[PDF] Top 20 Influence Maximization Mining for Competitive Social Networks
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Influence Maximization Mining for Competitive Social Networks
... of a node v is dened as the minimum proportion of its neighbors who have already adopted a behavior (suh as joining a riot) that makes v adopt the behavior too. For example, suppose v 's threshold is 25% , v has 100 ... See full document
120
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
Influence Maximization in Social Networks using Deterministic Crowding Algorithm
... In social networks, the behavior and ideas exchange takes place through person to person ...In influence maximization problem, the goal is to find a small subset of network nodes that would ... See full document
8
A Query Mechanism for Influence Maximization on Specific Users in Social Networks
... into social networks by “word-of-mouth” ...marketing, influence maximization provides how to get the maximum profit from all the users in a social network through viral ...However, ... See full document
12
Context based influence maximization with privacy protection in social networks
... the influence by simulating the information diffusion procedures enough ...variable influence for storing the final result is initial- ized to be zero (line ... See full document
21
Extended methods for influence maximization in dynamic networks
... “influence maximization problem” by Kempe et ...real social networks. Therefore, influence maximization prob- lem in dynamic networks should be ... See full document
21
Topic-based Social Influence Measurement for Social Networks
... Neural Networks, Deep Learning, Big Data, Social Networks, Text Mining, NLP, Database, Visualization, and more specific topics such as ...the influence results, there is no standard ... See full document
14
Influence maximization on families of graphs
... the influence max- imization problem as it applies to data ...or networks, this work developed the idea of an in- dividual’s “network value” or influence, which is the net value a marketer gets in ... See full document
62
Optimizing humanitarian aids : formulating influencer advertisement in social networks
... a social network can be a powerful tool for spreading information among ...a social network [13], including researches on the diffusion process in “word of mouth” [14] and “viral marketing” ...[15]. ... See full document
11
Time sensitive influence maximization in social networks
... It is proved that computing the marginal influence is NP-hard for the IC and LT models [19,20]. Thus, Monte-Carlo simulation is used as a common approach for estimating influence spread. This leads to ( 1 ... See full document
16
Constructing Empirical Likelihood Confidence Intervals for Medical Cost Data with Censored Observations
... social networks. With respect to delay tolerant net- works, mobile social networks also consider social patterns as well as mobility ...mobile social net- ...A ... See full document
139
Influence Maximization in Social Networks by Injecting Memes
... Besides the amount of graphs used for machine learning, there is also the parameter of how much of the data is used for training and how much is used for testing. We want to provide an adequate amount for training so the ... See full document
7
From Information Cascade to Knowledge Transfer:Predictive Analyses on Social Networks
... of influence maximization also introduces another problem, ...of influence maximization is to estimate the influence of a node or a ...exact influence, but noted that it can be ... See full document
139
Suggestive Node Tracking Enterprising Reception Network Using Stream Influence Maximization
... for mining top-K influential ...mobile social network into several communities by taking into account information diffusion and selecting communities to find influential nodes by a dynamic ...the ... See full document
7
Survey on Clustering Methods for Intelligent Data Mining
... Online life can open the entryway for the social care area in location cost decrease, item and administration improvement, and product Quality. The proposed work can be useful for in each division to pick up input ... See full document
7
The Advertising Market and the Evolution of the WEB: a study about the company Rock Content
... With all these changes, new market practices and new tools to work are emerging. Content Marketing, Email Marketing, Viral Marketing, Online Influence Marketing, Google Adwords and Facebook Ads exemplify these new ... See full document
15
Extracting Signed Social Networks from Text
... predicted networks mostly agree with the structural balance ...predicted networks is higher than in the shuffled net- works, and hence the balanced triangles are signif- icantly overrepresented compared to ... See full document
9
Influence of Corporate Social Responsibility on Competitive Abilities of Corporations
... corporate social responsibility ...of social development (Silberhorn and Warren, ...of social responsibility is made of the dialectical connection between business and society (Knez-Riedel and ... See full document
11
Privacy Preservation Analysis in Social Network Graphs for avoiding Community Detection and Publishing Sensitive Information
... Today, social networks are publicly available and host a great deal of data on the ...such networks. Due to the complexity of the graph networks, very few methods and algorithms are available ... See full document
6
Improving community health networks for people with severe mental illness : a case study investigation
... their networks, actively engaging in evaluating strategies and forming new plans, will vary from person to person and so too will the degree to which individuals themselves impose constraints on ...One ... See full document
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