The graph represents a network of 268 Twitter users whose tweets in the requested range contained "svforum", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 23 September 2020 at 04:50 UTC.
The requested start date was Wednesday, 23 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 82-day, 23-hour, 37-minute period from Wednesday, 01 July 2020 at 21:43 UTC to Tuesday, 22 September 2020 at 21:21 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 : 268
Unique Edges : 297
Edges With Duplicates : 670
Total Edges : 967
Number of Edge Types : 5
Mentions : 341
Retweet : 200
MentionsInRetweet : 346
Replies to : 23
Tweet : 57
Self-Loops : 60
Reciprocated Vertex Pair Ratio : 0.0709382151029748
Reciprocated Edge Ratio : 0.132478632478632
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 263
Maximum Edges in a Connected Component : 961
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.737883
Graph Density : 0.00654033204762703
Modularity : 0.325799
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 268 Twitter users whose tweets in the requested range contained "svforum", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 23 September 2020 at 04:50 UTC.
The requested start date was Wednesday, 23 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 82-day, 23-hour, 37-minute period from Wednesday, 01 July 2020 at 21:43 UTC to Tuesday, 22 September 2020 at 21:21 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 : svforum
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:
[21] covid,19 [19] early,stage [16] apply,pitch [15] women,tech [15] #svfcyber,#cybersecurity [15] #cybersecurity,threats [14] tech,festival [14] silicon,valley [14] virtual,stage [13] virtual,event Top Word Pairs in Tweet in G1:
[17] early,stage [15] covid,19 [15] apply,pitch [14] #svfcyber,#cybersecurity [12] pitch,event [11] virtual,stage [10] #cybersecurity,#cyberinsurance [10] women,tech [10] virtual,event [9] tech,festival Top Word Pairs in Tweet in G2:
[4] editors,list [4] today,#tech [4] #tech,#business [4] #business,events [3] list,#sf [3] #sf,#siliconvalley [3] #siliconvalley,today [3] events,productscount [3] productscount,columbiavc [3] besteventsintheus,list Top Word Pairs in Tweet in G3:
[5] svforum,one [4] women,tech [4] tech,festival [4] svforum,made [4] svforum,seen [4] seen,zipcar [4] zipcar,last [4] last,few [4] few,months [4] months,roaring Top Word Pairs in Tweet in G4:
[11] protect,business [11] business,#cybersecurity [11] #cybersecurity,threats [11] threats,latest [11] latest,insights [11] insights,wipro's [11] wipro's,biplab [11] biplab,adhya [11] adhya,experts [9] wipro,protect Top Word Pairs in Tweet in G6:
[4] svforum,chrisyeh [3] svforum,employers [3] employers,need [3] need,think [3] think,parents [3] parents,children [3] children,servicenow [3] servicenow,bringing [3] bringing,resources [3] resources,tools Top Word Pairs in Tweet in G7:
[8] founder,institute [8] virtual,program [5] final,deadline [5] deadline,first [5] first,online [5] online,cohort [5] silicon,valley [5] valley,founder [5] institute,sunday [5] sunday,apply Top Word Pairs in Tweet in G8:
[3] svforum,miss [3] miss,leading [3] leading,ladies [3] jingbrewer,accenture [3] accenture,ventures [3] ventures,shelly [3] shelly,shatterfund [3] shatterfund,michelle [3] michelle,messina [3] messina,explora Top Word Pairs in Tweet in G9:
[5] mirada,silicon [5] silicon,valley [5] valley,forum [5] forum,agtech [5] agtech,tiempos [5] tiempos,covid [5] covid,cambió [5] cambió,futuro [5] futuro,demanda [4] fundacion_cedef,mirada Top Word Pairs in Tweet in G10:
[2] video,svforum's [2] svforum's,#fintech [2] #fintech,event [2] event,watch [2] watch,dominic_w [2] dominic_w,#blockchain [2] #blockchain,#decentralized Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: