The graph represents a network of 353 Twitter users whose recent tweets contained "#FamilyMedicine", 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 Wednesday, 29 April 2020 at 19:31 UTC.
The tweets in the network were tweeted over the 7-day, 14-hour, 40-minute period from Wednesday, 22 April 2020 at 03:57 UTC to Wednesday, 29 April 2020 at 18:38 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 : 353
Unique Edges : 518
Edges With Duplicates : 296
Total Edges : 814
Self-Loops : 271
Reciprocated Vertex Pair Ratio : 0.0629067245119306
Reciprocated Edge Ratio : 0.118367346938776
Connected Components : 120
Single-Vertex Connected Components : 72
Maximum Vertices in a Connected Component : 35
Maximum Edges in a Connected Component : 154
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 1.844497
Graph Density : 0.00394347154262168
Modularity : 0.58907
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 353 Twitter users whose recent tweets contained "#FamilyMedicine", 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 Wednesday, 29 April 2020 at 19:31 UTC.
The tweets in the network were tweeted over the 7-day, 14-hour, 40-minute period from Wednesday, 22 April 2020 at 03:57 UTC to Wednesday, 29 April 2020 at 18:38 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 : #FamilyMedicine
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[74] family,medicine [39] #caribbean,#westindian [39] #westindian,#functionalmedicine [37] #primarycare,#familymedicine [36] #irie,#familymedicine [31] #healthcoach,#pivotallifestyle [29] #lifecoach,#healthcoach [28] link,bio [27] #familymedicine,#caribbean [26] primary,care Top Word Pairs in Tweet in G1:
[48] family,medicine [28] link,bio [23] click,link [16] health,services [15] providence,health [15] medicine,physician [12] #primarycare,#familymedicine [12] great,fit [10] bio,see [10] bio,apply Top Word Pairs in Tweet in G2:
[14] #familymedicine,#primaryhealthcare [12] considered,essential [11] call,papers [11] papers,invitation [11] invitation,submit [11] submit,short [11] short,reports [11] reports,800 [11] 800,1000 [11] 1000,words Top Word Pairs in Tweet in G3:
[6] during,#covid19 [5] join,aafp [5] live,webinar [5] 6,30pm [5] annual,update [5] #fmrevolution,#familymedicine [4] covid,19 [4] certification,activities [4] #covid19,relief [4] relief,fund Top Word Pairs in Tweet in G4:
[16] #familymedicine,during [16] during,#covid19 [11] important,conversation [11] conversation,panel [11] panel,lined [11] lined,up [11] up,evening [11] evening,theagenda [11] theagenda,ontario [11] ontario,family Top Word Pairs in Tweet in G5:
[14] calling,nova [14] nova,scotians [14] scotians,need [14] need,help [14] help,few [14] few,minutes [14] minutes,spare [14] spare,please [14] please,fill [14] fill,out Top Word Pairs in Tweet in G6:
[5] #familymedicine,#fmrevolution [2] agordpj,recognized [2] recognized,azcim [2] azcim,w [2] w,2020 [2] 2020,#integrativemedicine [2] #integrativemedicine,residency [2] residency,award [2] award,development [2] development,longitudinal Top Word Pairs in Tweet in G7:
[3] wtg,#familymedicine [3] #familymedicine,multiple [3] multiple,awards [3] awards,teaching [3] teaching,coaching [3] coaching,uwsmph [3] uwsmph,triumph [3] triumph,#medstudents [3] #medstudents,appropriate [3] appropriate,#superheroday Top Word Pairs in Tweet in G8:
[10] education,heart_bmj [10] heart_bmj,approach [10] approach,narrow [10] narrow,complex [10] complex,tachycardia [10] tachycardia,non [10] non,invasively [10] invasively,#medtwitter [10] #medtwitter,#internalmedicine [10] #internalmedicine,#familymedicine Top Word Pairs in Tweet in G9:
[8] co,chief [8] chief,dr [8] dr,manger [8] manger,streets [8] streets,cleveland [8] cleveland,screening [8] screening,unsheltered [8] unsheltered,rest [8] rest,metro [8] metro,team Top Word Pairs in Tweet in G10:
[4] finished,project [4] project,promised [4] promised,#familymedicine [4] #familymedicine,interns [4] interns,please [4] please,read [4] read,caveats [4] caveats,those [4] those,start [4] start,ed Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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: