The graph represents a network of 999 Twitter users whose tweets in the requested range contained "fashiontech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 03 September 2020 at 05:27 UTC.
The requested start date was Thursday, 03 September 2020 at 00:01 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, 21-hour, 47-minute period from Thursday, 20 August 2020 at 00:05 UTC to Wednesday, 02 September 2020 at 21:52 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 : 999
Unique Edges : 1496
Edges With Duplicates : 2825
Total Edges : 4321
Number of Edge Types : 5
Retweet : 1068
MentionsInRetweet : 2352
Mentions : 601
Tweet : 287
Replies to : 13
Self-Loops : 307
Reciprocated Vertex Pair Ratio : 0.0336976320582878
Reciprocated Edge Ratio : 0.0651982378854626
Connected Components : 99
Single-Vertex Connected Components : 52
Maximum Vertices in a Connected Component : 773
Maximum Edges in a Connected Component : 3941
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.262434
Graph Density : 0.00227682592412051
Modularity : 0.36672
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 999 Twitter users whose tweets in the requested range contained "fashiontech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 03 September 2020 at 05:27 UTC.
The requested start date was Thursday, 03 September 2020 at 00:01 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, 21-hour, 47-minute period from Thursday, 20 August 2020 at 00:05 UTC to Wednesday, 02 September 2020 at 21:52 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 : fashiontech
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:
[171] #ai,#iot [116] #wearables,#iot [99] #ai,#fintech [98] #marketing,#ai [93] #fashiontech,#retailtech [91] #iot,#ai [83] #fashiontech,#wearables [75] future,#fashion [75] #fashion,robe [75] robe,#style Top Word Pairs in Tweet in G1:
[81] #ai,#iot [49] ty,wef [48] wef,enricomolinari [46] #marketing,#fintech [44] #marketing,#ai [33] #blockchain,#marketing [33] #drones,plant [33] plant,100 [33] 100,000 [33] 000,trees Top Word Pairs in Tweet in G2:
[54] #fashiontech,#retailtech [35] #retailtech,#wearables [35] #wearables,#360fashion [35] #360fashion,read [35] #ai,#iot [34] read,aninanet [33] 注目記事ピックアップ,#fashiontechnews [32] #ファッションテック,#fashiontech [32] #fashiontech,#zozotech [32] #zozotech,#ファッションビジネス Top Word Pairs in Tweet in G3:
[34] #science,#engineering [32] days,left [32] left,protect [32] protect,privacy [32] privacy,join [32] join,npc [32] npc,#webinar [32] #webinar,information [32] information,security [32] security,management Top Word Pairs in Tweet in G4:
[64] future,#fashion [64] #fashion,robe [64] robe,#style [64] #style,#fashiontech [64] #fashiontech,#wearables [64] #wearables,#iot [64] #iot,#ai [64] #ai,#fintech [64] #fintech,#machinelearning [64] #machinelearning,#retail Top Word Pairs in Tweet in G5:
[25] #wearabletech,#fashiontech [23] #fashiontech,#healthtech [22] 360fashion,#fashiontech [22] #fashiontech,#retailtech [22] #retailtech,#wearables [22] #wearables,#360fashion [22] #360fashion,read [22] read,aninanet [20] #healthtech,#femtech [19] #wearables,#iot Top Word Pairs in Tweet in G6:
[9] odile,roujol [8] roujol,premier [8] premier,fonds [8] fonds,investir [8] investir,10 [8] 10,millions [8] millions,beautytech [6] top,reasons [6] reasons,#sissijohnson [6] #sissijohnson,face Top Word Pairs in Tweet in G7:
[27] investir,10 [27] 10,millions [18] premier,fonds [18] fonds,investir [17] experte,reconnue [17] reconnue,industrie [17] industrie,luxe [17] luxe,beauté [17] beauté,odile_roujol [17] odile_roujol,vient Top Word Pairs in Tweet in G8:
[12] mtv,vma [12] vma,2020 [12] #vmas,#ladygaga [11] #ladygaga,#fashiontech [10] lady,gaga [8] fashion,tech [7] iris,herpen [7] 2020,mtv [7] mtv,vmas [7] odile,roujol Top Word Pairs in Tweet in G9:
[25] fashiontechメディアでの編集アシスタントを探しています,私と一緒にfashiontechnewsを支えてくれる方 [25] 私と一緒にfashiontechnewsを支えてくれる方,いませんか [25] いませんか,お問い合わせ [25] お問い合わせ,ぜひお待ちしていますー [25] ぜひお待ちしていますー,#bosyu [24] fjkdiet,fashiontechメディアでの編集アシスタントを探しています Top Word Pairs in Tweet in G10:
[8] see,masks [8] masks,bluetooth [8] bluetooth,microphone [8] microphone,nd [8] nd,accelerometer [8] accelerometer,fashiontech [8] fashiontech,pandemic [8] pandemic,#cliumask [7] ksravishankar2,see [6] great,piece Top Replied-To in Entire Graph:
Top Replied-To in G2:
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: