The graph represents a network of 392 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, 27 October 2020 at 15:54 UTC.
The requested start date was Monday, 26 October 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, 11-hour, 51-minute period from Monday, 12 October 2020 at 06:29 UTC to Sunday, 25 October 2020 at 18:20 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 : 392
Unique Edges : 305
Edges With Duplicates : 749
Total Edges : 1054
Number of Edge Types : 5
MentionsInRetweet : 499
Mentions : 165
Retweet : 317
Tweet : 63
Replies to : 10
Self-Loops : 67
Reciprocated Vertex Pair Ratio : 0.0463821892393321
Reciprocated Edge Ratio : 0.0886524822695035
Connected Components : 45
Single-Vertex Connected Components : 13
Maximum Vertices in a Connected Component : 251
Maximum Edges in a Connected Component : 822
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.41925
Graph Density : 0.00367973276267029
Modularity : 0.450327
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 392 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, 27 October 2020 at 15:54 UTC.
The requested start date was Monday, 26 October 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, 11-hour, 51-minute period from Monday, 12 October 2020 at 06:29 UTC to Sunday, 25 October 2020 at 18:20 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:
[37] improve,patient [37] patient,outcomes [37] outcomes,experience [37] experience,advanced [37] advanced,#healthcare [37] #healthcare,#analytics [37] #analytics,sassoftware [35] kirkdborne,improve [29] #undataforum,kicked [29] kicked,today Top Word Pairs in Tweet in G1:
[32] improve,patient [32] patient,outcomes [32] outcomes,experience [32] experience,advanced [32] advanced,#healthcare [32] #healthcare,#analytics [32] #analytics,sassoftware [30] kirkdborne,improve [24] #datascience,#ai [17] power,#datascience Top Word Pairs in Tweet in G2:
[20] dssgpt,#dssgsummit [17] #socialgood,#data4good [12] #data4good,#datascience [11] #datascience,#summit [11] 13,october [7] cristina,soguero [7] soguero,ruiz [7] #data4good,#summit [7] kirkdborne,improving [7] improving,transportation Top Word Pairs in Tweet in G3:
[28] #undataforum,kicked [28] kicked,today [28] today,everywhere [28] everywhere,wherever [28] wherever,world [28] world,join [28] join,year's [28] year's,largest [28] largest,global [28] global,data Top Word Pairs in Tweet in G4:
[17] flying,labs [12] #ai,#iot [12] #iot,bring [12] bring,together [12] together,computer [12] computer,vision [12] vision,streaming [12] streaming,audio [12] audio,analysis [12] analysis,sensor Top Word Pairs in Tweet in G5:
[13] excited,announce [13] announce,registrations [13] registrations,yearly [13] yearly,correlaid [13] correlaid,conference [13] conference,11 [13] 11,2020 [13] 2020,open [13] open,great [13] great,speakers Top Word Pairs in Tweet in G6:
[6] #data4good,panel [5] savina,hawkins [5] curated,list [5] list,#data4good [5] #data4good,sessions [3] dataconla,#data4good [3] #data4good,work [3] work,excited [3] excited,toddterrazas [3] toddterrazas,#d4g Top Word Pairs in Tweet in G7:
[6] excited,one [6] one,speakers [6] speakers,year's [6] year's,ai [6] ai,bootcamp [6] bootcamp,organised [6] organised,data [6] data,science [6] science,nigeria [6] nigeria,view Top Word Pairs in Tweet in G8:
[3] #kindness,#payitforward [2] one,latest [2] latest,#data4good [2] #data4good,projects [2] projects,durham [2] durham,public [2] public,schools [2] schools,exploring [2] exploring,best [2] best,help Top Word Pairs in Tweet in G9:
[9] 今日は,#世界統計の日 [9] #世界統計の日,世界の [9] 世界の,#統計 [9] #統計,関係者にとって5年に一度の記念日です [9] 関係者にとって5年に一度の記念日です,バーチャルで開催中の [9] バーチャルで開催中の,#undataforum [9] #undataforum,は [9] は,世界最大のデータ関連のイベント [9] 世界最大のデータ関連のイベント,どなたでも参加可能 [9] どなたでも参加可能,最先端のデータ関連の議論に触れてみませんか Top Word Pairs in Tweet in G10:
[4] data,science [4] science,lead [4] lead,dulcievousden [4] dulcievousden,volunteer [4] volunteer,a_campello_jr [4] a_campello_jr,giving [4] giving,joint [4] joint,talk [4] talk,datasciencefest [4] datasciencefest,2020 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
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 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: