Top Tweets for #influencemaximization
#InfluenceMaximization in #social #networks:
max the num of total/organic views, or use a choice model
Our article with @kahr_michael and @maleitner
"The impact of passive social media viewers in influence maximization"
https://t.co/TB0plb489W
to appear in @INFORMS JOC

Presenting a hybrid algorithm able to find influential groups of users in: “Boosting a Genetic Algorithm with #GraphNeuralNetworks for Multi-Hop #InfluenceMaximization in Social Networks” by CC Sartori, C. Blum. @FedCSIS 2022, ACSIS Vol. 30 p. 363–371; https://t.co/NDk8na6iS7

Wow I've never been cited so much in a single paper, 3 of my recent works are cited on this paper! :))
https://t.co/KjSou7L3za
#influencemaximization

[Article] Multi-Winner Election Control via Social Influence: Hardness and Algorithms for Restricted Cases
Full #openaccess @ https://t.co/QqAJVjiJVn
#computationalsocialchoice
#electioncontrol
#multiwinnerelection
#socialinfluence
#influencemaximization
#algorithms
![Algorithms_MDPI's tweet photo. [Article] Multi-Winner Election Control via Social Influence: Hardness and Algorithms for Restricted Cases
Full #openaccess @ https://t.co/QqAJVjiJVn
#computationalsocialchoice
#electioncontrol
#multiwinnerelection
#socialinfluence
#influencemaximization
#algorithms https://t.co/eO56Yl1KYi](https://pbs.twimg.com/media/EmBbG2-VcAEESm2.png)
New paper submitted after conditional acceptance, fingers crossed. #networkscience #criticality #ArtificialIntelligence
#machinelearning #deeplearning #statisticallearning #cascades #influencemaximization #neuronalavalanches

Congratulations to Ms. @ysinjana for the successful #PhD Synopsis Seminar on the topic “Influence Maximization Through #SocialNetworks and Minimizing the Cost Incurred in the Last Mile Delivery".
#InfluenceMaximization
#CostMinimization
#Last_Mile_Delivery

And finally it is online :) An efficient linear programming based method for the influence maximiz... https://t.co/Fn9k7qwd6H #orms #influencemaximization
Finally my work is accepted to be published in Information Sciences . I think it will be a helpful guide on researchers working on #InfluenceMaximization with lots of examples and detailed explanations to the basics. Here is the #preprint link https://t.co/rSdOvm2yLk #orms
Check out the list of Influence Maximization and Influence Learning papers compiled by our PhD student @georgepanago5!
#MachineLearning #NetworkScience #InfluenceMaximization #InfluencerMarketing
I gathered a list of influence maximization and influence learning papers in a git page for reference https://t.co/7GUZJgv2pG
A nice work on a nice journal citing my work :))
ComBIM: A community-based solution approach for the Budgeted Influence... https://t.co/KLtqWK1EfR
#orms #influencemaximization
It is exciting too see your own name on Google Scholar Alerts :) by the way GSA is a great tool to follow your favourite topics #orms #influencemaximization

It is really satisfying to watch when the upper and lower bounds of your code converge :) #orms #influencemaximization problem

The list of the datasets used in some of the most popular #influencemaximization papers.
Mostly from https://t.co/n85qHSFHtD

@FrancescoBonchi “Response” from the authors: https://t.co/aR8PoMCiGM providing a different perspective to this refutation!
#influencemaximization, #sigmod17
Interesting "refutations" paper https://t.co/ra3rGs8VHB #InfluencerMarketing #influencemaximization #algorithms
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