20 citations · 56 across the 9 of their papers we have counts for
9 papers
Guided Graph Generation: Evaluation of Graph Generators in Terms of Network Statistics, and a New Algorithm
Jérôme Kunegis, Jun Sun, Eiko Yoneki
We consider the problem of graph generation guided by network statistics, i.e., the generation of graphs which have given values of various numerical measures that characterize net…
SynGraphy: Succinct Summarisation of Large Networks via Small Synthetic Representative Graphs
Jérôme Kunegis, Pawan Kumar, Jun Sun +2
We describe SynGraphy, a method for visually summarising the structure of large network datasets that works by drawing smaller graphs generated to have similar structural propertie…
Does the First Mover Advantage Exist on GitHub?
Aditya Mehta, Arun Paudyal, Atul Sharma +5
Collaborative consensus-finding is an integral element of many Web services and greatly determines the quality of information, content, and products that are available through the…
Time-invariant degree growth in preferential attachment network models
Jun Sun, Matúš Medo, Steffen Staab
Preferential attachment drives the evolution of many complex networks. Its analytical studies mostly consider the simplest case of a network that grows uniformly in time despite th…
Understanding Social Networks using Transfer Learning
Jun Sun, Steffen Staab, Jérôme Kunegis
A detailed understanding of users contributes to the understanding of the Web's evolution, and to the development of Web applications. Although for new Web platforms such a study i…
Decay of Relevance in Exponentially Growing Networks
Jun Sun, Steffen Staab, Fariba Karimi
We propose a new preferential attachment-based network growth model in order to explain two properties of growing networks: (1) the power-law growth of node degrees and (2) the dec…