activity
20102022
most citedEffect of the Interconnected Network Structure on the Epidemic Threshold

199 citations · 736 across the 19 of their papers we have counts for

collaborators

19 papers

physics.soc-ph2022★ 1 cited

Temporal-topological properties of higher-order evolving networks

Alberto Ceria, Huijuan Wang

Human social interactions are typically recorded as time-specific dyadic interactions, and represented as evolving (temporal) networks, where links are activated/deactivated over t…

cs.SI2021★ 3 cited

Measuring and utilizing temporal network dissimilarity

Xiu-Xiu Zhan, Chuang Liu, Zhipeng Wang +3

Quantifying the structural and functional differences of temporal networks is a fundamental and challenging problem in the era of big data. This work proposes a temporal dissimilar…

physics.soc-ph2021★ 1 cited

Topological-temporal properties of evolving networks

Alberto Ceria, Shlomo Havlin, Alan Hanjalic +1

Many real-world complex systems including human interactions can be represented by temporal (or evolving) networks, where links activate or deactivate over time. Characterizing tem…

cs.SI2020★ 28 cited

SI-spreading-based network embedding in static and temporal networks

Xiu-Xiu Zhan, Ziyu Li, Naoki Masuda +2

Link prediction can be used to extract missing information, identify spurious interactions as well as forecast network evolution. Network embedding is a methodology to assign coord…

physics.soc-ph2017★ 1 cited

Self-Avoiding Pruning Random Walk on Signed Network

Huijuan Wang, Cunquan Qu, Chongze Jiao +1

A signed network represents how a set of nodes are connected by two logically contradictory types of links: positive and negative links. In a signed products network, two products…

cs.SI2017★ 49 cited

Modeling of Information Diffusion on Social Networks with Applications to WeChat

Liang Liu, Bo Qu, Bin Chen +2

Traces of user activities recorded in online social networks such as the creation, viewing and forwarding/sharing of information over time open new possibilities to quantitatively…