Topics

No keywords indexed for this article. Browse by subject →

References
26
[1]
J. Bascompte. Mutualistic networks. <i>Frontiers in Ecology and the Environment</i>, 7(8):429–436, 2009. 10.1890/080026
[2]
J. Bascompte and Pedro J. The structure of plant-animal mutualistic networks. <i>Ecological networks: linking structure to dynamics in food webs. Oxford University Press, Oxford, UK</i>, pages 143–159, 2006. 10.1093/oso/9780195188165.003.0005
[3]
F. Chung and L. Lu. Connected components in random graphs with given expected degree sequences. <i>Annals of combinatorics</i>, 6(2):125–145, 2002. 10.1007/pl00012580
[4]
E. D’Bastiani, K. M. Campião, W. A. Boeger, and S. B. L Araújo. The role of ecological opportunity in shaping host–parasite networks. <i>Parasitology</i>, 147(13):1452–1460, 2020. 10.1017/s003118202000133x
[5]
P. Diaconis and S. Janson. Graph limits and exchangeable random graphs. <i>Rend. Mat. Appl.</i>, 7(28):33–61, 2008.
[6]
M. Doré, C. Fontaine, and E. Thébault. Relative effects of anthropogenic pressures, climate, and sampling design on the structure of pollination networks at the global scale. <i>Global Change Biology</i>, 2020. 10.1111/gcb.15474
[7]
C. Gao and J. Lafferty. Testing network structure using relations between small subgraph probabilities. Technical Report 1704.06742, arXiv, 2017a.
[8]
C. Gao and J. Lafferty. Testing for global network structure using small subgraph statistics. Technical Report 1710.00862, arXiv, 2017b.
[9]
G. Govaert and M. Nadif. Block clustering with bernoulli mixture models: Comparison of different approaches. <i>Computational Statistics &amp; Data Analysis</i>, 52(6):3233–3245, 2008. 10.1016/j.csda.2007.09.007
[10]
P. Hall and C. C Heyde. <i>Martingale limit theory and its application</i>. Academic press, 2014.
[11]
J. Jin, Z. Ke, and S. Luo. Network global testing by counting graphlets. In <i>International Conference on Machine Learning</i>, pages 2333–2341. PMLR, 2018.
[12]
L. Lovász and B. Szegedy. Limits of dense graph sequences. <i>Journal of Combinatorial Theory, Series B</i>, 96(6):933 – 957, 2006. ISSN 0095-8956. 10.1016/j.jctb.2006.05.002
[13]
Network Motifs: Simple Building Blocks of Complex Networks

R. Milo, S. Shen-Orr, S. Itzkovitz et al.

Science 10.1126/science.298.5594.824
[14]
The Structure and Function of Complex Networks

M. E. J. Newman

SIAM Review 10.1137/s003614450342480
[15]
K. Nowicki and J. C Wierman. Subgraph counts in random graphs using incomplete u-statistics methods. <i>Discrete Mathematics</i>, 72(1-3):299–310, 1988. 10.1016/0012-365x(88)90220-8
[16]
F. Picard, J.-J. Daudin, M. Koskas, S. Schbath, and S. Robin. Assessing the exceptionality of network motifs,. <i>J. Comp. Biol.</i>, 15(1):1–20, 2008. 10.1089/cmb.2007.0137
[17]
C. Robertson. Flowers and insects: lists of visitors to four hundred and fifty-three flowers. carlinville, il, usa, c. robertson. <i>National Center for Ecological Analysis and Synthesis Interaction Web Database</i>, 456, 1929. 10.5962/bhl.title.11538
[18]
F. Saracco, R. Di Clemente, A. Gabrielli, and T. Squartini. Detecting early signs of the 2007–2008 crisis in the world trade. <i>Scientific reports</i>, 6(1):1–11, 2016. 10.1038/srep30286
[19]
WR Silva. Patterns of fruit-frugivore interactions in two atlantic forest bird communities of south-eastern brazil: implications for conservation. <i>Seed dispersal and frugivory: ecology, evolution and conservation</i>, pages 423–435, 2002. 10.1079/9780851995250.0423
[20]
B. I. Simmons, M. JM. Sweering, M. Schillinger, L. V. Dicks, W. J. Sutherland, and R. Di Clemente. bmotif: A package for motif analyses of bipartite networks. <i>Methods in Ecology and Evolution</i>, 10(5):695–701, 2019a. 10.1111/2041-210x.13149
[21]
B.I. Simmons, A. Cirtwill, N. Baker, L.V. Dicks, D.B. Stouffer, and W.J. Sutherland. Motifs in bipartite ecological networks: uncovering indirect interactions. <i>Oikos</i>, 128(2):154–170, 2019b. 10.1111/oik.05670
[22]
D. Stark. Compound poisson approximations of subgraph counts in random graphs. <i>Random Structures &amp; Algorithms</i>, 18(1):39–60, 2001. 10.1002/1098-2418(200101)18:1<39::aid-rsa4>3.0.co;2-b
[23]
M. Thomas, N. Verzelen, P. Barbillon, O. T. Coomes, S. Caillon, D. McKey, M. Elias, E. Garine, C. Raimond, E. Dounias, et al. A network-based method to detect patterns of local crop biodiversity: validation at the species and infra-species levels. In <i>Advances in Ecological Research</i>, volume 53, pages 259–320. Elsevier, 2015. 10.1016/bs.aecr.2015.10.002
[24]
C. Vacher, D. Piou, and M. L. Desprez-Loustau. Architecture of an antagonistic tree/fungus network: the asymmetric influence of past evolutionary history. <i>PloS one</i>, 3(3):e1740, 2008. 10.1371/journal.pone.0001740
[25]
A. W. van der Vaart. <i>Asymptotic statistics</i>, volume 3. Cambridge university press, 2000.
[26]
D.P Vázquez and M.A Aizen. Asymmetric specialization: a pervasive feature of plant–pollinator interactions. <i>Ecology</i>, 85(5):1251–1257, 2004. 10.1890/03-3112
Metrics
6
Citations
26
References
Details
Published
Jan 01, 2022
Vol/Issue
16(1)
Cite This Article
Sarah Ouadah, Pierre Latouche, Stéphane Robin (2022). Motif-based tests for bipartite networks. Electronic Journal of Statistics, 16(1). https://doi.org/10.1214/21-ejs1944
Related

You May Also Like

The Bernstein-Von-Mises theorem under misspecification

B.J.K. Kleijn, A.W. van der Vaart · 2012

154 citations

The Smooth-Lasso and other ℓ1+ℓ2-penalized methods

Mohamed Hebiri, Sara van de Geer · 2011

75 citations

Fast approximation of the intensity of Gibbs point processes

Adrian Baddeley, Gopalan Nair · 2012

28 citations