activity
20122023
most citedHiding Individuals and Communities in a Social Network

209 citations · 409 across the 19 of their papers we have counts for

collaborators
Showing 2014Show all

5 papers · 1 filter

cs.MA2014★ 1 cited

Coalition Structure Generation on Graphs

Talal Rahwan, Tomasz P. Michalak

Two fundamental algorithm-design paradigms are Tree Search and Dynamic Programming. The techniques used therein have been shown to complement one another when solving the complete…

cs.AI2014

How good is the Shapley value-based approach to the influence maximization problem?

Kamil Adamczewski, Szymon Matejczyk, Tomasz P. Michalak

The Shapley value has been recently advocated as a method to choose the seed nodes for the process of information diffusion. Intuitively, since the Shapley value evaluates the aver…

cs.GT2014★ 2 cited

A Measure of Synergy in Coalitions

Talal Rahwan, Tomasz Michalak, Michael Wooldridge

When the performance of a team of agents exceeds our expectations or fall short of them, we often explain this by saying that there was some synergy in the team---either positive (…

cs.GT2014

Towards a Fair Allocation of Rewards in Multi-Level Marketing

Talal Rahwan, Victor Naroditskiy, Tomasz Michalak +2

An increasing number of businesses and organisations rely on existing users for finding new users or spreading a message. One of the widely used "refer-a-friend" mechanisms offers…

cs.GT2014★ 129 cited

Efficient Computation of the Shapley Value for Game-Theoretic Network Centrality

Tomasz Pawel Michalak, Karthik V Aadithya, Piotr L. Szczepanski +2

The Shapley value---probably the most important normative payoff division scheme in coalitional games---has recently been advocated as a useful measure of centrality in networks. H…