The graph represents a network of 2,258 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 Tuesday, 29 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 13-day, 23-hour, 45-minute period from Sunday, 13 October 2019 at 00:14 UTC to Sunday, 27 October 2019 at 00:00 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 : 2258
Unique Edges : 2901
Edges With Duplicates : 1544
Total Edges : 4445
Number of Edge Types : 3
Mentions : 3601
Tweet : 759
Replies to : 85
Self-Loops : 759
Reciprocated Vertex Pair Ratio : 0.0461909686315064
Reciprocated Edge Ratio : 0.0883031301482702
Connected Components : 406
Single-Vertex Connected Components : 183
Maximum Vertices in a Connected Component : 1185
Maximum Edges in a Connected Component : 3011
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.082058
Graph Density : 0.000595529389326308
Modularity : 0.661242
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,258 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 Tuesday, 29 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 13-day, 23-hour, 45-minute period from Sunday, 13 October 2019 at 00:14 UTC to Sunday, 27 October 2019 at 00:00 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 : 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:
[165] social,good [99] #causes,#donate [97] #donate,#change [85] socialgood,connector [85] check,out [85] #volunteer,#causes [79] #nonprofit,#dogood [77] week,highlighting [75] eighto2shop,week [72] #change,#activism Top Word Pairs in Tweet in G1:
[94] social,good [52] finalist,shortyawards [48] shortyawards,social [33] selected,finalist [30] good,awards [27] thank,shortyawards [27] shorty,social [25] re,honored [25] honored,selected [23] full,list Top Word Pairs in Tweet in G2:
[27] sevaatree,sevaatree [24] #charity,#fundraising [23] #causes,#donate [23] #change,#activism [22] #donate,#change [21] #activism,#nonprofit [19] #becomewih,#socialgood [18] #socialgood,#bekind [16] #fundraising,#socialgood [16] #nonprofit,#dogood Top Word Pairs in Tweet in G3:
[84] socialgood,connector [21] connector,clarisse [21] clarisse,joy [20] joy,mañabat [16] mañabat,shares [16] thepeoplesummit,casinapioiv [14] connector,aleacostaj [14] casinapioiv,alexandriav2005 [14] alexandriav2005,earth_uprising [12] connector,ashley Top Word Pairs in Tweet in G4:
[28] social,business [16] make,difference [16] difference,shop [16] shop,#amazonsmile [16] #amazonsmile,simply [16] simply,shop [16] shop,amazon [16] amazon,donates [14] deloitte,helping [14] business,forum Top Word Pairs in Tweet in G5:
[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 G6:
[76] week,highlighting [74] eighto2shop,week [63] highlighting,humanesociety [63] humanesociety,proceeds [63] proceeds,custom [63] custom,designed [63] designed,#humanesociety [13] highlighting,care [13] care,goal [13] goal,save Top Word Pairs in Tweet in G7:
[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 [8] #socialgood,#bbcon Top Word Pairs in Tweet in G8:
[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 G9:
[16] #change,#donate [16] #donate,#volunteer [16] #volunteer,#causes [16] #causes,#nonprofit [16] #nonprofit,#dogood [16] #dogood,#fundraising [16] #fundraising,#philanthropy [16] #philanthropy,#socialgood [15] #donate,#fundraising [14] #crowdfunding,#kickstarter Top Word Pairs in Tweet in G10:
[15] thrilled,see [15] see,#teachboldly [15] #teachboldly,iste [15] iste,website [15] website,homepage [15] homepage,today [15] today,#socialgood [14] jenwilliamsedu,thrilled [14] #socialgood,#edtec [6] thank,team 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 G7:
Top Replied-To in G8:
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: