The graph represents a network of 387 Twitter users whose tweets in the requested range contained "medx", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 06 March 2021 at 14:15 UTC.
The requested start date was Saturday, 06 March 2021 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, 19-hour, 53-minute period from Saturday, 20 February 2021 at 01:04 UTC to Friday, 05 March 2021 at 20:58 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 : 387
Unique Edges : 384
Edges With Duplicates : 1055
Total Edges : 1439
Number of Edge Types : 5
Retweet : 225
MentionsInRetweet : 287
Tweet : 398
Mentions : 273
Replies to : 256
Self-Loops : 416
Reciprocated Vertex Pair Ratio : 0.0883534136546185
Reciprocated Edge Ratio : 0.162361623616236
Connected Components : 83
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 104
Maximum Edges in a Connected Component : 693
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.234496
Graph Density : 0.00362828185457418
Modularity : 0.345442
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 387 Twitter users whose tweets in the requested range contained "medx", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 06 March 2021 at 14:15 UTC.
The requested start date was Saturday, 06 March 2021 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, 19-hour, 53-minute period from Saturday, 20 February 2021 at 01:04 UTC to Friday, 05 March 2021 at 20:58 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 : medx
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:
[566] ù,ù [299] ø,ù [299] ø,ø [281] medx,holdings [271] ù,ø [263] holdings,inc [208] medh,medx [88] smart,brands [83] brands,digital [80] inc,otc Top Word Pairs in Tweet in G1:
[52] bull,flag [34] radiosilentplay,medh [32] flag,break [22] smart,brands [20] medh,024 [20] 024,news [20] news,bull [20] flag,master [20] master,support [20] support,022 Top Word Pairs in Tweet in G2:
[459] ù,ù [89] ø,ù [84] ù,ø [81] ø,ø [15] ø,ùˆø [11] ùšø,ø [10] ùˆø,ù [10] ø,ùšø [7] ùˆø,ø [7] ùšù,ø Top Word Pairs in Tweet in G3:
[19] medx,holdings [14] smart,brands [14] brands,digital [13] medh,medx [12] holdings,inc [8] acquires,smart [8] #cannabis,#cbd [8] #cbd,#hemp [8] #hemp,#marijuana [8] #marijuana,#medicalmarijuana Top Word Pairs in Tweet in G4:
[13] medx_707,jonngz [12] cloud_9980,medx_707 [10] ù,ù [9] ø,ù [6] m_n20k,cloud_9980 [6] ù,ø [6] ø,ø [5] 5x_lil,medx_707 [5] as_25i,cloud_9980 [4] medx_707,ø Top Word Pairs in Tweet in G5:
[6] dr,amy [6] amy,price [6] price,equality [6] equality,patient [6] patient,editor [6] editor,medical [6] medical,journalism [6] journalism,youtube [6] youtube,bmj_latest [5] amypricephd,dr Top Word Pairs in Tweet in G6:
[2] incredible,honor [2] honor,part [2] part,breakthrough [2] breakthrough,innovation [2] innovation,protect [2] protect,#kids [2] #kids,health [2] health,fooya [2] fooya,world [2] world,leading Top Word Pairs in Tweet in G7:
[212] ø,ø [201] ø,ù [181] ù,ø [97] ù,ù [26] øªø,ø [18] ø,ùšø [15] ø,øª [14] ø,øªø [14] ù,øªø [12] ù,ùˆø Top Word Pairs in Tweet in G8:
[6] medh,chart [6] chart,still [6] still,waiting [6] waiting,those [6] those,updates [6] updates,bottom [6] bottom,support [6] support,watch [6] watch,again [5] mixincolor,medh Top Word Pairs in Tweet in G9:
[8] chance,win [6] follow,originalfunko [6] originalfunko,chance [4] originalfunko,follow [4] #funkogiveaway,#giveaway [3] free,versions [2] reminder,tax [2] tax,prep [2] prep,software [2] software,companies Top Word Pairs in Tweet in G10:
[28] #impinv,#vc [19] biozhena,files [19] files,downloads [13] additional,#biozhena [13] #biozhena,file [12] #invest,#emerging [12] #obgyn,#impinv [11] #vc,#obgyn [11] #obgyn,#invest [11] #emerging,#medx Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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: