The graph represents a network of 881 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 Friday, 06 December 2019 at 08:17 UTC.
The requested start date was Friday, 06 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 22-hour, 33-minute period from Friday, 22 November 2019 at 01:36 UTC to Friday, 06 December 2019 at 00:10 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 : 881
Unique Edges : 1280
Edges With Duplicates : 738
Total Edges : 2018
Number of Edge Types : 3
Tweet : 302
Mentions : 1697
Replies to : 19
Self-Loops : 302
Reciprocated Vertex Pair Ratio : 0.0378787878787879
Reciprocated Edge Ratio : 0.072992700729927
Connected Components : 120
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 534
Maximum Edges in a Connected Component : 1443
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.8368
Graph Density : 0.00176710349809101
Modularity : 0.553433
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 881 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 Friday, 06 December 2019 at 08:17 UTC.
The requested start date was Friday, 06 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 22-hour, 33-minute period from Friday, 22 November 2019 at 01:36 UTC to Friday, 06 December 2019 at 00:10 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:
[89] enricomolinari,#ehealth [80] ty,mashable [80] mashable,enricomolinari [76] #fintech,#finserv [74] #fashion,#theme [70] enricomolinari,#ai [69] raise,hand [69] hand,use [69] use,ty [69] #ehealth,#design Top Word Pairs in Tweet in G1:
[85] enricomolinari,#ehealth [74] ty,mashable [74] mashable,enricomolinari [71] #fintech,#finserv [67] enricomolinari,#ai [66] raise,hand [66] hand,use [66] use,ty [66] #ehealth,#design [66] #design,#wearables Top Word Pairs in Tweet in G2:
[47] fashion,tech [16] #innovation,#future [15] antwerp,fashion [14] fashion,industry [11] mine,excited [11] excited,read [11] read,unfolding [11] unfolding,fashion [11] tech,book [11] book,mtoeters Top Word Pairs in Tweet in G3:
[26] #ledribbon,#dyi [26] #dyi,#tutorial [26] #tutorial,#steam [26] #steam,#stem [26] #stem,rosesoma88 [26] rosesoma88,#fashiontech [16] #fashiontech,#futureoffashion [16] #wearables,#iot [14] love,#fashiontech [14] #fashiontech,check Top Word Pairs in Tweet in G4:
[9] future,fashion [7] steube,future [5] nyfw,ss20 [5] fashion,outfits [5] outfits,displays [5] displays,becoming [5] becoming,more [5] more,popular [5] popular,high [5] high,end Top Word Pairs in Tweet in G5:
[7] #fashiontech,finder [6] #futureoffashion,#fashiontech [6] fashion,tech [5] #digitalfashion,#futureoffashion [5] finder,#fashiontech [4] guys,third [4] third,person [4] person,tl [4] tl,jacket [4] jacket,10k Top Word Pairs in Tweet in G6:
[19] hard,rock [19] florida,ty [19] ty,startupselfieco [19] startupselfieco,enricomolinari [18] enricomolinari,hard [18] rock,opens [18] opens,guitar [18] guitar,shaped [18] shaped,hotel [18] hotel,florida Top Word Pairs in Tweet in G7:
[14] saint,marcel [14] marcel,lès [14] lès,valence [14] valence,vegas [14] vegas,euveka_ [14] euveka_,imposé [14] imposé,comme [14] comme,ambassadrice [14] ambassadrice,#fashiontech [13] cedric_o,saint Top Word Pairs in Tweet in G8:
[22] handy,#boston [22] #boston,#winteriscoming [22] #winteriscoming,#winter [22] #winter,#winterwonderland [22] #winterwonderland,#fashiontrends [22] #fashiontrends,#fashiontech [21] evankirstel,handy [2] cool,imagine [2] imagine,change [2] change,shoe Top Word Pairs in Tweet in G9:
[74] #fashion,#theme [67] wallpaper,modern [67] modern,art [67] art,medium [67] medium,private [67] private,edition [62] #theme,#luxuryart [59] radim_kacer,monarch [57] edition,coming [57] coming,soon Top Word Pairs in Tweet in G10:
[13] walo,print [10] released,walo [10] print,resulting [10] resulting,linear [10] linear,quadratic [10] quadratic,absolute [10] absolute,value [10] value,functions [10] functions,algebra [10] algebra,ii Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
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:
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Top Tweeters in G3:
Top Tweeters in G4:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: