Revealing the latent community structure, which is crucial to understanding features of networks, an important problem in network and graph analysis. During last decade, many approaches have been proposed solve this challenging diverse ways, i.e. different measures or data structures. Unfortunately, experimental reports on existing techniques fell short validity integrity since comparisons were not based a unified code base merely discussed theory. We engage in-depth benchmarking study...

For a variable-coefficient Korteweg–de Vries equation in lake/sea, two-layer liquid, atmospheric flow, cylindrical plasma or interactionless plasma, this paper, we derive the bilinear Bäcklund transformation, non-isospectral Ablowitz–Kaup–Newell–Segur system and infinite conservation laws for wave amplitude under certain constraints among external force, dissipation, nonlinearity, dispersion perturbation.

To address the issues of poor stability and susceptibility to external disturbances in traditional model reference adaptive systems (MRASs) for permanent magnet synchronous motors (PMSMs), this paper proposes a sliding mode control strategy based on an improved observer. First, dynamic equations PMSM are used as model, while stator current incorporating speed variables constructed adjustable model. Subsequently, novel law is designed using Popov’s hyperstability theory enhance estimation...

Along with the popularity of online social network (OSN), more and OSN users tend to create their accounts in different platforms. Under such circumstances, identifying same user among OSNs offers tremendous opportunities for many applications, as identification, migration patterns, influence estimation, expert finding media. Different from existing solutions which employ profile or structure alone, this paper, we proposed a novel joint solution named MapMe, takes both feature into account,...

Social networking services have been prevalent at many online communities such as Twitter.com and Weibo.com, where millions of users keep interacting with each other every day. One interesting important problem in the social is to rank based on their vitality a timely fashion. An accurate ranking list user could benefit parties network ads providers site operators. Although it very promising obtain vitality-based users, there are technical challenges due large scale dynamics data. In this...

Local community detection consists of finding a group nodes closely related to the seeds, small set interest. Such groups are densely connected or have high probability being internally than their connections other clusters in network. Existing local methods focus on either one that all seeds most likely be single for each seeds. However, seed member usually belongs multiple overlapping communities. In this work, we present novel method detecting communities which single-seed belongs. The...

We address the propagation dynamics of spiraling elliptic beams in nonlocal nonlinear media with losses based on variational approach. It is found that exhibit complicated behaviors, which result from combined effects and orbital angular momentum (OAM). The OAM brings an effective anisotropic diffraction rotation for beams. However, due to losses, slows down. Besides, ellipticity greatly affected by lossesand OAM. When not equal its critical value, a periodic oscillation presence losses....

This study aims to reveal the influencing factors of user churn behavior and explore how these influence rural public digital cultural services (RPDCS), then, provide avoidance strategies for RPDCS.,Combined with stimulus–organism–response theory cognitive load theory, this constructed a mixed model behavior. Data collected through online offline questionnaire survey were tested using partial least squares structural equation modeling approach, finally, authors proposed RPDCS.,The results...

Link prediction, which centers on whether or not a pair of nodes is likely to be connected, fundamental problem in complex network analysis. Network-embedding-based link prediction has shown strong performance and robustness previous studies networks, recommendation systems, knowledge graphs. This approach certain drawbacks, however; namely, the hierarchical structure subgraph ignored importance different distinguished. In this study, we established Subgraph Hierarchy Feature Fusion (SHFF)...

Community is a universal structure in various complex networks, and community detection fundamental task for network analysis. With the rapid growth of scale, networks are massive, changing rapidly, could naturally be modeled as graph streams. Due to limited memory access constraint streams, existing non-streaming methods no longer applicable. This raises an emerging need online approaches. In this work, we consider problem uncovering local containing few query nodes termed streaming...

In recent years, community structure has attracted increasing attention in social network analysis. However, performances of multifarious approaches to detection are seldom evaluated a suite systematic measurements. Furthermore, we can hardly find works which reveal diverse features based on the detected structure. this paper, build tool called CoDEM make both quality evaluations and an in-depth mining for pivotal nodes inside communities. This integrates several effective detection,...

Much of the complexity social, biological, and engineering systems arises from complicated interactions among entities in corresponding networks. A number network analysis tools have been successfully used to discover latent structures termed communities such However, some with relatively weak can be difficult uncover because they are obscured by other stronger connections. To cope this situation, our previous work proposes an algorithm called HICODE detect amplify dominant hidden community...

Abstract The spread of rumors can have a profound impact on people’s physical and mental health, as well social stability development. From the perspective rumor victims, this article proposes Susceptible-Infected-Victims-Removed (SQVR) model which combines positive information dissemination internet. considers both victims spreaders internet, proves existence model’s equilibrium point. Based selection optimized control variables, strategy was designed to effectively suppress reduce number...

In this paper, outcomes of the study on bilinear forms and vector bright solitons for a coupled nonlinear Schrödinger system with variable coefficients are presented, which describes simultaneous pulse propagation M-field components in an inhomogeneous optical fiber, where M is positive integer. Under integrable condition, we derive forms, different from those existing literatures, obtain N-soliton solutions, N When = 3, via asymptotic analysis, find that amplitudes dependent...

In this paper, the issue of synchronization for a three-dimensional energy resource chaotic system is considered. To achieve between drive and response systems, active control with known parameters has been designed. consideration existence disturbances, new design disturbance observer proposed based on errors. Active such observers employed to synchronize systems. Conditions asymptotic stability closed-loop are obtained by Hurwitz criterion. Numerical simulations provided confirm approach.

To improve the effect of user influence predicting in microblog, this paper proposed a new method analysis named UBRWR, based on interactive behavior and random walk method. UBRWR firstly used behaviors between users to reconstruct network topology, then an improved PageRank algorithm was applied predict influence, with quantized individual attribute features. The experimental Weiba show that outperforms using fans count terms ranking accuracy.

Due to the boom of social networks, research on maximizing influence has become increasingly important and various disciplines are attracted by maximization. The key impact is identify a set influential nodes that widely distributed across network. Therefore, select we propose LVoteRank algorithm. In LVoteRank, based theory three-degree division, it reasonable for gain different voting ability according number neighbors in 3-hop. addition, cut down overlapping regions spreaders discounts...