A5100453316- Complex Network Analysis Techniques
- Caching and Content Delivery
- Opinion Dynamics and Social Influence
- Peer-to-Peer Network Technologies
- Topological Materials and Phenomena
- Infrastructure Resilience and Vulnerability Analysis
- Graphene research and applications
- Human Mobility and Location-Based Analysis
- Advanced Graph Neural Networks
- Spam and Phishing Detection
- Graph theory and applications
- Advanced Computing and Algorithms
- Educational Technology and Pedagogy
- Network Packet Processing and Optimization
- E-commerce and Technology Innovations
- Mental Health Research Topics
- Mathematical and Theoretical Epidemiology and Ecology Models
- Electronic and Structural Properties of Oxides
- Image and Video Quality Assessment
- 2D Materials and Applications
- Internet Traffic Analysis and Secure E-voting
- Advanced Clustering Algorithms Research
- Political Conflict and Governance
PLA Information Engineering University
2021-2024
Fiberhome Technology Group (China)
2024
Simon Fraser University
2012-2015
Shandong University
2015
George Mason University
2013
National Institute of Standards and Technology
2013
Physical Measurement Laboratory
2013
Topological insulators are unique electronic materials with insulating interiors and robust metallic surfaces. Device applications exploiting their remarkable properties have so far been hampered by the difficulty to electrically tune Fermi levels of both bulk thin film samples. Here we show experimentally that single-crystal nanowires topological insulator Bi2Se3 can be used as conduction channel in high-performance field effect transistor (FET), a basic circuit building block. Its...
This paper presents a systematic online prediction method (Social-Forecast) that is capable to accurately forecast the popularity of videos promoted by social media. Social-Forecast explicitly considers dynamically changing and evolving propagation patterns in media when making forecasts, thereby being situation context aware. aims maximize reward, which defined as tradeoff between accuracy timeliness with issued. The forecasting performed requires no training phase or priori knowledge. We...
Online social networks (OSNs) have become popular destinations for connecting friends and sharing information. Recent statistics suggest that OSN users regularly share contents from video sites, a significant amount of requests the sites are indeed them nowadays. These behaviors substantially changed workload online services. To better understand this paradigm shift, we conduct long-term extensive measurement in RenRen, largest Facebook-like China. In paper, focus on popularity distribution...
The social networking services (SNS) have drastically changed the information distribution landscape and people's daily life. With development in broadband accesses, video has become one of most important types objects spreading among service users, yet presents more significant challenges than other objects, not only to SNS management, but also network traffic engineering. In this paper, we take an step towards understanding characteristics sharing propagation SNS, based on real viewing...
Recent statistics suggest that online social network (OSN) users regularly share video contents from sharing sites (VSSes), and a significant amount of views VSSes are indeed OSN nowadays. By crawling comparing the same videos shared in both RenRen (the largest Facebook-like China) Youku Youtube-like VSS China), we find huge distinguished requests OSNs have substantially changed workload VSSes. In particular, amplify skewness popularity so largely about 0.31% most popular account for 80%...
Modern online social networking has drastically changed the information distribution landscape. Recently, video become one of most important types objects spreading among service users. The sheer and ever-increasing data volume, broader coverage, longer access durations objects, however, present significantly more challenges than other objects. This article takes an initial step toward understanding unique characteristics sharing propagation in networks. Based on realworld traces from a...
Recent statistics suggest that online social network (OSN) users regularly share video contents from sharing sites (VSSes), and a significant amount of views VSSes are indeed OSN nowadays. By crawling comparing the same videos shared in both RenRen (the largest Facebook-like China) Youku Youtube-like VSS China), we find huge distinguished requests OSNs have substantially changed workload VSSes. In particular, amplify skewness popularity so largely about 0.31% most popular account for 80%...
This paper presents Pop-Forecast, a systematic method for accurately forecasting the popularity of videos promoted through social networks. Pop-Forecast aims to optimize accuracy and timeliness with which forecasts are issued, by explicitly taking into account dynamic propagation in The is performed online requires no training phase or priori knowledge. We analytically bound performance loss as compared that obtained an omniscient oracle prove sublinear number video arrivals, thereby...
Network motif is a sub-graph pattern may reflect structure functions or reveal underneath mechanics. Some scholars have used triadic motifs for link prediction and achieve convincing results. But most of them ignore the effectiveness quad in calculating similarity two endpoints. In this article, new method based on proposed. Two winner are chosen among 199 sub-graphs. Local information also taken into consideration. Experiments nine real networks show that index we proposed can improve...
In many systems, from brain neural networks to epidemic transmission networks, pairwise interactions are insufficient express complex relationships. Nodes sometimes cooperate and form groups increase their robustness risks, each such group can be considered a “supernode”. Furthermore, previous studies of cascading failures in interdependent have typically concentrated on node coupling connections; however, realistic scenarios, occur between the edges connecting nodes rather than themselves....
The growing importance of critical infrastructure systems (CIS) makes maintaining their normal operation against deliberate attacks such as terrorism a significant challenge. Combining game theory and complex network provides framework for analyzing CIS robustness in adversarial scenarios. Most existing studies focus on single-layer networks, while are better modeled multilayer networks. Research games is limited, lacking methods constructing incomplete information through link hiding...
Critical infrastructure systems (CIS) are closely related to human life. Attacks against CIS occur frequently, making accurate and effective protection of essential. Vulnerability assessment is the primary issue achieving this goal. The interconnected characteristic means that it best represented by a multi-layer network, but uniform model absent. Game theory offers suitable framework for researching intelligent confrontation. Previous research combining game network science mainly focuses...
Using the semi-tensor product method, this paper investigates epidemic dynamics on an adaptive network, and presents several new results. First, a formal susceptible-infected-susceptible dynamic model network is given. Second, of individual states topologies are converted into algebraic forms via matrices, respectively. Third, with help formulation, all possible final spreading equilibria obtained for any given initial state topology. The study illustrative example shows that results effective.
The robustness of interdependent networks has attracted much attention recently. Existing studies mainly focus on random failures, however, targeted attacks are ubiquitous in the real world. In this paper, a low degree neighbor node priority coupling (LDNPC) strategy is proposed, which enhances under high-degree by changing relationship between layers to generate structures overlapping links. First, nodes ranked descend according their degrees. Then, with degrees have choose dependency...
Link prediction in temporal networks has always been a hot topic both statistical physics and network science. Most existing works fail to consider the inner relationship between nodes, leading poor accuracy. Even though wide range of realistic are ones, few investigated properties networks. In this paper, we address problem abstracting individual attributes propose adaptive link method for based on [Formula: see text]-index predict future links. The matching degree nodes is first defined...
Bi <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> Se xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> is considered to be a three dimensional (3D) topological insulator (TI) with bulk band gap of 0.35 eV and single Dirac cone on the surface. [1, 2] TIs are an exciting new class materials insulating behavior in but gapless surface states topologically protected by time-reversal symmetry. 3] Device applications exploiting these...