The graph represents a network of 1,872 Twitter users whose tweets in the requested range contained "#malaria", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 January 2022 at 04:46 UTC.
The requested start date was Monday, 17 January 2022 at 01:01 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, 6-hour, 7-minute period from Monday, 03 January 2022 at 05:40 UTC to Sunday, 16 January 2022 at 11:47 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 : 1872
Unique Edges : 1210
Edges With Duplicates : 3347
Total Edges : 4557
Number of Edge Types : 5
Tweet : 474
MentionsInRetweet : 1978
Mentions : 616
Retweet : 1449
Replies to : 40
Self-Loops : 504
Reciprocated Vertex Pair Ratio : 0.0301530153015302
Reciprocated Edge Ratio : 0.0585408475316732
Connected Components : 275
Single-Vertex Connected Components : 135
Maximum Vertices in a Connected Component : 824
Maximum Edges in a Connected Component : 2436
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.385986
Graph Density : 0.000653530951499952
Modularity : 0.483399
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,872 Twitter users whose tweets in the requested range contained "#malaria", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 January 2022 at 04:46 UTC.
The requested start date was Monday, 17 January 2022 at 01:01 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, 6-hour, 7-minute period from Monday, 03 January 2022 at 05:40 UTC to Sunday, 16 January 2022 at 11:47 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 : #malaria
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:
[191] #hiv,#malaria [188] #malaria,#tuberkulose [186] weltweit,verhungern [186] 30,40 [186] 40,mio [186] mio,menschen [186] menschen,mehr [174] #tuberkulose,#covid [174] #covid,zusammen [172] verhungern,jedes Top Word Pairs in Tweet in G1:
[19] contra,#malaria [18] covid,19 [15] globalfund,working [15] working,swiftly [15] swiftly,procure [15] procure,distribute [15] distribute,covid [15] 19,tests [15] tests,oxygen [15] oxygen,treatments Top Word Pairs in Tweet in G2:
[171] weltweit,verhungern [171] verhungern,jedes [171] jedes,jahr [171] jahr,knapp [171] knapp,30 [171] 30,40 [171] 40,mio [171] mio,menschen [171] menschen,mehr [171] mehr,#hiv Top Word Pairs in Tweet in G3:
[27] take,#malaria [27] #malaria,pill [14] forget,take [13] remember,take [13] pill,hope [9] #dengue,#malaria [7] #mrna,#vaccine [7] 22ua,#biotech [7] #omicron,#corona [7] #corona,#malaria Top Word Pairs in Tweet in G4:
[37] hello,twitter [37] twitter,fellow [37] fellow,#scientists [37] #scientists,kindly [37] kindly,make [37] make,date [37] date,friday [37] friday,webinar [37] webinar,discussing [37] discussing,#plasmodium Top Word Pairs in Tweet in G5:
[4] kamlakar_shenoy,mybmcwardb [4] mybmcwardb,mybmchealthdept [4] mybmchealthdept,bjp4mumbai [4] bjp4mumbai,mumbaincp [4] mumbaincp,shivsenacomms [4] shivsenacomms,samajwadimah [3] #dengue,#malaria [3] samajwadimah,officeofut [2] make,uniforms [2] mumbadevipraja,kamlakar_shenoy Top Word Pairs in Tweet in G6:
[118] seasonal,diseases [110] diseases,#dengue [106] created,awareness [96] alo,activities [86] awareness,segregation [80] segregation,waste [80] waste,prevention [77] zonal,commissioner [72] few,glances [72] glances,alo Top Word Pairs in Tweet in G7:
[22] influencia,mutaciones [21] revisa,influencia [21] mutaciones,genéticas [15] investigación,centro [15] centro,nacional [15] nacional,medicina [15] medicina,tropical [15] tropical,#isciii [15] #isciii,revisa [14] saludisciii,investigación Top Word Pairs in Tweet in G8:
[9] mera,india [8] join,tomorrow [8] tomorrow,1500ist [8] 1500ist,listen [8] listen,observations [8] observations,#malariologist [8] #malariologist,profskrishna [8] profskrishna,#malariaresearch [8] #malariaresearch,#lab [7] meraindiaicmr,join Top Word Pairs in Tweet in G9:
[16] contra,#malaria [14] #lamalaria,conoces [14] conoces,patrick [14] patrick,manson [14] manson,médico [14] médico,científico [14] científico,escocés [14] escocés,descubrió [14] descubrió,filariasis [14] filariasis,humanos Top Word Pairs in Tweet in G10:
[20] #mosquitoes,transmit [16] one,way [16] way,block [16] block,#malaria [16] #malaria,transmission [16] transmission,modify [16] modify,#mosquitoes [16] transmit,parasite [16] parasite,mosquitoexpert [16] mosquitoexpert,co Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
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: