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193
Influential Nodes in a Diffusion Model for Social Networks
- IN ICALP
, 2005
"... We study the problem of maximizing the expected spread of an innovation or behavior within a social network, in the presence of "word-of-mouth" referral. Our work builds on the observation that individuals' decisions to purchase a product or adopt an innovation are strongly influe ..."
Abstract
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Cited by 152 (3 self)
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We study the problem of maximizing the expected spread of an innovation or behavior within a social network, in the presence of "word-of-mouth" referral. Our work builds on the observation that individuals' decisions to purchase a product or adopt an innovation are strongly influenced by recommendations from their friends and acquaintances. Understanding
On Influential Node Discovery in Dynamic Social Networks
"... The problem of maximizing influence spread has been widely studied in social networks, because of its tremendous number of applications in determining critical points in a social network for information dissemination. All the techniques proposed in the literature are inherently static in nature, whi ..."
Abstract
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Cited by 3 (1 self)
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of the corresponding interaction time. Furthermore, such interactions are quite fluid and evolving, as a result of which the topology of the underlying network may change rapidly, as new interactions form and others terminate. In such cases, it may be desirable to determine the influential nodes based on the dynamic
WELL-DEFINED APPROACHES FOR IDENTIFYING INFLUENTIAL NODES IN A SOCIAL NETWORK
"... Social networks often serve as a medium for spreading information, ideas or innovations. An individual's decision on buying a product or innovation will be highly dependent on the choices made by the individual's peers or neighbors in the social network. Social networks contain graphs of i ..."
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of individuals and their relationships, collaborations, or advice seeking relationships. The member or a node that has a large number of contacts with other nodes is referred as an information hub or influential node. Although members have numerous connections, only a fraction of those so called friends may
Extracting influential nodes for information diffusion on a social network
, 2007
"... We consider the combinatorial optimization problem of finding the most influential nodes on a large-scale social network for two widely-used fundamental stochastic diffusion models. It was shown that a natural greedy strategy can give a good approximate solution to this optimization problem. However ..."
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Cited by 28 (8 self)
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We consider the combinatorial optimization problem of finding the most influential nodes on a large-scale social network for two widely-used fundamental stochastic diffusion models. It was shown that a natural greedy strategy can give a good approximate solution to this optimization problem
AN IMPROVISED MODEL FOR IDENTIFYING INFLUENTIAL NODES IN MULTI-PARAMETER SOCIAL NETWORKS
"... Influence Maximization is one of the major tasks in the field of viral marketing and community detection. Based on the observation that social networks in general are multi-parameter graphs and viral marketing or Influence Maximization is based on few parameters, we propose to convert the general so ..."
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social networks into “interest graphs”. We have proposed an improvised model for identifying influential nodes in multi-parameter social networks using these “interest graphs”. The experiments conducted on these interest graphs have shown better results than the method proposed in [8].
Identifying Influential Nodes in Online Social Networks Using Principal Component Centrality
"... Abstract—Identifying the most influential nodes in social net-works is a key problem in social network analysis. However, without a strict definition of centrality the notion of what constitutes a central node in a network changes with application and the type of commodity flowing through a network. ..."
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Cited by 1 (0 self)
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Abstract—Identifying the most influential nodes in social net-works is a key problem in social network analysis. However, without a strict definition of centrality the notion of what constitutes a central node in a network changes with application and the type of commodity flowing through a network
Analyzing Two Competing Epidemic Processes- The Power of Influential Nodes-
"... Abstract. Epidemic processes are widely used for the design and analysis of algorithms in distributed computing. On the other side, such processes can also model the spread of a malicious piece of informa-tion in a distributed environment. In this paper, we consider two competing epidemic type proce ..."
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processes in a network modeled by a random graph with power law degree distribution. The first process V models the spread of a malicious piece of information, while the second one P starts with a certain delay w.r.t. V, and distributes a message which immunizes (uninfected) vertices. A node infected
Extracting Top-k Most Influential Nodes by Activity Analysis
"... Can we statistically compute social influence and under-stand quantitatively to what extent people are likely to be influenced by the opinion or the decision of their friends, friends of friends, or acquaintances? An in-depth under-standing of such social influence and the diffusion process of such ..."
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of such social influence will help us better address the ques-tion of to what extent the ’word of mouth ’ effects will take hold on social networks. Most of the existing social in-fluence models to define the influence diffusion are solely based on topological connectivity of social network nodes. In this paper
Results 1 - 10
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193