The graph represents a network of 1,000 Twitter users whose tweets in the requested range contained "StephaneNappo", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 February 2020 at 18:03 UTC.
The requested start date was Monday, 17 February 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 12-day, 17-hour, 17-minute period from Sunday, 02 February 2020 at 07:42 UTC to Saturday, 15 February 2020 at 01:00 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 : 1000
Unique Edges : 3004
Edges With Duplicates : 9195
Total Edges : 12199
Number of Edge Types : 4
MentionsInRetweet : 9928
Mentions : 2207
Tweet : 17
Replies to : 47
Self-Loops : 17
Reciprocated Vertex Pair Ratio : 0.0219202104340202
Reciprocated Edge Ratio : 0.0429000429000429
Connected Components : 12
Single-Vertex Connected Components : 10
Maximum Vertices in a Connected Component : 988
Maximum Edges in a Connected Component : 12192
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.885662
Graph Density : 0.00466666666666667
Modularity : 0.257885
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 1,000 Twitter users whose tweets in the requested range contained "StephaneNappo", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 February 2020 at 18:03 UTC.
The requested start date was Monday, 17 February 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 12-day, 17-hour, 17-minute period from Sunday, 02 February 2020 at 07:42 UTC to Saturday, 15 February 2020 at 01:00 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 : GraphServerTwitterSearch
Graph Term : StephaneNappo
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:
[935] #security,#cybersecurity [666] #cybersecurity,typical [666] typical,situation [666] situation,company [666] company,handling [666] handling,cybersecurity [666] cybersecurity,longer [666] longer,#ciso's [666] #ciso's,responsibility [623] years,ago Top Word Pairs in Tweet in G1:
[842] #security,#cybersecurity [645] #cybersecurity,typical [645] typical,situation [645] situation,company [645] company,handling [645] handling,cybersecurity [645] cybersecurity,longer [645] longer,#ciso's [645] #ciso's,responsibility [585] years,ago Top Word Pairs in Tweet in G2:
[59] #mwc20,cc [53] #ai,#machinelearning [44] #security,#cybersecurity [39] forbes,cc [39] ipfconline1,#ai [34] cc,tamaramccleary [34] wef,mikequindazzi [33] #machinelearning,#deeplearning [31] #cybersecurity,cc [30] introduction,unity Top Word Pairs in Tweet in G3:
[66] ronald_vanloon,scaniagroup [65] scaniagroup,axl [65] axl,fully [65] fully,#autonomous [65] #autonomous,tipper [65] tipper,smart [65] smart,truck [65] truck,future [65] future,startupselfieco [65] startupselfieco,#iot Top Word Pairs in Tweet in G4:
[40] #security,#cybersecurity [31] eyes,road [30] virtual,display [30] display,monitor [30] monitor,syncs [30] syncs,phone [30] phone,#gps [30] #gps,keep [30] keep,eyes [29] ten,commandments Top Word Pairs in Tweet in G5:
[6] fredgouth,virtualegis [6] virtualegis,yassirkazar [6] yassirkazar,ericfreyss [6] ericfreyss,fabianrodes [6] fabianrodes,clusiraqui [6] clusiraqui,gquenet [6] gquenet,cybercercle [6] cybercercle,stephanenappo [6] stephanenappo,contactnystek [6] gbillois,nono2357 Top Word Pairs in Tweet in G6:
[2] inviting,best [2] best,best [2] best,hope [2] hope,see [2] see,few [2] few,hours [2] hours,cc [2] cc,sbmeunier [2] sbmeunier,schneierblog Top Word Pairs in Tweet in G8:
[3] delighted,attend [3] attend,third [3] third,party [3] party,#cybersecurity [3] #cybersecurity,summit [3] summit,lisbon [3] lisbon,last [3] last,week [3] week,honoured [3] honoured,deliver Top Word Pairs in Tweet in G9:
[2] #iot,#bigdata [2] stephanenappo,50 [2] 50,example [2] example,companies [2] companies,using [2] using,#blockchain [2] #blockchain,technology [2] technology,âš [2] âš,101blockchains [2] 101blockchains,mikequindazzi Top Word Pairs in Tweet in G10:
[2] étions,très [2] très,contents [2] contents,assister [2] assister,third [2] third,party [2] party,#cybersecurity [2] #cybersecurity,summit [2] summit,lisbonne [2] lisbonne,semaine [2] semaine,dernière 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 G4:
Top Replied-To in G5:
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 G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: