The graph represents a network of 3,720 Twitter users whose recent tweets contained "(covid) AND (lockdown) OR (mental) lang:en filter:replies geocode:37.926868,-78.024902,2000mi", 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 Monday, 13 September 2021 at 14:05 UTC.
The tweets in the network were tweeted over the 8-day, 9-hour, 39-minute period from Sunday, 05 September 2021 at 04:22 UTC to Monday, 13 September 2021 at 14:02 UTC.
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.
Vertices : 3720
Unique Edges : 2735
Edges With Duplicates : 124
Total Edges : 2859
Self-Loops : 143
Reciprocated Vertex Pair Ratio : 0.000377786173026067
Reciprocated Edge Ratio : 0.000755287009063444
Connected Components : 1102
Single-Vertex Connected Components : 132
Maximum Vertices in a Connected Component : 156
Maximum Edges in a Connected Component : 184
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.661125
Graph Density : 0.000191403053775006
Modularity : 0.944958
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 3,720 Twitter users whose recent tweets contained "(covid) AND (lockdown) OR (mental) lang:en filter:replies geocode:37.926868,-78.024902,2000mi", 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 Monday, 13 September 2021 at 14:05 UTC.
The tweets in the network were tweeted over the 8-day, 9-hour, 39-minute period from Sunday, 05 September 2021 at 04:22 UTC to Monday, 13 September 2021 at 14:02 UTC.
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 : (covid) AND (lockdown) OR (mental) lang:en filter:replies geocode:37.926868,-78.024902,2000mi
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[432] mental,health [154] covid,lockdown [117] covid,19 [89] right,now [72] now,going [71] critical,issues [71] issues,paramount [71] paramount,importance [71] importance,right [71] going,dicker Top Word Pairs in Tweet in G1:
[74] mental,health [71] critical,issues [71] issues,paramount [71] paramount,importance [71] importance,right [71] right,now [71] now,going [71] going,dicker [71] dicker,guns [71] guns,fixate Top Word Pairs in Tweet in G2:
[7] mental,health [3] don,t [2] t,understand [2] different,variant [2] way,way [2] being,nurse [2] having,covid [2] mental,decline [2] decline,etc [2] dying,covid Top Word Pairs in Tweet in G3:
[2] covid,cases [2] zero132132,robinlocksley_0 [2] robinlocksley_0,scientistmel [2] level,4 Top Word Pairs in Tweet in G4:
[2] brief,lockdowns [2] crush,covid [2] last,resort [2] covid,free [2] free,states [2] mental,health [2] community,covid Top Word Pairs in Tweet in G5:
[4] mental,health [2] child,busy [2] waiting,room [2] o,toole Top Word Pairs in Tweet in G7:
[3] mental,illness [3] getting,bottom [3] mental,health [2] know,many [2] origins,covid [2] covid,19 [2] health,professional [2] everyday,day [2] day,long [2] mental,instability Top Word Pairs in Tweet in G8:
[2] ok,long [2] long,til [2] til,here [2] here,australian [2] australian,state [2] state,limits [2] limits,residents [2] residents,covid [2] lockdown,apartments [2] apartments,6 Top Word Pairs in Tweet in G9:
[2] mental,health [2] non,refundable Top Word Pairs in Tweet in G10:
[4] don,t [3] online,don [3] t,see [3] see,problem [3] problem,here [3] here,t [3] t,shove [3] shove,needle [3] needle,teachers [3] teachers,arm Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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