[PDF] Top 20 Extended methods for influence maximization in dynamic networks
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Extended methods for influence maximization in dynamic networks
... of Dynamic RIS is that its computational time is ...other methods in all networks except ...large networks due to its short computational time, this is a big ...of Dynamic RIS is that ... See full document
21
Time sensitive influence maximization in social networks
... Time-Sensitive Influence Maximization (TSIM) problem, which takes into account the time dependence of the information ...our methods on four real-world ...existing methods, which ignore the ... See full document
16
A Query Mechanism for Influence Maximization on Specific Users in Social Networks
... the influence spread of a seed set based on independent maximum influence paths (IMIP) among ...that influence the target nodes of a query and approximating optimal seeds from the local regions as ... See full document
12
Context based influence maximization with privacy protection in social networks
... For the two other important parameters U and , the following methods are adopted to generate the parame- ters. Since not all contexts are equivalent in the aspect of appearing frequencies, we did not obtain the ... See full document
21
Minimization of Dynamic Rumor Influence with User Experience in Social Networks
... for Influence Maximization in Large Social Networks manages a totally one of a kind examination work several new sparing guess algorithmic program for impact boost, that was acquainted with augment ... See full document
7
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks
... competing methods against four factors: (a) the number of products, (b) the budget per product, (c) the budget per user and (d) the time window T , while fixing the other ...other methods, and the achieved ... See full document
45
Suggestive Node Tracking Enterprising Reception Network Using Stream Influence Maximization
... on influence maximization (IM) in static networks over the last ...classic influence models and linear threshold (LT)) is IMM ...IM methods including IMM cannot efficiently support ... See full document
7
A Novel Approach for Dynamic Rumor Influence Minimization in Social Networks
... Efficient Influence Maximization in Social Networks [15]: In this paper, we tend to think about the temperate influence expansion from 2 correlative ...for Influence Maximization ... See full document
5
A Query Mechanism for Influence Maximization on Specific Users in Social Networks
... the influence spread of a seed set based on independent maximum influence paths (IMIP) among ...that influence the target nodes of a query and approximating optimal seeds from the local regions as ... See full document
12
An efficient coronary heart disease prediction by semi parametric Extended Dynamic Bayesian Network with optimized cut points
... TA methods with DBNs have been applied for the prognosis of the risk for coronary heart disease ...in extended dynamic Bayesian networks (DBNs) with temporal abstraction for coronary heart ... See full document
6
Secure Dynamic Data Aggregation Routing Protocol for Wireless Sensor Networks
... sensor networks. To prolong the network life time, we propose to use a dynamic data aggregation routing protocol, named DABDR along with the earlier filtering scheme for secure and dynamic ... See full document
5
Extended Spectral Nonlinear Conjugate Gradien...
... In this paper, we present extension forms of Dai, Yuan (DY), Fletcher, Reveres (FR) and Conjugate Descent (CD) CG algorithms. The extended method have the sufficient descent and globally convergence properties ... See full document
8
Please be an Influencer?:Contingency Aware Influence Maximization
... Recently, several efficient algorithms have been proposed (and deployed in the real-world) to solve influence maximization prob- lems [2, 5, 24, 26]. Most of these algorithms rely on the following key ... See full document
9
Auctions with Dynamic Populations: Efficiency and Revenue Maximization
... that dynamic variants of the classic Vickrey-Clarke-Groves mechanism may be used to achieve efficient outcomes in dynamic environments, and that they may also be “tweaked” for the purpose of revenue ... See full document
38
Nodes Deployment Strategies for Sensor Networks: An Investigation
... sensor networks,” Computer Communications, ...Sensor Networks,” Procedia Computer Science, Elsevier, ...Sensor Networks,” in IEEE Conference Proceedings (ICACEA), March 2015, ... See full document
7
Energy efficiency maximization of full duplex two way relay assisted device to device communications underlaying cellular networks
... For a higher performance improvement, two-way relay- ing with network coding technique which can improve transmission efficiency will be a promising choice in D2D communications. The authors in [20] demonstrated the ... See full document
19
Throughput Maximization for Optical Burst Switching Networks
... Under compensation of Tcp will surely degrade OBS system performance, whereas overcompensation can often improve the throughput performance. Overcompensation of Tcp will increase the offset time between the control ... See full document
12
A Novel Approach To Detect Trustworthy Nodes Using Audit Based Scheme For WSN
... Ad-hoc Networks (MANETs), the main problem is the security as well as formation of communication amongst nodes is that nodes must work together with each ... See full document
6
Extended and Dynamic Clustering of SMEs
... of extended and dynamic ...business networks able to reconfigure business practices and re-aggregate capabilities according to emerging market shifts and opportunities and production needs, they are ... See full document
11
Volume 66: Automated Verification of Critical Systems 2013
... We consider a dynamic version of the train gate example distributed with U PPAAL : a gate con- trols the access to the one rail over a bridge. When a train approaches the bridge it signals the gate that it is ... See full document
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