The graph represents a network of 187 Twitter users whose recent tweets contained "#ICTD2020", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 26 June 2020 at 01:06 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 37-minute period from Wednesday, 17 June 2020 at 18:33 UTC to Thursday, 25 June 2020 at 14:11 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 : 187
Unique Edges : 410
Edges With Duplicates : 156
Total Edges : 566
Number of Edge Types : 5
Replies to : 18
Retweet : 124
MentionsInRetweet : 264
Mentions : 149
Tweet : 11
Self-Loops : 11
Reciprocated Vertex Pair Ratio : 0.0384615384615385
Reciprocated Edge Ratio : 0.0740740740740741
Connected Components : 10
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 95
Maximum Edges in a Connected Component : 327
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.540077
Graph Density : 0.0131964809384164
Modularity : 0.623518
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 187 Twitter users whose recent tweets contained "#ICTD2020", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 26 June 2020 at 01:06 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 37-minute period from Wednesday, 17 June 2020 at 18:33 UTC to Thursday, 25 June 2020 at 14:11 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 : TwitterSearch
Graph Term : #ICTD2020
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:
[34] hoy,tuve [34] tuve,honor [34] honor,speaker [34] speaker,#ictd2020 [34] #ictd2020,cerrar [34] cerrar,conferencias [34] conferencias,hablando [34] hablando,redes [34] redes,sociales [34] sociales,aceleradores Top Word Pairs in Tweet in G1:
[17] #battleagainstsma,#ictd2020 [11] #ictd2020,curesmaindia [6] curesmaindia,biogen [6] biogen,roche [4] clinical,trials [4] more,#research [4] help,win [4] win,#battleagainstsma [4] mohfw_india,nhpindia [4] roche,pmoindia Top Word Pairs in Tweet in G2:
[34] hoy,tuve [34] tuve,honor [34] honor,speaker [34] speaker,#ictd2020 [34] #ictd2020,cerrar [34] cerrar,conferencias [34] conferencias,hablando [34] hablando,redes [34] redes,sociales [34] sociales,aceleradores Top Word Pairs in Tweet in G3:
[10] #ictd2020,conf [10] constructive,don [10] don,ts [10] ts,designing [10] designing,#digital [10] #digital,tools [10] tools,covid [10] covid,19 [10] 19,response [10] response,learning Top Word Pairs in Tweet in G4:
[18] social,media [13] #phdchat,#academictwitter [10] presented,paper [8] azhagu_meena,drupa_dc [7] #ictd2020,use [6] extreme,speech [6] workers,india [6] media,changed [6] changed,gets [6] gets,hired Top Word Pairs in Tweet in G5:
[2] know,#sjh [2] #sjh,carries [2] carries,important [2] important,research [2] research,video [2] video,shows [2] shows,cancer [2] cancer,research [2] research,carried [2] carried,#sjh Top Word Pairs in Tweet in G6:
[2] mark,#ictd2020 [2] #ictd2020,experts [2] experts,sheffieldhosp [2] sheffieldhosp,sheffielduni [2] sheffielduni,holding [2] holding,live [2] live,discussion [2] discussion,research [2] research,#covidー19 [2] #covidー19,details Top Word Pairs in Tweet in G7:
[4] platform,led [4] led,upskilling [4] upskilling,training [4] training,marketplace [4] marketplace,platforms [4] platforms,provide [4] provide,vendors [4] vendors,self [4] self,employed [4] employed,workers Top Word Pairs in Tweet in G8:
[3] shared,work [3] work,infrastructuring [3] infrastructuring,#hope [3] #hope,solidarity [3] solidarity,#leadership [3] #leadership,negotiation [3] negotiation,#ict [3] #ict,rohingya [3] rohingya,#refugees [3] #refugees,bangladesh Top Word Pairs in Tweet in G9:
[2] world,covid [2] covid,19 [2] 19,remote [2] remote,monitoring [2] monitoring,proving [2] proving,essential [2] essential,effectively [2] effectively,monitor [2] monitor,studies [2] studies,check Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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: