On the effect of very large nodes in Internet graphs. - Hannu Reittu; Ilkka Norros (GLOBECOM, 2002)

On the power-law random graph model of massive data networks. - Hannu Reittu; Ilkka Norros (Perform. Evaluation, 2004)

On Uncoordinated File Distribution with Non-altruistic Downloaders. - Ilkka Norros; Balakrishna J. Prabhu; Hannu Reittu (ITC, 2007)

Toward modeling of a single file broadcasting in a closed network. - Hannu Reittu; Ilkka Norros (WiOpt, 2007)

Urn models and peer-to-peer file sharing. - Ilkka Norros; Hannu Reittu (WiOpt, 2008)

Attack Resistance of Power-Law Random Graphs in the Finite-Mean, Infinite-Variance Region. - Ilkka Norros; Hannu Reittu (Internet Math., 2008)

Network models with a 'soft hierarchy': a random graph construction with loglog scalability. - Ilkka Norros; Hannu Reittu (IEEE Netw., 2008)

A Stable Random-Contact Algorithm for Peer-to-Peer File Sharing. - Hannu Reittu (IWSOS, 2009)

A power-law graph as a distributed hash table with quick search and small tables. - Hannu Reittu; Ilkka Norros (VALUETOOLS, 2009)

Szemerédi-type clustering of peer-to-peer streaming system. - Vesa Pehkonen; Hannu Reittu (Cnet@ITC, 2011)

On the stability of two-chunk file-sharing systems. - Ilkka Norros; Hannu Reittu; Timo Eirola (Queueing Syst. Theory Appl., 2011)

Regular Decomposition of Multivariate Time Series and Other Matrices. - Hannu Reittu; Fülöp Bazsó; Robert Weiss (S+SSPR, 2014)

Regular decomposition of large graphs and other structures: Scalability and robustness towards missing data. - Hannu Reittu; Ilkka Norros (IEEE BigData, 2017)

Regular Decomposition: an information and graph theoretic approach to stochastic block models. - Hannu Reittu; Fülöp Bazsó; Ilkka Norros (CoRR, 2017)

Regular decomposition of large graphs and other structures: scalability and robustness towards missing data. - Hannu Reittu; Ilkka Norros; Fülöp Bazsó (CoRR, 2017)

Analysis of large sparse graphs using regular decomposition of graph distance matrices. - Hannu Reittu; Lasse Leskelä; Tomi Räty; Marco Fiorucci (IEEE BigData, 2018)

Towards analyzing large graphs with quantum annealing. - Hannu Reittu; Ville Kotovirta; Lasse Leskelä; Hannu Rummukainen; Tomi Räty (IEEE BigData, 2019)

Regular Decomposition of Large Graphs: Foundation of a Sampling Approach to Stochastic Block Model Fitting. - Hannu Reittu; Ilkka Norros; Tomi Räty; Marianna Bolla; Fülöp Bazsó (Data Sci. Eng., 2019)

Towards analyzing large graphs with quantum annealing and quantum gate computers. - Hannu Reittu; Ville Kotovirta; Lasse Leskelä; Hannu Rummukainen; Tomi Räty (CoRR, 2020)

A network community detection method with integration of data from multiple layers and node attributes. - Hannu Reittu; Lasse Leskelä; Tomi Räty (Netw. Sci., 2023)

Clustering the Nodes of Sparse Edge-Weighted Graphs via Non-backtracking Spectra. - Marianna Bolla; Hannu Reittu; Fatma Abdelkhalek (FICC (2), 2025)