The graph represents a network of 448 Twitter users whose recent tweets contained "#NCDs", 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 Saturday, 10 July 2021 at 00:40 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 42-minute period from Thursday, 01 July 2021 at 15:41 UTC to Saturday, 10 July 2021 at 00:23 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 : 448
Unique Edges : 773
Edges With Duplicates : 130
Total Edges : 903
Number of Edge Types : 5
MentionsInRetweet : 339
Mentions : 201
Replies to : 22
Retweet : 248
Tweet : 93
Self-Loops : 98
Reciprocated Vertex Pair Ratio : 0.040983606557377
Reciprocated Edge Ratio : 0.078740157480315
Connected Components : 65
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 227
Maximum Edges in a Connected Component : 569
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 4.237746
Graph Density : 0.00380512943432407
Modularity : 0.737399
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 448 Twitter users whose recent tweets contained "#NCDs", 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 Saturday, 10 July 2021 at 00:40 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 42-minute period from Thursday, 01 July 2021 at 15:41 UTC to Saturday, 10 July 2021 at 00:23 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 : #NCDs
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:
[41] diseases,#ncds [27] noncommunicable,diseases [25] living,#ncds [24] non,communicable [22] communicable,diseases [22] क,म [21] people,living [18] air,pollution [18] pooled,procurement [18] procurement,work Top Word Pairs in Tweet in G1:
[15] pooled,procurement [15] procurement,work [15] work,#ncds [15] join,tomorrow [15] tomorrow,latest [15] latest,ncd [15] ncd,hard [15] hard,talk [11] #ncds,join [11] talk,learn Top Word Pairs in Tweet in G2:
[15] speakers,announced [15] announced,#tobaccocontrol [15] #tobaccocontrol,#ncds [15] #ncds,key [15] key,pieces [15] pieces,#pandemic [15] #pandemic,recovery [15] recovery,puzzle [15] puzzle,join [15] join,july Top Word Pairs in Tweet in G3:
[9] #schoolhealth,#ncds [8] living,#ncds [5] #covid19,#ncds [5] #ncds,#children [5] #equity,#sdoh [4] dr,caffe [4] caffe,pahowho [4] pahowho,puts [4] puts,make [4] make,school Top Word Pairs in Tweet in G4:
[5] #ncds,#publichealth [5] #karnataka,#sdgs [5] #sdgs,#india [5] #publichealth,#healthpromotion [5] #publichealth,#covid19 [5] #covid19,#sarscov2 [5] #cvd,#heartdisease [5] #csr,#karnataka [4] #environment,#sustainability [4] 38,villages Top Word Pairs in Tweet in G5:
[8] mohcczim,who_zimbabwe [7] diseases,#ncds [6] non,communicable [6] communicable,diseases [6] #ncds,affect [6] affect,communities [6] communities,affected [6] affected,caregiver [6] caregiver,family [6] family,member Top Word Pairs in Tweet in G6:
[2] second,wave Top Word Pairs in Tweet in G7:
[8] strong,front [8] front,pack [8] pack,warning [8] warning,labels [8] labels,ward [8] ward,crises [8] crises,childhood [8] childhood,#obesity [8] #obesity,#diabetes [8] #diabetes,noncommunicable Top Word Pairs in Tweet in G8:
[3] deal,100 [3] 100,ka [3] ka,hua [3] hua,60 [3] 60,adha [3] adha,gaya [3] gaya,nath [3] nath,10 [3] 10,dunga [3] dunga,10 Top Word Pairs in Tweet in G9:
[13] partnership,intrahealth [13] intrahealth,under [13] under,usaid [13] usaid,funded [13] funded,ingobyi [13] ingobyi,activity [13] activity,sfh [13] sfh,rwanda [13] rwanda,together [13] together,hc Top Word Pairs in Tweet in G10:
[6] noncommunicable,diseases [5] global,voices [5] voices,prevention [5] prevention,noncommunicable [5] diseases,faseborg [5] faseborg,special [5] special,collection [5] collection,released [5] released,13 [5] 13,articles Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G8:
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: