The graph represents a network of 353 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, 28 September 2020 at 15:33 UTC.
The requested start date was Monday, 28 September 2020 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 13-day, 10-hour, 47-minute period from Monday, 14 September 2020 at 09:12 UTC to Sunday, 27 September 2020 at 20:00 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 : 353
Unique Edges : 289
Edges With Duplicates : 652
Total Edges : 941
Number of Edge Types : 5
Retweet : 292
MentionsInRetweet : 436
Mentions : 146
Tweet : 64
Replies to : 3
Self-Loops : 69
Reciprocated Vertex Pair Ratio : 0.0423387096774194
Reciprocated Edge Ratio : 0.0812379110251451
Connected Components : 35
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 186
Maximum Edges in a Connected Component : 596
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.597172
Graph Density : 0.00416076487252125
Modularity : 0.479418
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 353 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, 28 September 2020 at 15:33 UTC.
The requested start date was Monday, 28 September 2020 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 13-day, 10-hour, 47-minute period from Monday, 14 September 2020 at 09:12 UTC to Sunday, 27 September 2020 at 20:00 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 : #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:
[61] role,#iot [61] #iot,#sustainability [61] #sustainability,addressing [61] addressing,current [61] current,environmental [61] environmental,conditions [58] #datascience,#ai [53] social,good [48] power,#datascience [48] #ai,inform Top Word Pairs in Tweet in G1:
[56] #datascience,#ai [53] role,#iot [53] #iot,#sustainability [53] #sustainability,addressing [53] addressing,current [53] current,environmental [53] environmental,conditions [50] social,good [46] power,#datascience [46] #ai,inform Top Word Pairs in Tweet in G2:
[7] come,join [7] join,datakinduk [7] datakinduk,help [7] help,make [7] make,impact [7] impact,social [7] social,sector [7] sector,helping [7] helping,organisations [7] organisations,make Top Word Pairs in Tweet in G3:
[14] algorithm,problem [14] problem,solving [14] solving,cars [14] cars,human [14] human,brain [14] brain,#ai [14] #ai,#ml [14] #ml,#data4good [14] #data4good,drjdrooghaag [14] drjdrooghaag,nevillegaunt Top Word Pairs in Tweet in G4:
[17] flying,labs [10] labs,day [9] first,#flyinglabs [9] #flyinglabs,launched [9] launched,years [9] years,ago [9] ago,today [9] today,join [9] join,celebrating [9] celebrating,2nd Top Word Pairs in Tweet in G5:
[7] honored,represent [7] represent,databricks [7] databricks,part [7] part,dssgpt [7] dssgpt,fine [7] fine,endeavor [7] endeavor,doing [7] doing,mlflow [7] mlflow,workshop [7] workshop,tech Top Word Pairs in Tweet in G6:
[7] y'all,seen [7] seen,justynalucznik's [7] justynalucznik's,presentation [7] presentation,gartner_inc's [7] gartner_inc's,analytics [7] analytics,bi [7] bi,bakeoff [7] bakeoff,love [7] love,mspowerbi [7] mspowerbi,report Top Word Pairs in Tweet in G7:
[3] #data,strategic [3] strategic,asset [3] asset,#uk [3] #uk,releases [3] releases,national [3] national,data [3] data,strategy [3] strategy,setting [3] setting,vision [3] vision,leverage Top Word Pairs in Tweet in G8:
[2] thanks,str_data [2] str_data,forwardkeys [2] forwardkeys,icao [2] icao,sojern [2] sojern,airdna [2] airdna,today [2] today,launch [2] launch,#unwto [2] #unwto,#tourism [2] #tourism,#recoverytracker Top Word Pairs in Tweet in G9:
[2] always,happy [2] happy,meet [2] meet,minded [2] minded,friends [2] friends,#cop26 [2] #cop26,#earthobservation [2] #earthobservation,#climatedata [2] #climatedata,#data4good [2] #data4good,cop26 [2] cop26,spacegovuk Top Replied-To in Entire Graph:
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: