The graph represents a network of 341 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 Tuesday, 11 June 2019 at 05:08 UTC.
The requested start date was Monday, 10 June 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, 21-hour, 11-minute period from Monday, 27 May 2019 at 01:32 UTC to Sunday, 09 June 2019 at 22:43 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 : 341
Unique Edges : 435
Edges With Duplicates : 180
Total Edges : 615
Number of Edge Types : 3
Mentions : 515
Tweet : 96
Replies to : 4
Self-Loops : 96
Reciprocated Vertex Pair Ratio : 0.0210280373831776
Reciprocated Edge Ratio : 0.0411899313501144
Connected Components : 52
Single-Vertex Connected Components : 24
Maximum Vertices in a Connected Component : 194
Maximum Edges in a Connected Component : 454
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.326909
Graph Density : 0.00376919096084181
Modularity : 0.641943
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[32] top,10 [32] 10,applications [32] applications,#ai [32] #ai,healthcare [32] healthcare,plus [32] plus,fighting [32] fighting,cancer [32] cancer,#bigdata [31] #bigdata,#machinelearning [31] â,â Top Word Pairs in Tweet in G1:
[27] top,10 [27] 10,applications [27] applications,#ai [27] #ai,healthcare [27] healthcare,plus [27] plus,fighting [27] fighting,cancer [27] cancer,#bigdata [26] #bigdata,#machinelearning [19] kirkdborne,top Top Word Pairs in Tweet in G2:
[18] new,#data4good [18] #data4good,partnership [17] excited,announce [17] announce,new [17] partnership,today [17] today,providing [17] providing,teams [17] teams,access [17] access,dataminr [17] dataminr,support Top Word Pairs in Tweet in G3:
[10] #ai,#data4good [9] â,â [8] #tbt,wraltechwire [8] wraltechwire,s [8] s,suggested [8] suggested,tagline [8] tagline,sassoftware [8] sassoftware,power [8] power,know [8] know,power Top Word Pairs in Tweet in G4:
[4] #bigdata,#datascience [3] #ai,helping [3] helping,healthcare [3] healthcare,manufacturing [3] manufacturing,even [3] even,insurance [3] insurance,#data4good [2] characterization,#mentalhealth [2] #mentalhealth,conditions [2] conditions,#socialmedia Top Word Pairs in Tweet in G5:
[21] data4change,nairobi [21] nairobi,kicked [21] kicked,sure [21] sure,follow [21] follow,adventure [21] adventure,progress [21] progress,#d4cnairobi [21] #d4cnairobi,stay [20] data4change,data4change [20] stay,tune Top Word Pairs in Tweet in G6:
[23] ðÿ,ðÿ [18] ðÿ,â [14] â,ðÿ [10] hofwatreg,jointerminal [8] #data4good,#ai4good [6] itâ,s [6] jointerminal,#data4good [5] over,40 [5] 40,amazing [5] amazing,data Top Word Pairs in Tweet in G7:
[17] ht,kirkdborne [11] #bigdata,#datascience [7] #data4good,#ai4socialgood [7] kirk,borne [7] benefits,combining [6] #healthtech,#data4good [6] #datascience,#data4good [6] â,â [6] theadamgabriel,ht [5] kirkdborne,#healthcare Top Word Pairs in Tweet in G8:
[4] il,faut [4] faut,développer [4] développer,des [4] des,outils [4] outils,pour [4] pour,aider [4] aider,les [4] les,patients [4] patients,à [4] à,atteindre Top Word Pairs in Tweet in G9:
[7] ensure,communities [7] learn,more [4] center,working [4] working,equip [4] equip,city [4] city,community [4] community,leaders [4] leaders,new [4] new,tools [4] tools,insights Top Replied-To in Entire Graph:
Top Replied-To in G3:
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: