#### Filter Results:

- Full text PDF available (15)

#### Publication Year

2013

2017

- This year (4)
- Last 5 years (20)
- Last 10 years (20)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

- Luca Becchetti, Andrea E. F. Clementi, Emanuele Natale, Francesco Pasquale, Riccardo Silvestri, Luca Trevisan
- Distributed Computing
- 2014

We study a <i>Plurality Consensus</i> process in which each of <i>n</i> anonymous agents of a communication network supports an initial opinion (a colorchosen from a finite set [<i>k</i>]) and, at every time step, he can revise his color according to a random sample of neighbors.
The goal (of the agents) is to let the process converge to the <i>stable</i>… (More)

We consider the following distributed consensus problem: Each node in a complete communication network of size n initially holds an opinion, which is chosen arbitrarily from a finite set Σ. The system must converge toward a consensus state in which all, or almost all nodes, hold the same opinion. Moreover, this opinion should be valid, i.e., it should be… (More)

- Lucas Boczkowski, Amos Korman, Emanuele Natale
- SODA
- 2017

This paper considers the basic PULL model of communication, in which in each round, each agent extracts information from few randomly chosen agents. We seek to identify the smallest amount of information revealed in each interaction (message size) that nevertheless allows for efficient and robust computations of fundamental information dissemination tasks.… (More)

We study the following synchronous process that we call repeated balls-into-bins. The process is started by assigning n balls to n bins in an arbitrary way. Then, in every subsequent round, one ball is chosen according to some fixed strategy (random, FIFO, etc) from each non-empty bin, and re-assigned to one of the n bins uniformly at random. This process… (More)

- Michele Borassi, Emanuele Natale
- ESA
- 2016

We present KADABRA, a new algorithm to approximate betweenness centrality in directed and undirected graphs, which significantly outperforms all previous approaches on real-world complex networks. The efficiency of the new algorithm relies on two new theoretical contribution, of independent interest. The first contribution focuses on sampling shortest… (More)

We study Plurality Consensus in the GOSSIP Model over a network of n anonymous agents. Each agent supports an initial opinion or color. We assume that at the onset, the number of agents supporting the plurality color exceeds that of the agents supporting any other color by a sufficiently-large bias, though the initial plurality itself might be very far from… (More)

- Andrea E. F. Clementi, Miriam Di Ianni, Giorgio Gambosi, Emanuele Natale, Riccardo Silvestri
- Theor. Comput. Sci.
- 2015

- Luciano Gualà, Stefano Leucci, Emanuele Natale
- 2014 IEEE Conference on Computational…
- 2014

The twenty-first century has seen the rise of a new type of video games targeted at a mass audience of “casual” gamers. Many of these games require the player to swap items in order to form matches of three and are collectively known as tile-matching match-three games. Among these, the most influential one is arguably Bejeweled in which the… (More)

Given an underlying network, the averaging dynamics is the following distributed process: Initially, each node sets its local value to an element of {−1, 1}, uniformly at random and independently of other nodes. Then, in each consecutive round, every node updates its value to the average of its neighbors. We show that when the graph is organized into two… (More)