5 papers · 1 filter
Liars are more influential: Effect of Deception in Influence Maximization on Social Networks
Mehmet Emin Aktas, Esra Akbas, Ashley Hahn
Detecting influential users, called the influence maximization problem on social networks, is an important graph mining problem with many diverse applications such as information p…
Identifying critical higher-order interactions in complex networks
Mehmet Emin Aktas, Thu Nguyen, Sidra Jawaid +2
Information diffusion on networks is an important concept in network science observed in many situations such as information spreading and rumor controlling in social networks, dis…
Hypergraph Laplacians in Diffusion Framework
Mehmet Emin Aktas, Esra Akbas
Networks are important structures used to model complex systems where interactions take place. In a basic network model, entities are represented as nodes, and interaction and rela…
Graph Classification via Heat Diffusion on Simplicial Complexes
Mehmet Emin Aktas, Esra Akbas
In this paper, we study the graph classification problem in vertex-labeled graphs. Our main goal is to classify the graphs comparing their higher-order structures thanks to heat di…
Network Embedding: on Compression and Learning
Esra Akbas, Mehmet Aktas
Recently, network embedding that encodes structural information of graphs into a vector space has become popular for network analysis. Although recent methods show promising perfor…