activity
20112015
most citedExtraordinary variability and sharp transitions in a maximally frustrated dynamic network

27 citations · 80 across the 5 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech2015★ 18 cited

Extreme Thouless effect in a minimal model of dynamic social networks

K. E. Bassler, Wenjia Liu, B. Schmittmann +1

In common descriptions of phase transitions, first order transitions are characterized by discontinuous jumps in the order parameter and normal fluctuations, while second order tra…

physics.soc-ph2014

Modeling interacting dynamic networks: III. Extraordinary properties in a population of extreme introverts and extroverts

Wenjia Liu, Florian Greil, Kevin E. Bassler +2

Recently, we introduced dynamic networks with preferred degrees, showing that interesting properties are present in a single, homogeneous system as well as one with two interacting…

physics.soc-ph2014★ 9 cited

Modeling interacting dynamic networks: II. Systematic study of the statistical properties of cross-links between two networks with preferred degrees

Wenjia Liu, B. Schmittmann, R. K. P. Zia

In a recent work \cite{LiuJoladSchZia13}, we introduced dynamic networks with preferred degrees and presented simulation and analytic studies of a single, homogeneous system as wel…

physics.soc-ph2013

Modeling interacting dynamic networks: I. Preferred degree networks and their characteristics

Wenjia Liu, Shivakumar Jolad, Beate Schmittmann +1

We study a simple model of dynamic networks, characterized by a set preferred degree, . Each node with degree attempts to maintain its and will add (cut) a link with pro…

cond-mat.stat-mech2012★ 27 cited

Extraordinary variability and sharp transitions in a maximally frustrated dynamic network

Wenjia Liu, B. Schmittmann, R. K. P. Zia

Using Monte Carlo and analytic techniques, we study a minimal dynamic network involving two populations of nodes, characterized by different preferred degrees. Reminiscent of intro…

cond-mat.stat-mech2011★ 26 cited

Epidemic spreading on preferred degree adaptive networks

Shivakumar Jolad, Wenjia Liu, B. Schmittmann +1

We study the standard SIS model of epidemic spreading on networks where individuals have a fluctuating number of connections around a preferred degree . Using very simple rules…