scholarly journals Iterative resource allocation based on propagation feature of node for identifying the influential nodes

2015 ◽  
Vol 379 (38) ◽  
pp. 2272-2276 ◽  
Author(s):  
Lin-Feng Zhong ◽  
Jian-Guo Liu ◽  
Ming-Sheng Shang
Keyword(s):  
Resource Allocation ◽  
Influential Nodes ◽  
Propagation Feature

Identifying Important Packages of Object-Oriented Software Using Weighted k-Core Decomposition

2014 ◽  
Vol 23 (4) ◽  
pp. 461-476 ◽  
Author(s):  
Weifeng Pan ◽  
Bo Hu ◽  
Bo Jiang ◽  
Bo Xie
Keyword(s):  
Resource Allocation ◽  
Decomposition Method ◽  
Object Oriented ◽  
Closeness Centrality ◽  
The Other ◽  
Software Systems ◽  
Degree Centrality ◽  
Software Network ◽  
Influential Nodes ◽  
Better Than

AbstractIdentifying important entities in software systems has many implications for effective resource allocation. Complex network research opens new opportunities for identifying important entities from software networks. However, the existing methods only focus on identifying important classes. Little work has been done on the identification of important packages. Moreover, the metrics they used to quantify the class importance are only designed for unweighted software networks and cannot fit in with the weighted software networks. To overcome these limitations, in this article, we introduce the weighted k-core decomposition method (Wk-core) to identify the important packages. First, we use a weighted software network to describe packages and their internal dependencies. Second, we use Wk-core to partition a software network into a layered structure. Then, the packages that are denoted by the nodes within the main core are the identified important packages. To evaluate our method, we use a variant of the susceptible–infectious–recovered model to examine the spreading influence of the nodes in six real weighted software networks. The results show that our method can well identify influential nodes, better than other four methods (i.e., original k-core decomposition, degree centrality, closeness centrality, and betweenness centrality methods). Furthermore, we demonstrate our method on two software networks and show that the important packages identified by our method are more meaningful from a software engineering perspective when compared with the other methods.

scholarly journals Information Entropy Based on Propagation Feature of Node for Identifying the Influential Nodes

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Linfeng Zhong ◽  
Yu Bai ◽  
Yan Tian ◽  
Chen Luo ◽  
Jin Huang ◽  
...  
Keyword(s):  
Information Entropy ◽  
Traffic Control ◽  
Sir Model ◽  
Spreading Rate ◽  
Viral Marketing ◽  
Kendall’S Tau ◽  
Kendall's Tau ◽  
Influential Nodes ◽  
Empirical Networks ◽  
Propagation Feature

For understanding and controlling spreading in complex networks, identifying the most influential nodes, which can be applied to disease control, viral marketing, air traffic control, and many other fields, is of great importance. By taking the effect of the spreading rate on information entropy into account, we proposed an improved information entropy (IIE) method. Compared to the benchmark methods in the six different empirical networks, the IIE method has been found with a better performance on Kendall’s Tau and imprecision function under the Susceptible Infected Recovered (SIR) model. Especially in the Facebook network, Kendall’s Tau can grow by 120% as compared with the original IE method. And, there is also an equally good performance in the comparative analysis of imprecise functions. The imprecise functions’ value of the IIE method is smaller than the benchmark methods in six networks.

Folk-economic beliefs as moral intuitions

2018 ◽  
Vol 41 ◽  
Author(s):  
Neil Malhotra
Keyword(s):  
Resource Allocation ◽  
Moral Intuitions ◽  
Economic Beliefs ◽  
Evolutionary Explanations

AbstractAlthough Boyer & Petersen's (B&P's) cataloguing of and evolutionary explanations for folk-economic beliefs is important and valuable, the authors fail to connect their theories to existing explanations for why people do not think like economists. For instance, people often have moral intuitions akin to principles of fairness and justice that conflict with utilitarian approaches to resource allocation.

Mother or Wife?

2012 ◽  
Vol 43 (4) ◽  
pp. 232-242 ◽  
Author(s):  
Phia S. Salter ◽  
Glenn Adams
Keyword(s):  
United States ◽  
Resource Allocation ◽  
Cultural Psychology ◽  
The United States ◽  
Personal Relationship ◽  
Three Dimensions ◽  
Church Membership ◽  
Cultural Dynamics ◽  
Psychology Perspective ◽  
Cultural Ecological

Inspired by “Mother or Wife” African dilemma tales, the present research utilizes a cultural psychology perspective to explore the dynamic, mutual constitution of personal relationship tendencies and cultural-ecological affordances for neoliberal subjectivity and abstracted independence. We administered a resource allocation task in Ghana and the United States to assess the prioritization of conjugal/nuclear relationships over consanguine/kin relationships along three dimensions of sociocultural variation: nation (American and Ghanaian), residence (urban and rural), and church membership (Pentecostal Charismatic and Traditional Western Mission). Results show that tendencies to prioritize nuclear over kin relationships – especially spouses over parents – were greater among participants in the first compared to the second of each pair. Discussion considers issues for a cultural psychology of cultural dynamics.

Application of Information Introduced to Dynamic Message Processing and Enjoyment

2018 ◽  
Vol 30 (4) ◽  
pp. 196-206 ◽  
Author(s):  
Byungho Park ◽  
Rachel L. Bailey
Keyword(s):  
Resource Allocation ◽  
Recognition Memory ◽  
Emotional Processing ◽  
Orienting Response ◽  
Structural Features ◽  
Cognitive Resources ◽  
Coding System ◽  
Message Complexity ◽  
Cognitive Resource ◽  
Cognitive Overload

Abstract. In an effort to quantify message complexity in such a way that predictions regarding the moment-to-moment cognitive and emotional processing of viewers would be made, Lang and her colleagues devised the coding system information introduced (or ii). This coding system quantifies the number of structural features that are known to consume cognitive resources and considers it in combination with the number of camera changes (cc) in the video, which supply additional cognitive resources owing to their elicitation of an orienting response. This study further validates ii using psychophysiological responses that index cognitive resource allocation and recognition memory. We also pose two novel hypotheses regarding the confluence of controlled and automatic processing and the effect of cognitive overload on enjoyment of messages. Thirty television advertisements were selected from a pool of 172 (all 20 s in length) based on their ii/cc ratio and ratings for their arousing content. Heart rate change over time showed significant deceleration (indicative of increased cognitive resource allocation) for messages with greater ii/cc ratios. Further, recognition memory worsened as ii/cc increased. It was also found that message complexity increases both automatic and controlled allocations to processing, and that the most complex messages may have created a state of cognitive overload, which was received as enjoyable by the participants in this television context.

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