The graph represents a network of 2,148 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, 27 October 2019 at 08:54 UTC.
The requested start date was Sunday, 27 October 2019 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 12-day, 14-hour, 57-minute period from Sunday, 13 October 2019 at 00:14 UTC to Friday, 25 October 2019 at 15:12 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 : 2148
Unique Edges : 2760
Edges With Duplicates : 1437
Total Edges : 4197
Number of Edge Types : 3
Tweet : 693
Mentions : 3426
Replies to : 78
Self-Loops : 693
Reciprocated Vertex Pair Ratio : 0.0456026058631922
Reciprocated Edge Ratio : 0.0872274143302181
Connected Components : 384
Single-Vertex Connected Components : 168
Maximum Vertices in a Connected Component : 1081
Maximum Edges in a Connected Component : 2723
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.495073
Graph Density : 0.000626442509100655
Modularity : 0.665795
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,148 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, 27 October 2019 at 08:54 UTC.
The requested start date was Sunday, 27 October 2019 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 12-day, 14-hour, 57-minute period from Sunday, 13 October 2019 at 00:14 UTC to Friday, 25 October 2019 at 15:12 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:
[153] social,good [94] #causes,#donate [92] #donate,#change [83] #volunteer,#causes [80] socialgood,connector [80] check,out [77] #nonprofit,#dogood [76] week,highlighting [74] eighto2shop,week [71] #change,#activism Top Word Pairs in Tweet in G1:
[91] social,good [51] finalist,shortyawards [46] shortyawards,social [32] selected,finalist [29] good,awards [26] thank,shortyawards [26] shorty,social [24] re,honored [24] honored,selected [22] full,list Top Word Pairs in Tweet in G2:
[27] sevaatree,sevaatree [22] #charity,#fundraising [22] #change,#activism [21] #causes,#donate [20] #donate,#change [20] #activism,#nonprofit [19] #becomewih,#socialgood [18] #socialgood,#bekind [16] #nonprofit,#dogood [15] #dogood,#charity Top Word Pairs in Tweet in G3:
[27] social,business [15] make,difference [15] difference,shop [15] shop,#amazonsmile [15] #amazonsmile,simply [15] simply,shop [15] shop,amazon [15] amazon,donates [13] projecthomeamer,make [13] business,forum Top Word Pairs in Tweet in G4:
[79] socialgood,connector [20] connector,clarisse [20] clarisse,joy [19] joy,mañabat [16] thepeoplesummit,casinapioiv [15] mañabat,shares [14] casinapioiv,alexandriav2005 [14] alexandriav2005,earth_uprising [12] connector,ashley [12] happy,#unday Top Word Pairs in Tweet in G5:
[75] week,highlighting [73] eighto2shop,week [62] highlighting,humanesociety [62] humanesociety,proceeds [62] proceeds,custom [62] custom,designed [62] designed,#humanesociety [13] highlighting,care [13] care,goal [13] goal,save Top Word Pairs in Tweet in G6:
[11] sussexuni,adamtickell [11] adamtickell,hcthompson001 [11] hcthompson001,socialgood [11] socialgood,cheveningfco [11] cheveningfco,ukinnigeria [11] ukinnigeria,layoladepo1 [10] layoladepo1,catrionalaing1 [8] catrionalaing1,aoafricaorg [8] aoafricaorg,edvant_edge [8] edvant_edge,rfollettsussex Top Word Pairs in Tweet in G7:
[20] plugging,#socialgood [14] prsa's,#tristateconf [14] #tristateconf,plugging [10] better,up [10] prsa,#tristateconf [9] use,#visuals [9] #visuals,better [7] final,prep [7] prep,ready [7] ready,give Top Word Pairs in Tweet in G8:
[10] social,good [8] ceo,mikegianoni [8] mikegianoni,talks [8] talks,important [8] important,many [8] many,employees [8] employees,used [8] used,work [8] work,#socialgood [8] #socialgood,organizations Top Word Pairs in Tweet in G9:
[44] #volunteer,#causes [44] #causes,#donate [43] #donate,#change [43] #change,#activism [41] #activism,#nonprofit [41] #nonprofit,#dogood [33] #nonprofit,#love [32] #children,#nonprofit [32] #follow,#socialgood [30] #education,#donate Top Word Pairs in Tweet in G10:
[15] #donate,#fundraising [15] #change,#donate [15] #donate,#volunteer [15] #volunteer,#causes [15] #causes,#nonprofit [15] #nonprofit,#dogood [15] #dogood,#fundraising [15] #fundraising,#philanthropy [15] #philanthropy,#socialgood [14] #crowdfunding,#kickstarter 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 G6:
Top Replied-To in G7:
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:
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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: