Recent publications

Publications by author

Books

  • Bellotti E., 2014, Qualitative networks. Mixed methods in sociological research, Routledge, London
  • Bellotti E., Amicizie. Le reti sociali dei giovani single, 2008, F. Angeli, Milano (Friendships. The social networks of single youth).
  • Bellotti E., Beltrame L., Volontè P., Il campo sociale della fisica particellare in Italia. Uno studio sociologico, 2008, Bolzano University Press, Bolzano (The social field of particle physics in Italy. A sociological study).
  • Borgatti S. Everett M., Johnson J., 2013, Analyzing social networks. London: Sage. eScholarID: 194888
  • Crossley, N. 2020, Connecting Sounds. Manchester University Press. 
  • Crossley, N, Bellotti, E, Edwards, G, Everett, M, Koskinen, J and Tranmer, M (2015) Social Network Analysis for Ego-Nets, London, Sage.
  • Crossley, N. (2015) Networks of Sound, Style and Subversion: the Punk and Post-Punks Musical Worlds of Manchester, London, Liverpool and Sheffield 1976-1980, Manchester University Press.
  • Crossley, N. and Krinsky, J. (eds)(2015) Social Networks and Social Movements: Contentious Connections, London, Routledge. 
  • Crossley, N. (2011) Towards Relational Sociology, London, Routledge.
  • Crossley, N, McAndrews, S and Widdop, P. (2015) Social Networks and Musical Worlds, London, Routledge.
  • Lusher, D., Koskinen, J., Robins, G. Lusher, D., Koskinen, J., Robins, G. ed. Exponential Random Graph Models for Social Networks. Structural Analysis in the Social Sciences. New York: Cambridge University Press, 2013. eScholarID: 147754

Academic journal papers and chapters of book

  • Amati, V., Shafie, T., & Brandes, U. (2018). Reconstructing archaeological networks with structural holes. Journal of archaeological method and theory, 25(1), 226–253.
  • Bellotti E., 2012, Getting funded. The multi-level network of Physicists in Italy, in Social Networks, 34, pp. 215-229.
  • Bellotti E., Guadalupi L., Conaldi G., 2015, Comparing fields of sciences: the network of collaborations to research projects in Italian academia, in Lazega E., Snijders T., (eds.) Multilevel and network analyses, Methods Series, Springer, pp. 213-244.
  • Bellotti E., Kronegger L., Guadalupi L., 2016, The evolution of research collaboration within and across disciplines in Italian Academia. Scientometrics, 109, 2, pp. 783–811.
  • Bellotti E. (2021) Mixed Methods in Egonet Analysis. In: Antonyuk A., Basov N. (eds) Networks in the Global World. NetGloW 2020. Lecture Notes in Networks and Systems, vol 181. Springer, Cham.
  • Bellotti, E., Spencer, J., Lord, N. & Benson, K. "Counterfeit Alcohol Distribution: A Criminological Script Network Analysis". In European Journal of Criminology.
  • Bellotti, E., Vörös, A., Diviak, T., & Everett, M. (2020). Reducing social contacts in schools to attenuate the spread of Covid-19. Which strategies are effective?Working paper accepted and published by the Education Committee of the UK Parliament, paper no. CIE0406. URL: https://committees.parliament.uk/writtenevidence/9119/html/ (retrieved: 08/09/20)
  • Boda, Z., Elmer, T., Vörös, A., & Stadtfeld, C. (2020). Short-term and long-term effects of a social network intervention on friendships among university students. Scientific Reports10(1), 1-12.
  • Bottero, W. and Crossley, N. (2011) Worlds, Fields and Networks, Cultural Sociology 5 (1) 99-119.
  • Degnan, A, Berry, K, Sweet, D, Abel, K, Crossley, N. and Edge, D. (2018) Social Networks and Symptomatic and Functional Outcomes in Schizophrenia, Social Psychiatry and Psychiatric Epidemiology, https://doi.org/10.1007/s00127-018-1552-8 
  • Emms, R. and Crossley, N. (2018) Trans-Locality, Network Structure and Music Worlds: Underground Metal in the UK, Canadian Review of Sociology,  Bradley, F, Ashcroft, D. and Crossley, N. (2018) Negotiating Inter-Professional   Interaction,Sociology of Health and Illness 40(3).
  • Crossley, N. (2021) Content and Context in Social Network Analysis, Networks in the Global World V: Proceedings of NetGloW 2020, Dordrecht, Springer.
  • Crossley, N. (2020) Relations-In-Process: In Honour of François Depelteau, Digithum 26,https://digithum.uoc.edu
  • Crossley, N. and Ozturk, T. (2019) Music, social structure and connection, Miscellanea Anthropologica et Sociologica 20(2), 192-210.
  • Crossley, N. (2015) Relational Sociology and Culture: A Preliminary Framework, International Review of Sociology 25(1), 65-85. 
  • Vaughan, S, Sanders, T, Crossley, N, O’Neill, Wass, V. (2015) Bridging the Gap: the roles of social capital and ethnicity in medical school achievement, Medical Education 49, 114-123. 
  • Crossley, N. (forthcoming) Redes, interacciones y relaciones (translated by Francisca Ortiz and Alejandro Espinosa-Rada) in Ortiz, F. and Espinosa-Rada, A. (2021) El análisis de redes sociales desde Latinoamérica, Madrid, CIS
  • Crossley, N. (forthcoming) Youth, Music and Social Network Analysis, Bennett, A. (forthcoming)  Bloomsbury Handbook of Popular Music and Youth Culture, London, Bloomsbury.
  • Crossley, N. (2021) The Punk Worlds of Liverpool and Manchester, 1975-1980, McKay, G. and Arnold, G. (2021) The Oxford Handbook of Punk Rock, Oxford, Oxford University Press.
  • Crossley, N. (2019) Les micro-mobilisations du punk britannique, 1975-76, in  Edwards,P, Grossi, E, and Schor, P. (2019) Disorder: Histoire sociale des mouvements punk and post-punk, Paris, Seteun, 21-40.
  • Crossley, N. (2019) 'Social Network Analysis' in Ritzer, G, Ryan, M, and Thorn, B. (2018) Blackwell Encyclopaedia of Sociology,   https://onlinelibrary.wiley.com/doi/book/10.1002/9781405165518#pane-1e5b7155-  0d92-4fac-af49-1e4970aa0cc401 
  • Crossley, N. and Diani, M. (2018) Networks and Fields, in Snow, D, Soule, S, Kriesi, H and McCammon, H. (2018) The Wiley Blackwell Companion to Social Movements,  London, Wiley 151-66.
  • Crossley, N. (2018) Network, Interactions and Relations, in Depelteau, F. (2018) The Palgrave Handbook of Relational Sociology, London, Palgrave.
  • Crossley, N. (2017) Social Network Analysis, in Korgen, K. (2017) The Cambridge Handbook of Sociology, Cambridge University Press, 134-42.
  • Crossley, N. (2017) Cultural Networks, in Turner, B. et.al (2017) The Wiley-Blackwell Encyclopedia of Social Theory, London, Wiley-Blackwell.
  • Everett, M, Crossley, N, and Bellotti, E (2016) Social Network Analysis, Oxford Bibliographies, www.oxfordbibliographies.com
  • Crossley, N. (2016) Networks, Interaction and Conflict: A Relational Sociology of Social Movements and Protest, in Roose, J and Dietz, H. (2016) Social Movements and Social Theory, the Hague, Springer, 155-75.
  • Ibrahim, J. and Crossley, N. (2017) Network Formation in Student Political Worlds, in Brooks, R. (2017) Student Politics and Protest, London, Routledge, 173-90.
  • Crossley, N. (2016) Social Networks and Relational Sociology in Abrutyn, S. (2016) Handbook of Contemporary Social Theory, New York, Springer.
  • Crossley, N. (2016) Social Network Analysis, in Inglis, D and Almina, A-M (2016) The Sage Handbook of Cultural Sociology, London, Sage, 282-93.
  • Crossley, N, McAndrew, S, and Widdop, P. (2015) What is Social Network Analysis? An Introduction for Music Scholars, , in Crossley, N, McAndrew, S, and Widdop, P. (2015) Social Networks and Music Worlds, Routledge, London.
  • Crossley, N. (2015) Totally Wired: the Network Structure of the Post-Punk Worlds of  Liverpool, Manchester and Sheffield, 1976-1980, in Crossley, N, McAndrew, S, and Widdop, P. (2015) Social Networks and Music Worlds, Routledge, London.
  • Hield, F and Crossley, N. (2015) Tastes, Ties and Social Space: Exploring Sheffield’s Folk Singing World, in Crossley, N, McAndrew, S, and Widdop, P. (2015) Social Networks and Music Worlds, Routledge, London. 
  • Crossley, N. and Edwards, G. (2016) Cases, Mechanisms and the Real, Sociological Research On-Line 21 (2)
  • Crossley, N, and Emms, R. (2016) Mapping the Musical Universe: A Blockmodel of UK Music Festivals 2011-13, Methodological Innovations 1(1)
  • Crossley, N, Edwards, G, Harries, E, Stevenson, R. (2012) Covert Social Movement Networks and the Secrecy-Efficiency Trade-Off: the Case of the UK Suffragettes (1906-1914), Social Networks 34(4), 634-44.
  • Crossley, N. and Ibrahim, J. (2012) Critical Mass, Social Networks and Collective Action: the Case of Student Political Worlds, Sociology 46(4), 596-612.
  • Crossley, N. (2010) Networks, Interactions and Complexity, Symbolic Interaction 33(3) 341-63.
  • Crossley, N. (2010) The Social World of the Network: qualitative aspects of network analysis, Sociologica 2010 (1),
  • Crossley, N. and Edwards, G. (2016) ‘Cases, Mechanisms and the Real: the Theory and Methodology of Mixed Methods Social Network Analysis’, Sociological Research Online 21(2): 13- (Special Section on Visualization in Mixed Methods Research on Social Networks).
  • Frank, O., & Shafie, T. (2018). Random multigraphs and aggregated triads with fixed degrees. Network Science, 6(2), 232–250.
  • Frank, O., & Shafie, T. (2016). Multivariate entropy analysis of network data. Bulletin of Sociological Methodology/Bulletin de Mthodologie Sociologique, 129(1), 45–63.
  • Keller, Franziska B., David Schoch, Sebastian Stier and JungHwan Yang. 2017. “How to Manipulate Social Media: Analyzing Political Astroturfing Using Ground Truth Data from South Korea.” In 11th International AAAI Conference on Web and Social Media (ICWSM).
  • Koskinen, J. H., & Snijders, T. A. B. (2016). Multilevel longitudinal analysis of social networks (In preparation).
  • Koskinen J., Caimo, A., Lomi, A. (2015). Simultaneous modelling of initial conditions and time heterogeneity in dynamic networks: An application to Foreign Direct Investments. Network Science, 3(1): 58-77.
  • Koskinen, J. & Edling, C. (2012). Modelling the evolution of a bipartite network—Peer referral in interlocking directorates. Social Networks, Vol. 34 (3), 309–322.
  • Koskinen, J. H., Robins, G. L., Wang, P., Pattison, P. E. (2013). Bayesian analysis for partially observed network data, missing ties, attributes and actors. Social Networks, vol. 35(4), 514-527.
  • Lord N., Spencer J., Bellotti E., Benson K., A Script Analysis of the Distribution of Counterfeit Alcohol Across Two European Jurisdictions, Trends in Organized Crime, forthcoming.
  • Lord, N., Bellotti, E., Flores Elizondo, C. J., Melville, J. & McKellar, S., (2021) “ScriptNet: An Integrated Criminological-Network Analysis Tool”. Software Tool.
  • Jones, P., Quinn, E., & Koskinen, J. (2020). Measuring centrality in film narratives using dynamic character interaction networks. Social Networks, 63. https://doi.org/10.1016/j.socnet.2020.03.003
  • Shafie, Termeh, David Schoch, Jimmy Mans, Corinne Hofman, and Ulrik Brandes. 2017. “Hypergraph Representations: A Study of Carib Attacks on Colonial Forces, 1509-1700.” Journal of Historical Network Research 1 (1): 52–70. 
  • Shafie, T. (2016). Analyzing the local and global properties of multigraphs. The Journal of Mathematical Sociology, 40(4), 239–264.
  • Shafie, T. (2015). A Multigraph Approach to Social Network Analysis. Journal of Social Structure, 16.
  • Schoch, D. (2020). Projecting Signed Two-mode Networks. Journal of Mathematical Sociology, 45(1): 35-50.
  • Schoch, David. 2018. “Centrality without Indices: Partial Rankings and Rank Probabilities in Networks.” Social Networks 54: 50–60.
  • Schoch, David, Thomas W. Valente, and Ulrik Brandes. 2017. “Correlations among Centrality Indices and a Class of Uniquely Ranked Graphs.” Social Networks 50: 46–54.
  • Schoch, David, and Ulrik Brandes. 2016. “Re-Conceptualizing Centrality in Social Networks.” European Journal of Applied Mathematics 27 (6): 971–85.
  • Schoch, D., & Brandes, U. (2018). Social Stratification from Networks of Leveling Ties. In International Workshop on Complex Networks and their Applications (pp. 447-459). Springer, Cham.
  • Stivala, A., Koskinen, J., Rolls, D., Wang, P., Robins, R. (2014). Snowball sampling for estimating exponential random graph models for large networks. Social Networks.
  • Vörös, A., Boda, Z., Elmer, T., Hoffman, M., Mepham, K., Raabe, I. J., & Stadtfeld, C. (2021). The Swiss StudentLife Study: Investigating the emergence of an undergraduate community through dynamic, multidimensional social network data. Social Networks65, 71-84.