Authoritative Sources in a Hyperlinked Environment

Kleinberg, Jon

doi:10.1515/9781400841356.514

Cited by 1,436 publications

(2,091 citation statements)

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“…6). The same ranking of CPu (1), AC (0.997) and AGm (0.817) holds for the authoritativeness as well (Kleinberg 1999). The local parameters have been visualized in parallel coordinates (Appendix Fig.…”

Section: Global and Local Connectome Analysis Of The Bg2 Networkmentioning

confidence: 94%

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The connectome of the basal ganglia

et al. 2014

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The basal ganglia of the laboratory rat consist of a few core regions that are specifically interconnected by efferents and afferents of the central nervous system. In nearly 800 reports of tract-tracing investigations the connectivity of the basal ganglia is documented. The readout of connectivity data and the collation of all the connections of these reports in a database allows to generate a connectome. The collation, curation and analysis of such a huge amount of connectivity data is a great challenge and has not been performed before (Bohland et al. PloS One 4:e7200, 2009) in large connectomics projects based on meta-analysis of tract-tracing studies. Here, the basal ganglia connectome of the rat has been generated and analyzed using the consistent cross-platform and generic framework neuroVIISAS. Several advances of this connectome meta-study have been made: the collation of laterality data, the network-analysis of connectivity strengths and the assignment of regions to a hierarchically organized terminology. The basal ganglia connectome offers differences in contralateral connectivity of motoric regions in contrast to other regions. A modularity analysis of the weighted and directed connectome produced a specific grouping of regions. This result indicates a correlation of structural and functional subsystems. As a new finding, significant reciprocal connections of specific network motifs in this connectome were detected. All three principal basal ganglia pathways (direct, indirect, hyperdirect) could be determined in the connectome. By identifying these pathways it was found that there exist many further equivalent pathways possessing the same length and mean connectivity weight as the principal pathways. Based on the connectome data it is unknown why an excitation pattern may prefer principal rather than other equivalent pathways. In addition to these new findings the local graph-theoretical features of regions of the connectome have been determined. By performing graph theoretical analyses it turns out that beside the caudate putamen further regions like the mesencephalic reticular formation, amygdaloid complex and ventral tegmental area are important nodes in the basal ganglia connectome. The connectome data of this meta-study of tract-tracing reports of the basal ganglia are available for further network studies, the integration into neocortical connectomes and further extensive investigations of the basal ganglia dynamics in population simulations.

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Section: Global and Local Connectome Analysis Of The Bg2 Networkmentioning

confidence: 94%

“…Hubness and authoritativeness: A hub is a node that points to many authorities and an authority is a node that has numerous input connections from many hubs (Kleinberg 1999;Sporns et al 2007). The hubness HubðiÞ of a node i is:…”

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confidence: 99%

The connectome of the basal ganglia

et al. 2014

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“…key word w. Several approaches for measuring news story chain influence have been proposed, such as random graph simulations [22], authority computation [23] and random works method [24].…”

Section: Measuring Influence Of a Chainmentioning

confidence: 99%

Personalized news recommendation based on articles chain building

Dong

Chen

2015

Neural Comput & Applic

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News personalized recommendation has long been a favorite research in recommender. Previous methods strive to satisfy the users by constructing the users' preference profiles. Traditionally, most of recent researches use users' reading history (content based) or access pattern (collaborative filtering based) to recommend newly published news to them. In this way, they only considered the relationship between news articles and the users and ignored the context of news report background. In other words, they fail to provide more useful information with considering the progression of the news story chain. In this paper, we propose to define the quality of a news story chain. Besides, we propose a method to construct a news story chain on a news corpus with date information. At last, we use a greedy selection method for filtering the final recommended news articles with considering accuracy and diversity. In this way, we can provide the news articles for users and meet their requirement: after reading the recommended news, the user gains a better understanding of the progression of the news story they read before. Finally, we designed several experiments compared to the state-ofthe-art approaches, and the experimental results show that our proposed method significantly improves the accuracy, diversity and NDCG metrics.

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“…The first phase uses structural information to identify software layers [SDDD10a]. To this end, a customization of the Kleinberg algorithm [Kle99] is used. The second phase uses lexical information extracted from the source code to identify similarity among pairs of classes and then partitions each identified layer into software modules.…”

Section: Introductionmentioning

confidence: 99%

Using fold-in and fold-out in the architecture recovery of software systems

2012

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In this paper we present an approach to automate the architecture recovery process of software systems. The approach is built on information retrieval and clustering techniques, and, in particular, uses Latent Semantic Indexing (LSI) to get similarities among software entities (e.g., programs or classes) and the k-means clustering algorithm to form groups of software entities that implement similar functionality. In order to improve computational time in the context of the software evolution and then reduce energy waste, the architecture recovery process can be also applied by using fold-in and fold-out mechanisms that, respectively, add and remove software entities to the LSI representation of the understudy software system. The approach has been implemented in a prototype of a supporting software system as an Eclipse plug-in. Finally, to assess the approach and the plug-in, we have conducted an empirical investigation on five open source software systems implemented using the programming languages Java and C/C++. In the investigation special emphasis has been also given to the effect of using the fold-in and fold-out mechanisms

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Authoritative Sources in a Hyperlinked Environment

Cited by 1,436 publications

References 20 publications

The connectome of the basal ganglia

The connectome of the basal ganglia

Personalized news recommendation based on articles chain building

Using fold-in and fold-out in the architecture recovery of software systems

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