The graph represents a network of 1,984 Twitter users whose tweets in the requested range contained "#frenchTech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 06 April 2021 at 01:34 UTC.
The requested start date was Tuesday, 06 April 2021 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, 18-hour, 29-minute period from Tuesday, 23 March 2021 at 01:47 UTC to Monday, 05 April 2021 at 20:16 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 : 1984
Unique Edges : 2785
Edges With Duplicates : 11373
Total Edges : 14158
Number of Edge Types : 5
Retweet : 4234
MentionsInRetweet : 7609
Mentions : 1666
Replies to : 82
Tweet : 567
Self-Loops : 1007
Reciprocated Vertex Pair Ratio : 0.0333561800319854
Reciprocated Edge Ratio : 0.0645589210700862
Connected Components : 203
Single-Vertex Connected Components : 96
Maximum Vertices in a Connected Component : 1520
Maximum Edges in a Connected Component : 13514
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.144056
Graph Density : 0.00114964089925658
Modularity : 0.257351
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 1,984 Twitter users whose tweets in the requested range contained "#frenchTech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 06 April 2021 at 01:34 UTC.
The requested start date was Tuesday, 06 April 2021 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, 18-hour, 29-minute period from Tuesday, 23 March 2021 at 01:47 UTC to Monday, 05 April 2021 at 20:16 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 : #frenchTech
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:
[2591] #bigdata,#uk [2540] #uk,#linkedin [2350] #supplychain,#women [2328] #linkedin,#supplychain [2311] #women,#insurtech [2232] #insurtech,#usa [1336] #usa,#socialmedia [1005] #socialmedia,#iiot [916] #iot,#tech [819] #iiot,#iot Top Word Pairs in Tweet in G1:
[82] #frenchtech,doit [63] investisseuse,entrepreneuse [63] entrepreneuse,codeuse [63] codeuse,prochaine [63] prochaine,génération [63] génération,#frenchtech [63] doit,être [63] être,plus [63] plus,féminine [63] féminine,ambition Top Word Pairs in Tweet in G2:
[1671] #bigdata,#uk [1631] #uk,#linkedin [1486] #linkedin,#supplychain [1486] #supplychain,#women [1420] #women,#insurtech [1367] #insurtech,#usa [680] #usa,#socialmedia [462] #socialmedia,#iiot [397] #iot,#tech [338] dailymail,#bigdata Top Word Pairs in Tweet in G3:
[872] #bigdata,#uk [861] #uk,#linkedin [843] #women,#insurtech [821] #supplychain,#women [820] #insurtech,#usa [799] #linkedin,#supplychain [632] #usa,#socialmedia [524] #socialmedia,#iiot [511] #iot,#tech [487] #iiot,#iot Top Word Pairs in Tweet in G4:
[178] #startup,#frenchtech [48] sebbourguignon,#portraitdestartuper [29] #women,#insurtech [27] #bigdata,#uk [27] #uk,#linkedin [27] #insurtech,#usa [24] #linkedin,#supplychain [24] #supplychain,#women [20] lelabrh,#startup [13] edfofficiel,#startup Top Word Pairs in Tweet in G5:
[15] #startup,#frenchtech [11] millions,d'euros [11] levée,fonds [11] #frenchtech,#actu [10] d'euros,#startup [8] #frenchtech,#startup [5] ici,#frenchtech [5] lève,millions [4] famille,fintech [4] fintech,demande Top Word Pairs in Tweet in G6:
[43] #frenchtech,#bordeaux [9] rencontre,échanges [9] échanges,adi_n_a [9] adi_n_a,#frenchtech [9] #bordeaux,accélérer [9] accélérer,collaborations [9] banquedefrance,joinstationf [8] #bordeaux,bxmetro [8] décrypter,cahier [8] cahier,charges Top Word Pairs in Tweet in G7:
[14] #nightreplay,#frenchtech [13] ont,fait [11] #intelligenceartificielle,#ia [10] bravo,startups [10] startups,ont [10] fait,rayonner [10] rayonner,#cotedazurfrance [10] #cotedazurfrance,#southbysouthwest [10] #southbysouthwest,phygital [10] phygital,forum Top Word Pairs in Tweet in G8:
[34] #frenchtech,pourquoi [34] pourquoi,géants [34] géants,verront [34] verront,jour [34] jour,malgré [34] malgré,dizaine [34] dizaine,licornes [34] licornes,écosystème [34] écosystème,start [34] start,décolle Top Word Pairs in Tweet in G9:
[24] #disruption,#blockchain [21] #fintech,#vc [20] #blockchain,#fintech [20] tomorrow,hadrien [20] hadrien,zerah [20] zerah,adoption [20] adoption,manager [20] manager,invited [20] invited,delf1 [20] delf1,#smarttech Top Word Pairs in Tweet in G10:
[12] où,investir [8] 100,start [7] sélection,100 [7] investir,2021 [6] fait,partie [6] partie,100 [6] fairly,made [6] made,apprêtés [6] apprêtés,madamepee_fr [6] madamepee_fr,ipaidthat Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G7:
Top Replied-To in G9:
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: