The graph represents a network of 18,673 Twitter users whose recent tweets contained "#WorldAIDSDay", 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, 04 December 2019 at 05:05 UTC.
The tweets in the network were tweeted over the 1-day, 15-hour, 22-minute period from Monday, 02 December 2019 at 12:37 UTC to Wednesday, 04 December 2019 at 04:00 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 : 18673
Unique Edges : 28645
Edges With Duplicates : 5855
Total Edges : 34500
Self-Loops : 3316
Reciprocated Vertex Pair Ratio : 0.0187868058817154
Reciprocated Edge Ratio : 0.0368807404517891
Connected Components : 2097
Single-Vertex Connected Components : 484
Maximum Vertices in a Connected Component : 11685
Maximum Edges in a Connected Component : 24977
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.089889
Graph Density : 8.08776961507414E-05
Modularity : 0.759321
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 18,673 Twitter users whose recent tweets contained "#WorldAIDSDay", 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, 04 December 2019 at 05:05 UTC.
The tweets in the network were tweeted over the 1-day, 15-hour, 22-minute period from Monday, 02 December 2019 at 12:37 UTC to Wednesday, 04 December 2019 at 04:00 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 : #WorldAIDSDay
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:
[4560] hiv,aids [3438] living,hiv [2337] those,lost [1704] everyone,living [1675] stand,everyone [1673] aids,honor [1672] lost,#worldaidsday [1240] honor,those [1204] today,stand [1200] #worldaidsday,whitehouse Top Word Pairs in Tweet in G1:
[306] living,hiv [303] hiv,aids [282] people,living [199] #wad2019,#worldaidsday [186] #nhmahiv,#wad2019 [140] fight,against [131] living,#hiv [125] make,difference [124] today,#worldaidsday [117] communities,make Top Word Pairs in Tweet in G2:
[1849] hiv,aids [1667] living,hiv [1663] those,lost [1655] stand,everyone [1654] aids,honor [1646] everyone,living [1646] lost,#worldaidsday [1186] #worldaidsday,whitehouse [1184] today,stand [1184] honor,those Top Word Pairs in Tweet in G3:
[422] hiv,aids [279] living,hiv [156] around,world [153] those,living [153] #worldaidsday,remember [140] six,weeks [140] weeks,age [127] today,#worldaidsday [112] care,need [102] aids,epidemic Top Word Pairs in Tweet in G4:
[512] here,s [512] s,joe [512] joe,biden [512] biden,s [512] s,cringeworthy [512] cringeworthy,take [512] take,black [512] black,men [512] men,need [512] need,condoms Top Word Pairs in Tweet in G5:
[163] people,living [120] living,hiv [118] stigma,discrimination [86] living,#hiv [82] hiv,aids [60] million,people [57] #worldaidsday,approximately [57] approximately,37 [57] 37,9 [57] 9,million Top Word Pairs in Tweet in G6:
[65] hiv,aids [53] aids,day [52] world,aids [27] living,hiv [19] #worldaidsday,#worldaidsday2019 [18] people,living [17] yesterday,#worldaidsday [15] #worldaidsday,#womanof1325 [14] fight,against [14] those,lost Top Word Pairs in Tweet in G7:
[117] fight,aids [108] aids,africa [101] #endaids,#worldaidsday [62] through,12 [62] 12,31 [62] 31,19 [53] fight,against [50] end,aids [49] continue,fight [49] against,aids Top Word Pairs in Tweet in G8:
[64] hiv,aids [44] living,hiv [40] care,#worldaidsday [32] honor,#worldaidsday [32] cases,#hiv [31] last,year [31] world,aids [31] aids,day [30] hiv,epidemic [30] new,cases Top Word Pairs in Tweet in G9:
[278] म,र [273] ब,म [269] एड,स [253] त,म [247] म,क [239] क,ल [237] ल,ए [198] क,प [192] क,ब [179] र,स Top Word Pairs in Tweet in G10:
[46] hiv,aids [27] aids,day [25] world,aids [22] people,living [21] fight,against [19] young,people [18] #wad2019,#worldaidsday [17] against,hiv [16] living,hiv [14] know,status Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: