NASN2018: 2nd North American Social Networks Conference Kimpton Palomar Hotel Washington, DC, United States, November 27-December 1, 2018 |
Conference website | http://www.insna.org/nasn2018/ |
Submission link | https://easychair.org/conferences/?conf=nasn2018 |
Abstract registration deadline | September 14, 2018 |
Submission deadline | September 14, 2018 |
The NASN Conference is a regional conference of the International Network for Social Network Analysis (INSNA). INSNA currently has over 500 members and more people than ever are interested in attending and presenting their work at INSNA conferences. The NASN conference provides an interdisciplinary venue for social scientists, mathematicians, computer scientists, ethnologists, epidemiologists, organizational theorists, public health experts, and others to present current work in the area of social networks. More information about other INSNA conferences can be found on the INSNA website, www.insna.org.
Submission Guidelines
The NASN 2018 organizing committee is soliciting abstracts for paper and poster presentations at the upcoming 2nd NASN Conference in Washington, DC, 27-30 November 2018. We invite abstract submissions for oral presentations (20 minute lecture) and posters (90 minute poster session) on topics relevant to social network analysis, including theory, methods, and applications of social network analysis.
Abstract submission dates
Opens on 15 July 2018
Closes on 14 September 2018, at 17:00 EST
Details for abstract submission can be found at http://insna.org/nasn2018/wp-content/uploads/2018/05/Paper-and-Poster-Abstract-Guidelines.pdf
We are also accepting papers, which must be original and not simultaneously submitted to another journal or conference. Selected papers will be scheduled for oral presentation (20 minute leture) and appear in either Connections or the Journal of Social Structure.
List of Topics
- Methods for social network analysis
- Modeling social networks and behavior
- Management of social network data
- Information propagation and assimilation in social networks
- Methods for social and media analysis
- Longitudinal network analysis
- Communication networks
- Two-mode / Affiliation / Bi-partite networks
- Social influence
- Negative ties
- Multi-level network analysis
- Qualitative network analysis
- Collaboration networks
- Visualization of social networks
- Social networks and online education
- Dynamics of social contagion.
- Online communication and (mis)information diffusion.
- Viral propagation in online social networks.
- Online socio-political mobilizations.
- Group formation, evolution and group behaviour analysis.
- Modelling, tracking and forecasting dynamic groups in social media.
- Community detection and dynamic community structure analysis.
- Social simulation, and cultural, opinion, and normative dynamics.
- Empirical calibration and validation of agent-based social models.
- Coevolution of network and behaviour.
- Online and lab experiments.
- Big data and social networking
- Social network analysis tools
- Algorithms for analyzing social networks
Committees
Organizing committee
- Ian McCulloh, Ph.D. Johns Hopkins University, ian.mcculloh@jhuapl.edu
- Kimberly Glasgow, Johns Hopkins Applied Physics Lab, kimberly.glasgow@jhuapl.edu
- Tony Johnson, Ph.D. Johns Hopkins University, anthony.johnson@jhuapl.edu
Publication
NASN2018 papers will be published in either Connections or the Journal of Social Structure, both are official journals of INSNA.
Venue
NASN 2018 will be held at the Kimpton Hotel Palomar Washington DC in Washington DC, 2121 P Street NW, Washington, DC 20037,
Reservations: (877) 866-3070
Hotel: (202) 448-1800
The following special room rates have been offered below U.S. Government per diem to attendees. When reserving a room in this hotel (available until Friday, October 26th, or sold out): Standard guest: $179.00 USD (plus tax). More information to include a link to conference rate registration is available at http://insna.org/nasn2018/venue-accommodation/
Contact
All questions about submissions should be emailed to Ian McCulloh at ian.mcculloh@jhuapl.edu or NASN2018 at nasocnet@gmail.com.