[PDF] Top 20 Influence Maximization in Social Networks using Deterministic Crowding Algorithm
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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
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Efficient Influence Maximization in Social Networks
... their influence spread getting close to that of the greedy al- gorithm and their extremely fast speed, they are the promising can- didate to be actually used on large-scale real-life social ...the ... See full document
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Time sensitive influence maximization in social networks
... A social network can be modeled as a directed graph G=(V, E), where V is the set of nodes and E is the set of edges or ...section, influence maximization is a fundamental problem in social ... See full document
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CIM: Community-Based Influence Maximization in Social Networks
... the influence maximization problem based on HDM by exploring the community structures embedded naturally in social ...the influence maximization problem and the properties of community ... See full document
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Context based influence maximization with privacy protection in social networks
... in social networks can be found in [32, ...on social networks, the IDC model for diffusing information under privacy protec- tion mechanisms is ...solving influence maxi- mization on ... See full document
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A Query Mechanism for Influence Maximization on Specific Users in Social Networks
... labeled influence maximization; social networks; target marketing; proximity, Graph algorithms, Independent cascade model, social networks ...online social networks ... See full document
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A Query Mechanism for Influence Maximization on Specific Users in Social Networks
... greedy algorithm about 6 times faster in the ...the social networks are connected to each other for various ...the Influence Maximization problem taking into account the specific area ... See full document
12
Influence maximization in complex social networks based on community structure
... online social networks has become valuable to e-commerce marketing ...these networks, marketing information can be released faster and therefore promoted more effectively by influencers on online ... See full document
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Targeted Influence Maximization In Labeled Social Networks with Non-Target Constraints
... online social networks in the past decade has paved way for a new marketing strategy: viral marketing, where a small number of indi- viduals or communities are targeted to initiate a process of advertising ... See full document
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Recent Advances in Information Diffusion and Influence Maximization of Complex Social Networks
... 1.5 Influence Maximization and Approximation Algorithms ...1.5.1 Influence Maximization A social network is the graph of relationships and interactions within a group of in- dividuals ... See full document
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Influence maximization in noncooperative social networks
... infiuence maximization problem in noncooperative social ...collaboration networks show that our proposed strategy outperforms the original scheme under var ious noncooperative scenarios, that is, ... See full document
7
Competitive Influence Maximization in Social Networks
... Abstract. Social networks often serve as a medium for the diffusion of ideas or ...products using viral ...approximation algorithm for computing the best response to an opponent’s strategy, ... See full document
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Influence Maximization in Social Networks by Injecting Memes
... of social networks opens up in- teresting discussions concerning the ...a social network should be chosen for initial injection of memes or a new product? To what extent are the node features crucial ... See full document
7
Influence Maximization Mining for Competitive Social Networks
... inuene maximization omes from viral marketing, a marketing tehnique suh that if a ompany wants to market a new produt in the population, instead of targeting all possible ustomers, they would like to target a ... See full document
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Influence maximization in social Networks when negative opinions may emerge and propagate
... Abstract Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influ- ence under ... See full document
17
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
A novel approach for influence maximization in social networking
... Keywords- Influence maximization, social networking, greedy algorithm ...online social networks, many of online users are using social networks like ... See full document
5
An Exploration of Broader Influence Maximization in Timeliness Networks with Opportunistic Selection
... classic influence maximization in Online Social Networks (OSNs) is to maximize the spread of influence with a fixed budget constraint, ...ence maximization overlooked the ... See full document
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Influence Maximization in GOLAP
... labeled social networks [27,28], multiple labeled networks [29], and dynamic social networks ...weighted networks and do not consider negative weighted graphs [35, ...different ... See full document
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Optimal DG placement for benefit maximization in distribution networks by using Dragonfly algorithm
... nature-inspired algorithm called Dragonfly algorithm is used to determine the optimal DG units size in this ...This algorithm mainly focused on the dragonflies how they look for food or away from ... See full document
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