The graph represents a network of 5,234 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 Monday, 22 February 2021 at 00:06 UTC.
The requested start date was Friday, 19 February 2021 at 01:01 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, 6-hour, 58-minute period from Thursday, 11 February 2021 at 18:02 UTC to Friday, 19 February 2021 at 01:00 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 : 5234
Unique Edges : 3429
Edges With Duplicates : 8974
Total Edges : 12403
Number of Edge Types : 5
Tweet : 3760
Retweet : 2917
MentionsInRetweet : 3796
Mentions : 1564
Replies to : 366
Self-Loops : 4024
Reciprocated Vertex Pair Ratio : 0.034655722754218
Reciprocated Edge Ratio : 0.0669898633759365
Connected Components : 1817
Single-Vertex Connected Components : 1126
Maximum Vertices in a Connected Component : 1616
Maximum Edges in a Connected Component : 5581
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.781594
Graph Density : 0.000165683796891381
Modularity : 0.417205
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 5,234 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 Monday, 22 February 2021 at 00:06 UTC.
The requested start date was Friday, 19 February 2021 at 01:01 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, 6-hour, 58-minute period from Thursday, 11 February 2021 at 18:02 UTC to Friday, 19 February 2021 at 01:00 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:
[351] lost,father [351] father,uncle [350] uncle,recently [349] recently,aortic [343] aortic,dissections [335] dissections,genetic [327] genetic,testing [308] testing,found [286] found,rare [265] rare,smad3 Top Word Pairs in Tweet in G1:
[49] non,profit [41] learn,more [38] valentine's,day [36] #charity,#nonprofit [36] link,bio [27] support,worker [26] #nonprofit,#fundraising [26] click,link [25] happy,valentine's [23] #nonprofit,#disability Top Word Pairs in Tweet in G2:
[351] lost,father [351] father,uncle [350] uncle,recently [349] recently,aortic [343] aortic,dissections [335] dissections,genetic [327] genetic,testing [308] testing,found [286] found,rare [265] rare,smad3 Top Word Pairs in Tweet in G3:
[165] #nonprofit,#nonprofits [100] #volunteer,#nonprofit [92] #nonprofits,#ubi [90] #covid19,#volunteer [86] #nonprofit,#sdgs [71] #volunteer,#community [70] #sdgs,#csr [66] #csr,#socialimpact [63] #socialimpact,#sdgs [60] #yanggang,#ubi Top Word Pairs in Tweet in G4:
[17] #nonprofit,#fundraising [12] #nonprofit,#charity [11] #nonprofit,#npcomms [10] #charity,#fundraising [10] #fundraising,#philanthropy [9] link,below [9] take,look [8] #nonprofit,#socent [8] #nonprofit,adversaries [8] adversaries,allies Top Word Pairs in Tweet in G5:
[26] brought,msftnonprofits [10] #nonprofit,teams [9] msftnonprofits,learn [9] #nonprofit,mission [9] support,mission [9] mission,tigger [9] tigger,house [9] house,foundation [9] foundation,making [9] making,donation Top Word Pairs in Tweet in G6:
[33] #students,halfway [33] halfway,#goal [33] #goal,life [32] life,sized [29] sized,model [23] #anatomy,#students [17] future,#healthcare [13] model,#help [12] life,size [11] students,really Top Word Pairs in Tweet in G7:
[25] #donate,#nonprofit [23] #charity,#donate [22] #nonprofit,#donate [22] #support,#help [19] #community,#support [16] #nonprofit,#community [16] #help,#donation [15] #causes,#donate [15] #fundraiser,#charity [14] #donate,#change Top Word Pairs in Tweet in G8:
[31] looking,pydata [31] pydata,branded [31] branded,swag [31] swag,shirts [31] shirts,hoodies [31] hoodies,mugs [31] mugs,more [31] more,numfocus [31] numfocus,shop [28] shop,proceeds Top Word Pairs in Tweet in G9:
[46] globalowls,raultiru [20] #sdgs,#nonprofit [18] climate,change [18] #nonprofit,#smallbusiness [13] #charity,#ngos [13] 100,solutions [13] solutions,climate [13] change,ranked [13] ranked,globalowls [13] globalowls,projectdrawdown Top Word Pairs in Tweet in G10:
[63] institute,mortonarboretum [63] mortonarboretum,hiring [63] hiring,four [63] four,openings [63] openings,diverse [63] diverse,areas [63] areas,world [63] world,renowned [63] renowned,environmental [63] environmental,non Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: