The graph represents a network of 129 Twitter users whose tweets in the requested range contained "#data4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 16 May 2022 at 18:45 UTC.
The requested start date was Monday, 16 May 2022 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 12-day, 17-hour, 8-minute period from Monday, 02 May 2022 at 15:27 UTC to Sunday, 15 May 2022 at 08:36 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 : 129
Unique Edges : 138
Edges With Duplicates : 160
Total Edges : 298
Number of Edge Types : 4
Tweet : 23
Retweet : 65
MentionsInRetweet : 152
Mentions : 58
Self-Loops : 23
Reciprocated Vertex Pair Ratio : 0.0320855614973262
Reciprocated Edge Ratio : 0.0621761658031088
Connected Components : 27
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 35
Maximum Edges in a Connected Component : 106
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.281339
Graph Density : 0.0116884689922481
Modularity : 0.566602
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 129 Twitter users whose tweets in the requested range contained "#data4good", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 16 May 2022 at 18:45 UTC.
The requested start date was Monday, 16 May 2022 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 12-day, 17-hour, 8-minute period from Monday, 02 May 2022 at 15:27 UTC to Sunday, 15 May 2022 at 08:36 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 : #data4good
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:
[22] advisory,board [22] board,member [12] join,baltdata [12] baltdata,more [12] speak,dataworksmd's [12] dataworksmd's,dax [12] dax,conference [12] conference,future [12] future,#ai [12] #ai,#machinelearning Top Word Pairs in Tweet in G1:
[12] join,baltdata [12] baltdata,more [12] speak,dataworksmd's [12] dataworksmd's,dax [12] dax,conference [12] conference,future [12] future,#ai [11] #ai,#machinelearning [9] #machinelearning,umbc [9] kirkdborne,join Top Word Pairs in Tweet in G2:
[4] #data4good,#jobalert [3] #data4good,nodexl [3] nodexl,this0499154500 [3] this0499154500,kirkdborne [3] kirkdborne,datakind [3] datakind,sdgailab [3] sdgailab,data_orchard [3] data_orchard,drjosh [2] colleague,todd [2] #data4good,empower Top Word Pairs in Tweet in G3:
[22] advisory,board [22] board,member [11] join,thisisplace [11] thisisplace,africa [11] africa,representative [11] representative,global [11] global,advisory [11] member,cmngounou [11] cmngounou,fellow [11] fellow,advisory Top Word Pairs in Tweet in G4:
[7] interested,having [7] having,#openinfra [7] #openinfra,offering [7] offering,listed [7] listed,investinopen [7] investinopen,catalog [7] catalog,open [7] open,infrastructure [7] infrastructure,services [6] kaythaney,interested Top Word Pairs in Tweet in G5:
[6] nature,conservancy [6] conservancy,nature_org [6] nature_org,nutzt [6] nutzt,sas [6] sas,customer [6] customer,intelligence [6] intelligence,360 [6] 360,seine [6] seine,marketingstrategie [6] marketingstrategie,modernisieren Top Word Pairs in Tweet in G6:
[3] zip,code [2] numina,needs [2] needs,couple [2] couple,nerds [2] nerds,software [2] software,engineer [2] engineer,full [2] full,stack [2] stack,data [2] data,scientist Top Word Pairs in Tweet in G7:
[2] evaluating,#syntheticdata [2] #syntheticdata,using [2] using,synthgauge [2] synthgauge,datascicampus [2] datascicampus,#bigdata [2] #bigdata,#datascience [2] #data4good,#dataprivacy [2] #bigdata,#data4good Top Word Pairs in Tweet in G8:
[2] #daasummit22,repdlesko [2] repdlesko,gave [2] gave,spirited [2] spirited,support [2] support,smbs [2] smbs,targeted [2] targeted,digital [2] digital,advertising [2] advertising,hear [2] hear,fia_alerts Top Word Pairs in Tweet in G9:
[2] honor,co [2] co,host [2] host,episode [2] episode,edupexperience [2] edupexperience,joesallustio [2] joesallustio,interviewed [2] interviewed,rick [2] rick,torres [2] torres,bdatawise [2] bdatawise,ceo Top Word Pairs in Tweet in G10:
[5] precious,memories [5] memories,warm [5] warm,future [5] future,things [5] things,feel [5] feel,closer [5] closer,farther [5] farther,away [5] away,see [5] see,world 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 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: