基于用户相对影响权重的热点事件传播阈值模型

doi:10.11959/j.issn.2096-109x.2017.00195

Abstract

Abstract:

A new relative influence weight function was proposed in combination with the existing linear threshold model.Combining with the information itself sensitivity and the threshold characteristic of the node itself,a threshold model(URLT model) was proposed,which can measure the information communication ability.By simulating the spread of different networks,different sensitivity information and different node thresholds,and comparing the final propagation situation,the experimental results show that the final influence range is consistent with the real spread situation.Therefore,the model has some reference value for the discovery and suppression of the law of information dissemination.

Key words: hot event, threshold, relative weight, network spread

CLC Number:

TN929

De-yang ZHANG,Yi-liang HAN,Xiao-long LI,Feng PAN,Yi-xing ZHOU. Threshold model for hot events spreading based on relative impact weight of the user[J]. Chinese Journal of Network and Information Security, 2017, 3(9): 24-30.

Figures/Tables 10

类型	度量方法	公式	方法描述
	入度	$D e g^{in} (v_{i}) = \sum_{j} a_{j, i}$	反映该用户的受关注程度
基于节点度	出度	$D e g^{out} (v_{i}) = \sum_{j} a_{i, j}$	反映该节点对其他节点的关注程度
	度中心度	$C^{D E G} (v_{i}) = \frac{D e g (v_{i})}{n - 1}$	反映一个节点对邻居节点的平均影响力
基于最短路径	紧密中心度	$C^{C L O} (v_{i}) = \frac{1}{\sum_{v_{j} \in V \ v_{i}} {g^{'}}_{i j}^{}}$	一个节点对其他节点的影响，反映用户的社会关系强弱
	介数中心度	$C^{B E T} (v_{i}) = \frac{\sum_{s < t} \| {g_{s t}^{i}} \| / \| {g_{s t}} \|}{n (n - 1) / 2}$	反映社会网络中节点的位置重要程度

References 12

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Threshold model for hot events spreading based on relative impact weight of the user

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