The graph represents a network of 5,199 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, 07 August 2020 at 23:13 UTC.
The requested start date was Friday, 07 August 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, 0-hour, 32-minute period from Wednesday, 29 July 2020 at 04:16 UTC to Thursday, 06 August 2020 at 04:49 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 : 5199
Unique Edges : 3191
Edges With Duplicates : 8764
Total Edges : 11955
Number of Edge Types : 5
Tweet : 3782
Retweet : 2787
MentionsInRetweet : 3505
Mentions : 1777
Replies to : 104
Self-Loops : 3956
Reciprocated Vertex Pair Ratio : 0.0439663236669785
Reciprocated Edge Ratio : 0.0842293906810036
Connected Components : 1827
Single-Vertex Connected Components : 1024
Maximum Vertices in a Connected Component : 1165
Maximum Edges in a Connected Component : 4371
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.879531
Graph Density : 0.000165184043665425
Modularity : 0.422891
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,199 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, 07 August 2020 at 23:13 UTC.
The requested start date was Friday, 07 August 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, 0-hour, 32-minute period from Wednesday, 29 July 2020 at 04:16 UTC to Thursday, 06 August 2020 at 04:49 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:
[177] #nonprofit,#charity [161] #charity,#nonprofit [149] #nonprofit,#nonprofits [146] learn,more [129] #csr,#socialimpact [124] #nonprofit,#fundraising [113] #socialimpact,#sdgs [112] #nonprofit,organizations [103] covid,19 [92] #sdgs,#volunteering Top Word Pairs in Tweet in G1:
[53] support,worker [44] learn,more [44] #nonprofit,#disability [41] #nonprofit,#philanthropy [39] non,profit [39] #nonprofit,#charity [39] community,living [38] living,toronto [36] #charity,#nonprofit [35] link,bio Top Word Pairs in Tweet in G2:
[65] #nonprofit,#fundraising [51] #nonprofits,#501c3 [42] #501c3,#charitywork [34] #nonprofit,#charity [34] #nonprofit,#bethechange [32] planned,giving [32] #charitywork,#nonprofitwork [31] #nonprofits,#fundraising [30] #fundraising,#501c3 [29] #charity,#nonprofitlife Top Word Pairs in Tweet in G3:
[62] brought,msftnonprofits [26] #nonprofit,organizations [19] msftnonprofits,shows [19] #nonprofit,teams [17] msftnonprofits,learn [16] during,#covid19 [15] #digitaltransformation,microsoftteams [14] shows,#nonprofit [14] msftnonprofits,see [13] msftnonprofits,microsoftteams Top Word Pairs in Tweet in G4:
[28] #charity,#nonprofit [24] #donate,#nonprofit [21] #nonprofit,#charity [16] #donate,#support [16] #support,#fundraiser [16] #fundraiser,#charity [14] please,#donate [14] #nonprofit,#donationsneeded [14] #donationsneeded,#inthistogether [13] call,upon Top Word Pairs in Tweet in G5:
[73] state,contracting [73] threat,stability [73] communities,serve [72] delays,state [70] contracting,major [70] major,threat [62] serve,proud [54] ensure,state [54] state,agencies [54] agencies,pay Top Word Pairs in Tweet in G6:
[20] 2020,power [20] top,50 [15] power,influence [15] influence,top [15] nonprofittimes,2020 [13] #nonprofit,leaders [10] thanks,advocacy [10] advocacy,#nonprofit [10] #nonprofit,community [10] community,#yadvocates Top Word Pairs in Tweet in G7:
[59] zeus,#bigbrownbat [59] #bigbrownbat,big [59] big,appetite [59] appetite,#batsoflubee [59] #batsoflubee,#floridanatives [59] #floridanatives,#microbats [59] #microbats,#lunchtime [59] #lunchtime,#nonprofit [58] batconservancy,zeus [18] caught,fb Top Word Pairs in Tweet in G8:
[18] #cybersecurity,#virtuallytesting [13] moved,operations [12] link,bio [12] vtfoundation,free [11] free,awscloud [11] awscloud,course [11] course,udemy [11] udemy,day [11] day,left [11] left,#cybersecurity Top Word Pairs in Tweet in G9:
[16] journal_jnel,incorporating [16] incorporating,#diversity [16] #diversity,undergraduate [16] undergraduate,#nonprofit [16] #nonprofit,management [16] management,education [16] education,reading [15] lindseymcdougle,journal_jnel [15] reading,divers [9] issue,#nvsq Top Word Pairs in Tweet in G10:
[9] box,ceo [9] ceo,levie [9] current,environment [7] congratulations,2020 [7] 2020,#hiltonprize [7] #hiltonprize,recipient [7] recipient,homeboyind [7] homeboyind,#nonprofit [7] #nonprofit,making [7] making,extraordinary 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 G5:
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: