The graph represents a network of 3,571 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, 31 July 2020 at 23:11 UTC.
The requested start date was Friday, 31 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 13-hour, 53-minute period from Saturday, 25 July 2020 at 10:01 UTC to Thursday, 30 July 2020 at 23:55 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 : 3571
Unique Edges : 2462
Edges With Duplicates : 5585
Total Edges : 8047
Number of Edge Types : 5
Retweet : 1881
MentionsInRetweet : 2345
Mentions : 1029
Tweet : 2669
Replies to : 123
Self-Loops : 2802
Reciprocated Vertex Pair Ratio : 0.0469219219219219
Reciprocated Edge Ratio : 0.0896378630333453
Connected Components : 1495
Single-Vertex Connected Components : 889
Maximum Vertices in a Connected Component : 449
Maximum Edges in a Connected Component : 1277
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.94349
Graph Density : 0.000218771350601288
Modularity : 0.411705
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 3,571 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, 31 July 2020 at 23:11 UTC.
The requested start date was Friday, 31 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 13-hour, 53-minute period from Saturday, 25 July 2020 at 10:01 UTC to Thursday, 30 July 2020 at 23:55 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:
[320] #csr,#socialimpact [304] #socialimpact,#sdgs [248] #sdgs,#volunteering [207] #nonprofit,#nonprofits [204] #nonprofits,#nonprofit [190] #nonprofit,#csr [161] #yanggang,#ubi [149] #volunteer,#nonprofits [134] #covid19,#volunteer [121] #education,#covid19 Top Word Pairs in Tweet in G1:
[40] link,bio [37] non,profit [36] learn,more [36] support,worker [34] community,living [33] click,link [33] living,toronto [26] #charity,#nonprofit [26] #nonprofits,#501c3 [23] #nonprofit,#charity Top Word Pairs in Tweet in G2:
[15] #charity,#nonprofit [11] #ngo,#charity [9] hello,hawk [9] hawk,cutie [9] cutie,looks [9] looks,little [9] little,lol [9] lol,#northtorontocatrescue [9] #northtorontocatrescue,#catadoptions [9] #catadoptions,#tabby Top Word Pairs in Tweet in G3:
[22] looking,work [22] work,non [22] non,profit [22] profit,organizations [18] organizations,increase [16] increase,business [13] business,mobile [11] mobile,app [4] next,week [4] here's,#foodforthought Top Word Pairs in Tweet in G4:
[29] #nonprofit,#fundraising [14] #nonprofit,#ngo [11] #nonprofit,coalition [11] coalition,calls [11] calls,#relief4charities [11] #relief4charities,senate [11] senate,house [11] house,commence [11] commence,negotiations [11] negotiations,relief Top Word Pairs in Tweet in G5:
[320] #csr,#socialimpact [304] #socialimpact,#sdgs [248] #sdgs,#volunteering [193] #nonprofits,#nonprofit [190] #nonprofit,#nonprofits [189] #nonprofit,#csr [161] #yanggang,#ubi [149] #volunteer,#nonprofits [134] #covid19,#volunteer [121] #education,#covid19 Top Word Pairs in Tweet in G6:
[25] #nonprofit,#nonprofitnews [25] #nonprofitnews,#philanthropy [20] philantropy,news [20] news,digest [19] nonprofit,quarterly [19] digest,read [17] quarterly,#nonprofit [14] read,more [10] more,#nonprofit [7] local,activists Top Word Pairs in Tweet in G7:
[30] brought,msftnonprofits [14] msftnonprofits,learn [14] #nonprofit,organizations [11] msftnonprofits,shows [10] #nonprofit,teams [8] #nonprofit,organization [7] read,blog [7] blog,brought [7] #nonprofit,team [6] find,#nonprofit Top Word Pairs in Tweet in G8:
[8] #nonprofit,newsletter [8] credit,card [7] #nonprofit,#fundraising [7] #nonprofit,sector [6] today's,#nonprofit [6] cash,cow [6] email,marketing [6] during,crisis [5] checking,donors [5] donors,absolutely Top Word Pairs in Tweet in G9:
[15] july,31 [13] friday,july [11] black,philanthropy [10] 31,1pm [9] philanthropy,month [8] month,#bpm2020 [8] show,friday [7] jackiebcopeland,valaidaf [6] 500th,#nonprofitradio [5] #bpm2020,jackiebcopeland Top Word Pairs in Tweet in G10:
[7] nonprofits,join [7] join,crash [7] crash,course [7] course,power [7] power,bi [7] bi,data [7] data,analytics [7] analytics,tool [7] tool,presented [7] presented,knight_devin 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 G5:
Top Replied-To in G8:
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: