Results 21 to 30 of about 1,368 (56)
On the push&pull protocol for rumour spreading
, 2015 The asynchronous push&pull protocol, a randomized distributed algorithm for spreading a rumour in a graph $G$, works as follows. Independent Poisson clocks of rate 1 are associated with the vertices of $G$.
Berger N. +5 more
core +1 more source
Influence of Information Blocking on the Spread of Virus in Multilayer Networks. [PDF]
Entropy (Basel), 2023 Wątroba P, Bródka P.
europepmc +2 more sources
Large scale crowdsourcing and characterization of Twitter abusive behavior [PDF]
, 2018 In recent years online social networks have suffered an increase in sexism, racism, and other types of aggressive and cyberbullying behavior, often manifesting itself through offensive, abusive, or hateful language.
Blackburn, Jeremy +8 more
core
Correlation Clustering with Low-Rank Matrices
, 2017 Correlation clustering is a technique for aggregating data based on qualitative information about which pairs of objects are labeled 'similar' or 'dissimilar.' Because the optimization problem is NP-hard, much of the previous literature focuses on ...
Arthur D. +7 more
core +1 more source
Greedy Maximization Framework for Graph-based Influence Functions
, 2016 The study of graph-based submodular maximization problems was initiated in a seminal work of Kempe, Kleinberg, and Tardos (2003): An {\em influence} function of subsets of nodes is defined by the graph structure and the aim is to find subsets of seed ...
Cohen, Edith
core +1 more source
Evolution of Directed Triangle Motifs in the Google+ OSN [PDF]
, 2015 Motifs are a fundamental building block and distinguishing feature of networks. While characteristic motif distribution have been found in many networks, very little is known today about the evolution of network motifs.
Feldmann, A +4 more
core +2 more sources
Networked SIS Epidemics with Awareness
, 2016 We study an SIS epidemic process over a static contact network where the nodes have partial information about the epidemic state. They react by limiting their interactions with their neighbors when they believe the epidemic is currently prevalent. A node'
Eksin, Ceyhun +3 more
core +1 more source
, 2014 Unveiling the community structure of networks is a powerful methodology to comprehend interconnected systems across the social and natural sciences. To identify different types of functional modules in interaction data aggregated in a single network ...
Arenas, Alex +3 more
core +2 more sources
backbone: An R package to extract network backbones. [PDF]
PLoS One, 2022 Neal ZP.
europepmc +1 more source
Opinion-Based Centrality in Multiplex Networks: A Convex Optimization Approach
, 2017 Most people simultaneously belong to several distinct social networks, in which their relations can be different. They have opinions about certain topics, which they share and spread on these networks, and are influenced by the opinions of other persons.
Labatut, Vincent +1 more
core +1 more source