Bibliography of work produced under TD1210
(journal articles, other publications and books, explicit acknowledgement to [TD1210], members of TD1210)

Albano, A., Guillaume, J., Heymann, S., & Grand, B. Le. (2013). A matter of time – intrinsic or extrinsic – for diffusion in evolving complex networks. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining – ASONAM ’13 (pp. 202–206). New York, New York, USA: ACM Press. doi:10.1145/2492517.2492634

Aste, T., Butler, P., & Di Matteo, T. (2013). Self-referential order. Philosophical Magazine, 93(31-33), 3983–3992. doi:10.1080/14786435.2013.835495

Ausloos, M. (2013). Econophysics: Comments on a few Applications, Successes, Methods, & Models. IIM Kozhikode Society & Management Review, 2(2), 101–115. General Finance. doi:10.1177/2277975213507832, Preprint: [TD1210]

Ausloos, M. (2014a). Binary Scientific Star Coauthors Core Size. Scientometrics, 99(2), 30. Physics and Society; Digital Libraries. doi:10.1007/s11192-014-1230-x, Preprint: 1401.4069 [TD1210]

Ausloos, M. (2014b). Zipf-Mandelbrot-Pareto model for co-authorship popularity. Scientometrics, Online Fir, 30. Physics and Society; Adaptation and Self-Organizing Systems. doi:10.1007/s11192-014-1302-y, Preprint: [TD1210]

Ausloos, M., & Petroni, F. (2014). Threshold Model for Triggered Avalanches on Networks. In F. Petroni, F. Prattico, & G. D’Amico (Eds.), Stock Markets: Emergence, Macroeconomic Factors and Recent Developments (pp. 83–101). Physics and Society; Adaptation and Self-Organizing Systems, New York: Nova Science Publishers. Preprint [TD1210]

Bar-Ilan, J. (2014). JASIST@Mendeley revisited (preprint

Bar-Ilan, J., & Aharony, N. (2014). Twelve years of Wikipedia research (p. Proceedings of the ACM WebSci 2014 Conference, Bloomington – to appear).

Chavalarias, D., & Cointet, J.-P. (2013). Phylomemetic patterns in science evolution–the rise and fall of scientific fields. PloS One, 8(2), e54847. doi:10.1371/journal.pone.0054847

Delanoë, A., & Galam, S. (2014). Modeling a controversy in the press: The case of abnormal bee deaths. Physica A: Statistical Mechanics and Its Applications, 402, 93–103. Physics and Society; Computation and Language. doi:10.1016/j.physa.2014.01.054 Preprint

Ferber, C., & Holovatch, Y. (2013). Fractal transit networks: Self-avoiding walks and Lévy flights. The European Physical Journal Special Topics, 216(1), 49–55. Physics and Society; Statistical Mechanics. doi:10.1140/epjst/e2013-01728-0, Preprint:

Firmino, H., & Baptista, A. (2013). Making sense of a flat list of terms into Linked Open Data SKOS vocabularies. In N. Lavesson (Ed.), Mining the Digital Information Networks (pp. 89–89). IOS Press. Retrieved from

Frittelli, M., & Peri, I. (2014). Scientific Research Measures. Working paper  (p. 47). PDF available at

Galam, S. (2013). Modeling the Forming of Public Opinion: An approach from Sociophysics. Global Economics and Management Review, 18(1), 2–11. doi:10.1016/S2340-1540(13)70002-1

Galina, V., & Galam, S. (2014). Dissolution of a Global Alliance: War or Peace Vinogradova Galina, Serge Galam. Policy Studies Organization, 1(1), 93–107. PDF here

Garas, A., Tomasello, M. V, & Schweitzer, F. (2014). Selection rules in alliance formation: strategic decisions or abundance of choice?, 15. Physics and Society. Retrieved from

Garcia, D., Mavrodiev, P., & Schweitzer, F. (2013). Social resilience in online communities. In Proceedings of the first ACM conference on Online social networks – COSN ’13 (pp. 39–50). Physics and Society, New York, New York, USA: ACM Press. doi:10.1145/2512938.2512946

Gramatica, R., Di Matteo, T., Giorgetti, S., Barbiani, M., Bevec, D., & Aste, T. (2014). Graph theory enables drug repurposing–how a mathematical model can drive the discovery of hidden mechanisms of action. PloS One, 9(1), e84912. doi:10.1371/journal.pone.0084912 [TD1210]

Heymann, S. (2014). Exploratory Link Stream Analysis for Event Detection. PhD Thesis l’UNIVERSITÉ PIERRE ET MARIE CURIE. Retrieved from

Heymann, S. (2014). Gephi. In Encyclopedia of Social Networks and Mining (ESNAM). Springer International.

Heymann, S., & Grand, B. Le. (2013). Monitoring user-system interactions through graph-based intrinsic dynamics analysis. In IEEE 7th International Conference on Research Challenges in Information Science (RCIS) (pp. 1–10). IEEE. doi:10.1109/RCIS.2013.6577695

Heymann, S., & Le Grand, B. (2013). Towards a redefinition of time in information networks? In Proceedings of the 5th Annual ACM Web Science Conference on – WebSci ’13 (pp. 158–161). New York, New York, USA: ACM Press. doi:10.1145/2464464.2464498

Heymann, S., & Le Grand, B. (2014). Exploratory Network Analysis. In H. Cherifi (Ed.), Complex Networks and their Applications (p. to appear). Cambridge University Press.

Jacomy, M., Heymann, S., Venturini, T., & Bastian, M. (2014). ForceAtlas2 , A Continuous Graph Layout Algorithm for Handy Network Visualization (pp. 1–22 (to appear PlosOne)).

Lambiotte, R., Salnikov, V., & Rosvall, M. (2014). Effect of Memory on the Dynamics of Random Walks on Networks. arXiv Preprint arXiv:1401.0447, 1–6. Retrieved from [TD1210]

Lambiotte, R., Tabourier, L., & Delvenne, J.-C. (2013). Burstiness and spreading on temporal networks. The European Physical Journal B, 86, 320. doi:10.1140/epjb/e2013-40456-9 Preprint: [TD1210]

Leydesdorff, L., Carley, S., & Rafols, I. (2013). Global maps of science based on the new Web-of-Science categories. Scientometrics, 94(2), 589–593. doi:10.1007/s11192-012-0784-8 Preprint:

Leydesdorff, L., Rafols, I., & Chen, C. (2013). Interactive Overlays of Journals and the Measurement of Interdisciplinarity on the basis of Aggregated Journal-Journal Citations. Journal of the American Society for Information Science and Technology, 64(12), 2573–2586. Digital Libraries. doi:10.1002/asi.22946, Preprint:

Malta, M. C., & Baptista, A. A. (2013a). A Method for the Development of Dublin Core Application Profiles (Me4DCAP V0.2): Detailed Description. In Proc. Int’l Conference on Dublin Core and Metadata Applications (pp. 90–103).

Malta, M. C., & Baptista, A. A. (2013b). Me4DCAP V0.1: A method for the development of Dublin Core Application Profiles. Information Services & Use, 33, 161–171. doi:10.3233/ISU-130706

Malta, M. C., & Baptista, A. A. (2013c). State of the art on methodologies for the development of a metadata application profile. International Journal of Metadata, Semantics and Ontologies, 8(4), 332. doi:10.1504/IJMSO.2013.058416

Malta, M. C., & Baptista, A. A. (2014). A panoramic view on metadata application profiles of the last decade. International Journal of Metadata, Semantics and Ontologies, 9(1), 58. doi:10.1504/IJMSO.2014.059124

Marx, W., Bornmann, L., Barth, A., & Leydesdorff, L. (2014). Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS). Journal of the Association for Information Science and Technology, 65(4), 751–764. Digital Libraries; Computers and Society. doi:10.1002/asi.23089, Preprint:

Mayr, P., Scharnhorst, A., Larsen, B., Schaer, P., & Mutschke, P. (2013). Bibliometric-enhanced Information Retrieval. In M. D. et al. Rijke (Ed.), 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings (pp. 798–801). Information Retrieval; Digital Libraries; Physics and Society, Springer International. doi:10.1007/978-3-319-06028-6_99, Preprint:

Morales, R., Di Matteo, T., & Aste, T. (2014). Dependency structure and scaling properties of financial time series are related. Scientific Reports, 4, 4589. doi:10.1038/srep04589, [TD1210]

Morales, R., Di Matteo, T., & Aste, T. (2013). Non-stationary multifractality in stock returns. Physica A: Statistical Mechanics and Its Applications, 392(24), 6470–6483. doi:10.1016/j.physa.2013.08.037 [TD1210]

Mouakher, A., Heymann, S., Yahia, S. Ben, & Le Grand, B. (2013). Efficient Visualization of Folksonomies Based on «Intersectors». In H. L. Larsen, M. J. Martin-Bautista, M. A. Vila, T. Andreasen, & H. Christiansen (Eds.), Flexible Query Answering Systems. 10th International Conference, FQAS 2013, Granada, Spain, September 18-20, 2013. Proceedings (Lecture No., pp. 637–648). Springer International. doi:10.1007/978-3-642-40769-7_55

Mryglod, O., Kenna, R., Holovatch, Y., & B. Berche. (2014). On the comparison of extensive and intensive measures of scientific group efficiency. Rep. Nat. Acad. Sci. of Ukraine, (to appear). PDF here

Mryglod, O., Kenna, R., Holovatch, Y., & Berche, B. (2012). Absolute and specific measures of research group excellence. Scientometrics, 95(1), 115–127. Applications; Digital Libraries; Physics and Society. doi:10.1007/s11192-012-0874-7, Preprint:

Mryglod, O., Kenna, R., Holovatch, Y., & Berche, B. (2013a). Comparison of a citation-based indicator and peer review for absolute and specific measures of research-group excellence. Scientometrics, 97(3), 767–777. Digital Libraries; Physics and Society. doi:10.1007/s11192-013-1058-9, Preprint:

Mryglod, O., Kenna, R., Holovatch, Y., & Berche, B. (2013b). On the problem of science evaluation (in Ukrainian). Herald of the National Academy of Sciences of Ukraine, 76–85. PDF here

Osińska, V. (2014). Infovis Mechanisms in Information Architecture [in Polish: Rola mechanizmów wizualizacyjnych w architekturze informacji]. Toruńskie Studia Bibliologiczne, 6(2 (11)), 81. doi:10.12775/TSB.2013.023

Osinska, V., Dreszer-Drogorob, J., Osinski, G., & Gawarkiewicz, M. (2013). Cognitive Approach in Classification Visualization: end-users study. In A. Slavic, A. A. Salah, & S. Davies (Eds.), Classification and visualization: interfaces to knowledge (pp. 273–281). Würzburg: Ergon Verlag.

Osińska, V., & Komendziński, T. (2014). Scientists on Facebook. Visualization of social networks in science [in Polish: Naukowcy na facebook- u . Wizualizacja sieci społecznych w nauce]. In E. Glowacka (Ed.), Contemporary aspects of communication and information. Problems, research, hypothesis (pp. 269–282). Toruń: NCU Publishing 2014. Retrieved from

Pfitzner, R., Scholtes, I., Garas, A., Tessone, C. J., & Schweitzer, F. (2013). Betweenness Preference: Quantifying Correlations in the Topological Dynamics of Temporal Networks. Physical Review Letters, 110(19), 198701. doi:10.1103/PhysRevLett.110.198701

Pozzi, F., Di Matteo, T., & Aste, T. (2013). Spread of risk across financial markets: better to invest in the peripheries. Scientific Reports, 3, 1665. doi:10.1038/srep01665

Richmond, P., Sexton, M. B., Hardiman, S. J., & Hutzler, S. (2014). Generalised diffusion model of asset price fluctuations. The European Physical Journal B, 87(3), 63. doi:10.1140/epjb/e2014-40599-1

Rodrigues, E., Swan, A., & Baptista, A. A. (2013). Uma Década de Acesso Aberto na UMinho e no Mundo (p. 261). Braga, Portugal: Universidade do Minho, Serviços de Documentação.

Rosvall, M., Esquivel, A. V., Lancichinetti, A., West, J. D., & Lambiotte, R. (2013). Memory in network flows and its effects on community detection, ranking, and spreading. ArXiv, 25. Physics and Society. Retrieved from

Rotundo, G. (2014). Black–Scholes–Schrödinger–Zipf–Mandelbrot model framework for improving a study of the coauthor core score. Physica A: Statistical Mechanics and Its Applications, 404, 296–301. doi:10.1016/j.physa.2014.02.011

Rotundo, G., & Ausloos, M. (2013). Complex-valued information entropy measure for networks with directed links (digraphs). Application to citations by community agents with opposite opinions. The European Physical Journal B, 86(4), 169. doi:10.1140/epjb/e2013-30985-6

Sarigöl, E., Pfitzner, R., Scholtes, I., Garas, A., & Schweitzer, F. (2014). Predicting Scientific Success Based on Coauthorship Networks, 21. Physics and Society; Digital Libraries. Retrieved from

Scholtes, I., Pfitzner, R., & Schweitzer, F. (2014). The Social Dimension of Information Ranking: A Discussion of Research Challenges and Approaches. In Social Informatics – The Social Impact of Interactions between Humans and IT (p. to appear).

Scholtes, I., Wider, N., Pfitzner, R., Garas, A., Tessone, C. J., & Schweitzer, F. (2013). Slow-Down vs. Speed-Up of Diffusion in Non-Markovian Temporal Networks, (iii), 20. Physics and Society; Disordered Systems and Neural Networks; Statistical Mechanics. Retrieved from

Slavic, A., Akdag Salah, A., & Davies, S. (Eds.). (2013). Classification & visualization: Interfaces to knowledge ; proceedings of the International UDC Seminar 24 – 25 October 2013. Würzburg: Ergon Verlag. Retrieved from

Tadic, B., Gligorijevic, V., Skowron, M., & Suvakov, M. (2014). The dynamics of emotional chats with Bots: Experiment and agent-based simulations. ScienceJet, 3, 50. Retrieved from [TD1210]

Tadić, B., & Šuvakov, M. (2013). Can human-like Bots control collective mood: agent-based simulations of online chats. Journal of Statistical Mechanics: Theory and Experiment, 2013(10), P10014. doi:10.1088/1742-5468/2013/10/P10014 [TD1210]

Tomasello, M. V., Napoletano, M., Garas, A., & Schweitzer, F. (2013). The Rise and Fall of R&D Networks. Arxiv Preprint 1304.3623, 34. Physics and Society. Retrieved from

Tomasello, M. V., Perra, N., Tessone, C. J., Karsai, M., & Schweitzer, F. (2014). The role of endogenous and exogenous mechanisms in the formation of R&D networks. Physics and Society; Data Analysis, Statistics and Probability. Retrieved from

Uboldi, G., Caviglia, G., Coleman, N., Heymann, S., Mantegari, G., & Ciuccarelli, P. (2013). Knot: an Interface for the Study of Social Networks in the Humanities Giorgio. In Proceedings of the Biannual Conference of the Italian Chapter of SIGCHI on – CHItaly ’13 (pp. 1–9). New York, New York, USA: ACM Press. doi:10.1145/2499149.2499174

Van Hoek, W., Shen, W., & Mayr, P. (2014). Identifying User Behavior in domain-specific Repositories. Arxiv Digital Libraries (cs.DL); 1403.7899, Elpub Conference 2014, 10. Digital Libraries; Information Retrieval. Retrieved from

Vitanov, N. K., Dimitrova, Z. I., & Vitanov, K. N. (2014). Science dynamics and scientific productivity. Sofia: Publishing House ´Vanio Nedkov.

Zanetti, M. S., Scholtes, I., Tessone, C. J., & Schweitzer, F. (2013a). Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities. In ICSE ’13 Proceedings of the 2013 International Conference on Software Engineering (pp. 1032–1041). Retrieved from

Zanetti, M. S., Scholtes, I., Tessone, C. J., & Schweitzer, F. (2013b). The rise and fall of a central contributor: Dynamics of social organization and performance in the GENTOO community. In 2013 6th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE) (pp. 49–56). IEEE. doi:10.1109/CHASE.2013.6614731


KnoweScape also maintains a Mendeley group with a collection of literature relevant for Knowledge Maps (including TD1210 work) See


To the TD1210 members

Please acknowledge each publication funded under KnowEscape with the following sentence: The work [or: part of this work] has been funded by the COST Action TD1210 KnowEscape!