Identifying Influential Nodes in Bipartite Networks Using the Clustering Coefficient. - Jessica Liebig; Asha Rao (SITIS, 2014)

A Clustering Coefficient to Identify Important Nodes in Bipartite Networks. - Jessica Liebig; Asha Rao (CoRR, 2014)

Predicting Item Popularity: Analysing Local Clustering Behaviour of Users. - Jessica Liebig; Asha Rao (CoRR, 2015)

A fast and simple method of extracting the backbone of one-mode projections: An aid in the detection of communities. - Jessica Liebig; Asha Rao (CoRR, 2015)

Online election campaigning: Identifying political parties using likes and comments. - Jessica Liebig; Mohammad Adib Khairuddin; Asha Rao (COMPLEX NETWORKS, 2016)

A global model for predicting the arrival of imported dengue infections. - Jessica Liebig; Cassie Jansen; Dean Paini; Lauren Gardner; Raja Jurdak (CoRR, 2018)

How Mobility Patterns Drive Disease Spread: A Case Study Using Public Transit Passenger Card Travel Data. - Ahmad El Shoghri; Jessica Liebig; Lauren Gardner; Raja Jurdak; Salil S. Kanhere (WOWMOM, 2019)

Identifying Highly Influential Travellers for Spreading Disease on a Public Transport System. - Ahmad El Shoghri; Jessica Liebig; Raja Jurdak; Lauren Gardner; Salil S. Kanhere (WoWMoM, 2020)

How disease spread dynamics evolve over time. - Ahmad El Shoghri; Jessica Liebig; Raja Jurdak; Salil S. Kanhere (ASONAM, 2021)

COVID-19 vaccination strategies on dynamic networks. - Quoc Huy Nguyen; Jessica Liebig; Md Shahzamal; Bernard Mans; Raja Jurdak (CoRR, 2021)

Age Bias in Finger Vein Biometric Research. - Joanne L. Hall; Jomin John; Jessica Liebig; Anju Skariah (ICISSP, 2022)