Satellite symposium, second edition @ NetSci2018
June 11 2018, Paris, France
The dynamics of contagion (e.g., the spread of ideas and diseases between individuals) are shaped by the networked structure of host populations. Whether the contagion travels quickly through an effectively static network or moves more slowly and thus encounters spatiotemporal variation in the networked structure itself, as a field, we still lack a definitive framework for translating data into predictions of contagion dynamics. The basic model for contagion spreading on a network is simple: An infectious agent, e.g., a pathogen or an idea, is transmitted from "infectious" individuals to "susceptible" individuals through nearest-neighbor interactions on a contact network. However, some of the most basic assumptions surrounding this simple model have been challenged in recent years. The focus of our satellite will be on these recent challenges and on persistent issues in modeling the dynamics of contagion on networks:
March 15, 2018: Satellite abstract submission deadline
April 1, 2018: Acceptance notifications
April 10, 2018: NetSci early registration deadline
June 11, 2018: Satellite symposium
What can we learn from history? Using network formulations to model the spread of historic infectious disease epidemics
The vast majority of network models in epidemiology focus on diseases and epidemics in the contemporary world. There is much we can learn from modeling epidemics of the past, however. In this talk, I use examples from research on the 1918 influenza pandemic to illustrate the insights we can gain from looking at the past. This pandemic occurred at a time when vaccines and antibiotics were not available and when the ultimate cause of the disease was not known. Examination of the consequences of this pandemic provides a window into what might happen in the near future if antibiotic resistance and other modern problems become much worse. Discussion centers on the nature of the models I have used, the ways that I have modeled social networks and past communities, the sources and types of data available to ground the models in the reality of the early 20th century, and the implications of model results for dealing with future pandemics.
Contagion spread in clustered and unclustered small world networks
Small-world networks have been widely used as a model for social networks. The typical definition of a small-world network is based on the observation that as long-range connections are added to a ring or a lattice, a regime occurs in which the typical (path) distance between two nodes is small while the typical clustering coefficient is still quite large. This has important implications for the behavior of dynamic processes occurring on the networks. In this talk, we discuss an alternative perspective on small-world networks, and explore a class of small-world networks that have negligible clustering (in the large network limit). We show that dynamic processes on these networks retain many of the features they have on small-world networks. In doing so we push the suggestion that the concept of "small-worlds" has less to do with local clustering than nearness of neighbor.
We invite abstracts of new and/or recently published work for contributed talks to take place at the satellite symposium. We hope for a broad range of topics to be covered, across theory, methodology, and application to empirical data. Topics of special interest, as they relate to contagion, include:
Time | Authors | Title |
08:45 | Organizers | Opening remarks |
09:00 | Michele Tizzoni, André Panisson, Daniela Paolotti and Ciro Cattuto | Media coverage and public awareness in the United States during the 2016 Zika epidemic |
09:20 | Petter Holme | Optimizing sentinel surveillance in static and temporal networks |
09:40 | Joana Gonçalves-Sá and Cláudio Vieira | The contagiousness of non-infectious disease: using influenza to study anxiety |
10:00 | Lisa Sattenspiel | What can we learn from history? Using network formulations to model the spread of historic infectious disease epidemics |
11:15 | Joel C. Miller | Contagion spread in clustered and unclustered small world networks |
12:00 | Tiago Peixoto and Laetitia Gauvin | Change points, memory and epidemic spreading in temporal networks |
12:20 | Sang-Hwan Gwak, Eun-Kyu Park and Kwang-Il Goh | Hidden impact of quarantine under outbreak : No-exclaves percolation on networks |
12:25 | Rashad Eletreby, Yong Zhuang and Osman Yagan | Evolution of Spreading Processes on Complex Networks |
12:30 | Laura Ozella, Francesco Gesualdo, Michele Tizzoni, Caterina Rizzo, Elisabetta Pandolfi, Ilaria Campagna, Alberto Eugenio Tozzi and Ciro Cattuto | Close encounters between infants and household members measured through wearable proximity sensors |
12:35 | Ceyhun Eksin and Joshua S. Weitz | Surveillance and control in networked SIS dynamics with individual response |
12:40 | Igor Kanovsky | Diffusion in Social Networks: Between Contagion and Complex Contagion |
12:45 | David Haw, Rachael Pung and Steven Riley | Topological drivers of sub-exponential growth in early disease dynamics |
12:50 | Samuel Rosenblatt | Making the Most of the Network Data We Have: Effective Targeted Immunization Using Incomplete Network Data |
12:55 | Organizers | Closing remarks |