nonprofit,#ngo [11] non,profit [11] latest,#nonprofit [11] #nonprofit,report [10] report,thanks [9] find,microsoft [9] microsoft,#dynamics365 [9] #dynamics365,crm [9] crm,benefit Top Word Pairs in Tweet in G9:
[23] calling,#nonprofit [23] #nonprofit,#smallbusinesses [23] #smallbusinesses,take [23] take,closer [23] closer,look [23] look,#website [23] #website,satisfied [22] cbcoders20,calling [10] aamir,khan [10] khan,gives Top Word Pairs in Tweet in G10:
[12] know,numfocus [12] numfocus,shop [12] shop,shirts [12] shirts,hoodies [12] hoodies,mugs [12] mugs,more [12] more,swag [12] swag,proceeds [12] proceeds,go [11] न,क 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 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:
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: