The graph represents a network of 5,103 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 Sunday, 15 November 2020 at 00:12 UTC.
The requested start date was Friday, 13 November 2020 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 8-day, 16-hour, 39-minute period from Wednesday, 04 November 2020 at 08:21 UTC to Friday, 13 November 2020 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 : 5103
Unique Edges : 3373
Edges With Duplicates : 8078
Total Edges : 11451
Number of Edge Types : 5
Retweet : 2382
MentionsInRetweet : 3065
Replies to : 84
Tweet : 4127
Mentions : 1793
Self-Loops : 4271
Reciprocated Vertex Pair Ratio : 0.0508866615265998
Reciprocated Edge Ratio : 0.0968451944240646
Connected Components : 2057
Single-Vertex Connected Components : 1243
Maximum Vertices in a Connected Component : 922
Maximum Edges in a Connected Component : 3521
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 7.302642
Graph Density : 0.000157054754380422
Modularity : 0.41917
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,103 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 Sunday, 15 November 2020 at 00:12 UTC.
The requested start date was Friday, 13 November 2020 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 8-day, 16-hour, 39-minute period from Wednesday, 04 November 2020 at 08:21 UTC to Friday, 13 November 2020 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:
[217] #charity,#nonprofit [171] #nonprofit,#charity [167] learn,more [160] non,profit [138] #community,#education [135] #nonprofit,#csr [128] #education,#sustainability [128] #sustainability,#nonprofits [128] #volunteering,#communities [128] #communities,#yanggang Top Word Pairs in Tweet in G1:
[78] #charity,#nonprofit [64] learn,more [60] link,bio [59] #nonprofit,#nonprofitnews [58] #nonprofitnews,#philanthropy [47] non,profit [44] #nonprofit,#disability [44] nonprofit,quarterly [43] quarterly,#nonprofit [41] support,worker Top Word Pairs in Tweet in G2:
[41] #nonprofit,#fundraising [18] social,media [16] #nonprofit,sector [13] #fundraising,#nonprofit [12] leaders,color [10] year,end [9] #nonprofit,board [9] #nonprofit,#npcomms [7] take,look [6] #nonprofit,#charity Top Word Pairs in Tweet in G3:
[39] #charity,#nonprofit [37] #nonprofit,#donate [26] #support,#help [22] please,retweet [22] retweet,win [22] win,000 [22] 000,#cash [21] #free,#dinero [20] #cash,yourself [20] yourself,000 Top Word Pairs in Tweet in G4:
[65] brought,msftnonprofits [32] msftnonprofits,learn [27] msftnonprofits,shows [24] #nonprofit,organizations [20] #nonprofit,team [18] msftnonprofits,see [17] shows,#nonprofit [17] ebook,brought [16] #nonprofit,organization [16] #digitaltransformation,microsoftteams Top Word Pairs in Tweet in G5:
[28] #ajcancerrehab,#cancerrehab [27] #cancerrehab,#nonprofit [25] gaby,head [25] head,pt [19] foundation,ajcancerrehab [17] friend,gaby [17] pt,foundation [17] ajcancerrehab,#ajcancerrehab [16] alexs_journey,friend [16] #nonprofit,#ph Top Word Pairs in Tweet in G6:
[48] #donate,#nonprofit [43] #charity,#donate [43] #support,#help [42] #nonprofit,#community [42] #community,#support [42] #help,#donation [41] #fundraiser,#charity [21] miscellaneous,visit [21] visit,#app [21] #app,#charities Top Word Pairs in Tweet in G7:
[61] hey,everyone [61] everyone,#birthday [61] #birthday,celebrate [61] celebrate,ask [61] ask,give [61] give,farssanctuary [61] farssanctuary,#ff [61] #ff,perhaps [60] greennomad61,hey [8] farm,animals Top Word Pairs in Tweet in G8:
[10] umasspolicy,excited [10] excited,start [10] start,#arnova20 [10] #arnova20,faculty [10] faculty,members [10] members,brendakbushouse [10] brendakbushouse,juniperkatz [10] juniperkatz,vivianacswu [9] rutgersspaa,phd [9] umasspolicy,umasspolicy Top Word Pairs in Tweet in G9:
[5] #nfp,#nonprofit [4] need,something [4] something,amplify [4] amplify,message [4] message,love [4] love,supporting [4] supporting,helping [4] helping,#smallbusiness [4] #smallbusiness,#nonprofit [4] healing,helping Top Word Pairs in Tweet in G10:
[15] #techforgood,expert [12] #techtipsdigest,session [8] techsoup,#nonprofit [7] nov,11 [7] pt,rsvp [7] join,#techforgood [6] trends,covid [6] covid,19 [6] 19,age [6] join,netsquared Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: