. Bamler-r.-&-mandt-s, Dynamic word embeddings, International Conference on Machine Learning, pp.380-389, 2017.

. Bloomfield-l, An introduction to the study of language, vol.3, 1983.

. Dao-v.-l and . Bothorel-c.-&-lenca-p, Estimating the similarity of community detection methods based on cluster size distribution, International Workshop on Complex Networks and their Applications, pp.183-194, 2018.

. N. Dorogovtsev-s and . F. Mendes-j, Language as an evolving word web, Proceedings of the Royal Society B : Biological Sciences, vol.268, pp.2603-2606, 1485.

Y. Gao, . Liang-w, Y. &. Shi, and . Huang-q, Comparison of directed and weighted cooccurrence networks of six languages, Physica A : Statistical Mechanics and its Applications, vol.393, pp.579-589, 2014.

. L. Hamilton-w, J. &. Leskovec, and . Jurafsky-d, Diachronic word embeddings reveal statistical laws of semantic change, 2016.

. Hill-f, J. S. Cho-k, and D. C. Bengio-y, Embedding word similarity with neural machine translation, 2014.

I. F. Cancho-r and . V. Solé-r, The small world of human language, Proceedings of the Royal Society of London B, vol.268, pp.2261-2265, 1482.

J. S. Le?niak-d and . Czarnecki-w.-m, How to evaluate word embeddings ? on importance of data efficiency and simple supervised tasks, 2017.

. Levy-o, Y. &. Goldberg, and . Dagan-i, Improving distributional similarity with lessons learned from word embeddings, Transactions of the Association for Computational Linguistics, vol.3, pp.211-225, 2015.

. P. Masucci-a and . J. Rodgers-g, Network properties of written human language, Physical Review E, vol.74, issue.2, p.26102, 2006.

. W. Matula-d and . L. Beck-l, Smallest-last ordering and clustering and graph coloring algorithms, Journal of the ACM, vol.30, issue.3, pp.417-427, 1983.

. Mikolov-t, . Sutskever-i, . Chen-k, . S. Corrado-g, and . Dean-j, Distributed representations of words and phrases and their compositionality, Advances in neural information processing systems, pp.3111-3119, 2013.

M. S. Mitra-r, . K. Maity-s, M. Riedl, C. Biemann, . &. Goyal-p et al., An automatic approach to identify word sense changes in text media across timescales, Natural Language Engineering, vol.21, issue.5, pp.773-798, 2015.

. E. Newman-m, Analysis of weighted networks, Physical review E, vol.70, issue.5, p.56131, 2004.

. E. Newman-m and . Girvan-m, Finding and evaluating community structure in networks, Physical review E, vol.69, issue.2, p.26113, 2004.

G. Palla, . Derényi-i, . &. Farkas-i, and . Vicsek-t, Uncovering the overlapping community structure of complex networks in nature and society, Nature, vol.435, issue.7043, pp.814-818, 2005.

J. Pennington, . &. Socher-r, and . Manning-c, Glove : Global vectors for word representation, Proceedings of the 2014 conference on empirical methods in natural language processing, pp.1532-1543, 2014.

. N. Raghavan-u and . Albert-r.-&-kumara-s, Near linear time algorithm to detect community structures in large-scale networks, Physical Review E, issue.3, p.76, 2007.

. Salle-a, M. &. Idiart, and . Villavicencio-a, Enhancing the lexvec distributed word representation model using positional contexts and external memory, 2016.

S. S. Dong-a, Community detection in graphs using singular value decomposition, Physical Review E, vol.83, issue.4, 2011.

. Schnabel-t, . Labutov-i, and . Mimno-d.-&-joachims-t, Evaluation methods for unsupervised word embeddings, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp.298-307, 2015.

. Sun-f, J. Guo, Y. Lan, J. &. Xu, and . Cheng-x, Learning word representations by jointly modeling syntagmatic and paradigmatic relations, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, vol.1, pp.136-145, 2015.

. Tang-x, A State-of-the-Art of Semantic Change Computation, 2018.

J. Xie and C. M. Szymanski-b, Labelrankt : Incremental community detection in dynamic networks via label propagation, Proceedings of the Workshop on Dynamic Networks Management and Mining, pp.25-32, 2013.

Y. X. Jeub-l, . Flammini-a, . &. Radicchi-f, and . Fortunato-s, Weight thresholding on complex networks, 2018.