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#iconohash presents #phdchat

Scroll down for the #phdchat conversation report for November 4th, 2020 EST.

iconohash

the world's conversation archive

#phdchat for November 4th, 2020 EST

01
3rd

coming together

When it comes to participants, we ranked 3rd among 230 conversations.

3rd

participating

In terms of the number of posts, we ranked 3rd out of 230 conversations that took place.

2nd

amplification

This conversation ranked 2nd out of 230 in terms of the amplification of ideas & content.

how we participated. Here's how participants reacted & engaged each other

Reactions
78%

Amplified

There were 346 reshares, 78% of posts, during the course of the conversation.

0%

Engaged

0% of participants in this conversation engaged each other 0 times.

10%

Content

10% of participants in this conversation shared a total of 11 unique pieces of content.

quick facts.

Here are the basic facts of the conversation for for November 4th, 2020.

0
Active
Participants
0
Posts
Total

meet the influencers the movers and shakers of #phdchat

02

the top of the list. Top influencers in the chat

IMPACT
@OpenAcademics

@OpenAcademics

OpenAcademics
Twitter community to support fellow academics across all disciplines. @OpenAcademics for RT. #DiversityandInclusion #MentalHealth #OAposter

@joanneXaugust

@joanneXaugust

Joanne August
bibliophile unicorn

@ProofItEditing

@ProofItEditing

Rachael Lammie
Freelance Editor

about the participants. let's take a look at everyone who show'd up

03

top professions what are they doing when they're not in #phdchat

insight

  the top participating professions
out of 56 total

research
writer
professor
academic
editor

gender an estimation of what the gender break down looks like
= 1 men or women

insight

Women

Men

about the content. the best content that was shared

04
#whisperfest 2020 – The Thesis Whisperer
The Research Whisperer blog has the tagline ‘Just like the Thesis Whisperer, but with more money’. A lot of people ask me if The Research Whisperer is one of my aliases or a group of pe…
Spatial clustering and modelling for landslide susceptibility mapping in the north of the Kathmandu Valley, Nepal | SpringerLink
In this article, we propose and test alternative sampling strategies based on clustering distribution concepts to increase the efficiency of the landslide susceptibility model outcomes, instead of common random selection method for training and testing samples. To that end, we prepared a comprehensive landslide inventory and used six unsupervised clustering algorithms (K-means, K-medoids, hierarchical cluster (HC) analysis, expectation–maximization using Gaussian mixture models (EM/GMM), affinit
getting into writing – again | patter
I usually don’t have a lot of trouble writing. I’m lucky I know, but my capacity to just get on with writing is also because I’ve got a lifetime writing habit. However, even the most hardy of…

chat growth how is #phdchat growing over time?

05

want more? are you interested in the full data analysis for this chat? Full transcript? Longer view at chat growth?

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