We have published four new papers over the summer:

1. New and atypical combinations: An assessment of novelty and interdisciplinarity, by M. Fontana, M. Iori, F. Montobbio, R. Sinatra, published in Research Policy
   
   We compare different indicators of novelty and interdisciplinarity, and find that often they can’t distinguish novel and non-novel articles apart. We also find measured novelty highly overlaps measured interdisciplinarity, because the two are operationalized in similar ways.
2. Mapping socioeconomic indicators using social media advertising data, by M. Fatehkia, I. Tingzon, A. Orden, S. Sy, V. Sekara, M. Garcia-Herranz, I. Weber, published in EPJ Data Science
   
   In this paper we ask: Is it possible to estimate poverty using data from the Facebook Ad platform?
3. Knowledge diffusion in the network of international business travel, by M. Coscia, F.M.H. Neffke, R. Hausmann, published in Nature Human Behavior
   
   Read Michele’s blog post about it: http://www.michelecoscia.com/?p=1838
4. Multiplex Graph Association Rules for Link Prediction, by M. Coscia and M. Szell, accepted for publication in 15th International Conference on Web and Social Media (ICWSM) 2021
   
   Here we investigate the multiplex link prediction problem with graph association rules: Will two nodes connect, and of which type?

NERDS are back from the lockdown with two three new papers published today:

1. Distortions of political bias in crowdsourced misinformation flagging, by Michele Coscia and Luca Rossi, published in the Journal of the Royal Society Interface
   
   Luca writes more about the paper here: https://blogit.itu.dk/lucarossi/2020/06/10/reasonable-wrong-technical-solutions-to-social-problems/
   And here Michele’s take: http://www.michelecoscia.com/?p=1816

2. Extracting the multimodal fingerprint of urban transportation networks, by Luis Guillermo Natera Orozco, Federico Battiston, Gerardo Iñiguez, and Michael Szell, published in Transport Findings
   
   In this paper we analyze urban transport network layers of multiple cities and come up with a multiplex-network based method to construct a “fingerprint” of how these layers connect. This gives insights and a classification on the multimodal potential of cities (how their modes of transport are connected).

Update June 11th: Make that one more:

3. Generalized Euclidean Measure to Estimate Network Distances, by Michele Coscia, published in ICWSM-2020

Luca and I have published a paper on the ASONAM conference — happening this week. In it, we discuss the effects of performing a projection from a bipartite to a unipartite network, and then filtering the edges according to some way to find statistically significant thresholds. You can read more details on my blog: http://www.michelecoscia.com/?p=1699