The graph represents a network of 1,473 Twitter users whose tweets in the requested range contained "socialgood", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 November 2019 at 09:54 UTC.
The requested start date was Sunday, 10 November 2019 at 01:01 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 13-day, 14-hour, 34-minute period from Sunday, 27 October 2019 at 01:26 UTC to Saturday, 09 November 2019 at 16:01 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 : 1473
Unique Edges : 1679
Edges With Duplicates : 775
Total Edges : 2454
Number of Edge Types : 3
Tweet : 681
Mentions : 1732
Replies to : 41
Self-Loops : 681
Reciprocated Vertex Pair Ratio : 0.0496031746031746
Reciprocated Edge Ratio : 0.0945179584120983
Connected Components : 362
Single-Vertex Connected Components : 150
Maximum Vertices in a Connected Component : 377
Maximum Edges in a Connected Component : 932
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.829363
Graph Density : 0.000731924643584521
Modularity : 0.655399
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,473 Twitter users whose tweets in the requested range contained "socialgood", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 November 2019 at 09:54 UTC.
The requested start date was Sunday, 10 November 2019 at 01:01 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 13-day, 14-hour, 34-minute period from Sunday, 27 October 2019 at 01:26 UTC to Saturday, 09 November 2019 at 16:01 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 : socialgood
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[465] à,à [79] social,good [56] #socialgood,#fundraising [55] #donate,#change [50] #causes,#donate [49] â,â [47] socialgood,connector [46] ðÿ,ðÿ [45] check,out [45] #donate,#volunteer Top Word Pairs in Tweet in G1:
[37] à,à [22] â,â [20] #becomewih,#socialgood [20] #socialgood,#bekind [18] #lifesoleil,#uniquegifts [15] #socialimpact,#socialgood [14] #uniquegifts,#socialgood [13] #volunteer,#causes [13] #charitable,#dogood [13] #dogood,#curatedgoods Top Word Pairs in Tweet in G2:
[47] socialgood,connector [15] #cleancooking,forum [13] connector,nashilongo [12] ðÿ,ðÿ [10] connector,thedavidconnor [10] forum,2019 [9] general,assembly [9] young,people [9] achieve,#sdgs [9] cleancooking,energymink Top Word Pairs in Tweet in G3:
[11] #asfun,#socialgood [11] #socialgood,#fundraising [11] #fundraising,#nonprofit [9] #nonprofit,#nptech [8] week,highlighting [8] #dalitlivesmatter,#verna [8] #verna,#socialgood [8] #socialgood,poetry [8] poetry,prose [8] prose,style Top Word Pairs in Tweet in G4:
[14] social,business [12] #giveback,#health [8] #socent,#socialgood [8] vacature,#accountmanager [8] #accountmanager,#impact [8] #impact,economy [8] economy,identificeer [8] identificeer,jij [8] jij,jezelf [8] jezelf,met Top Word Pairs in Tweet in G5:
[428] à,à [21] à,ˆ [21] ˆ,à [12] फ,ल [10] à,œà [10] œà,à [8] à,l [7] #trueknowledge_of_christianity,à [7] à,µ [7] µ,à Top Word Pairs in Tweet in G6:
[28] social,good [15] honored,selected [15] selected,finalist [10] submitting,raquel [10] raquel,pérez [10] pérez,s [10] s,story [10] story,shortyawards [10] shortyawards,honored [10] finalist,social Top Word Pairs in Tweet in G7:
[6] sharing,insights [5] voting,#bookcamppd [5] #bookcamppd,open [5] open,https [5] https,t [5] t,co [5] co,i2lkvouazq [5] i2lkvouazq,vote [5] vote,now [5] now,favorite Top Word Pairs in Tweet in G8:
[26] greatnonprofits,top [25] 2019,greatnonprofits [25] top,rated [20] rated,nonprofit [17] #award,#toprated [16] #2019,#award [16] #greatnonprofits,#socialgood [15] nonprofit,#2019 [15] #topnonprofit,#greatnonprofits [14] #toprated,#topnonprofit Top Word Pairs in Tweet in G9:
[2] adesantisb,withouthiseyes [2] withouthiseyes,misterchambo [2] misterchambo,leahhoustonmd [2] leahhoustonmd,blahblahkc [2] blahblahkc,rgergelymd [2] rgergelymd,docbasia [2] docbasia,dermhag [2] dermhag,ip4pi Top Word Pairs in Tweet in G10:
[10] gt,gt [7] 1,30pm [7] 30pm,et [5] #socialgood,mission [4] et,gt [4] mission,brand [4] 11,5 [4] 5,1 [4] social,good [3] register,now Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
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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:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: