Social-Based Conceptual Links: Conceptual Analysis Applied to Social Networks

Stattner, Erick; Collard, Martine

doi:10.1109/asonam.2012.15

Cited by 16 publications

(19 citation statements)

References 10 publications

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“…When these patterns are found on the network with enough repetition, they are seen as frequent patterns and called FCL [6]. More formally, assume that G = (V, E) is a network where V is the set of nodes and E is the set of edges with .…”

Section: Problem Description and Definitionsmentioning

confidence: 99%

“…If , we say that sm is a sub-itemset and m is a super-itemset of sm. For example, sm = xy is a sub-itemset from m = xyz [6]. Set of all t-itemset made of V are shown with .…”

Section: Problem Description and Definitionsmentioning

confidence: 99%

“…Thus, for any itemset m on , is shown as a series of nodes in V that is match the pattern m and defined as follows [6]:…”

Section: Problem Description and Definitionsmentioning

confidence: 99%

“…Authors in [6] described a new approach named conceptual link to describe social networks. Conceptual link provides the knowledge about groups of nodes that densely connected to each other in a social network, and through a reduced structure, which is called as conceptual view, leads to a semantic view of social network.…”

Section: Introductionmentioning

confidence: 99%

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D-MFCLMin: A New Algorithm for Extracting Frequent Conceptual Links from Social Networks

Tabatabaee¹

2017

ijacsa

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Abstract-Massive amounts of data in social networks have made researchers look for ways to display a summary of the information provided and extract knowledge from them. One of the new approaches to describe knowledge of the social network is through a concise structure called conceptual view. In order to build this view, it is first needed to extract conceptual links from the intended network. However, extracting these links for large scale networks is very time consuming. In this paper, a new algorithm for extracting frequent conceptual link from social networks is provided where by introducing the concept of dependency, it is tried to accelerate the process of extracting conceptual links. Although the proposed algorithm will be able to accelerate this process if there are dependencies between data, but the tests carried out on Pokec social network, which lacks dependency between its data, revealed that absence of dependency, increases execution time of extracting conceptual links only up to 15 percent.

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Section: Problem Description and Definitionsmentioning

confidence: 99%

“…If , we say that sm is a sub-itemset and m is a super-itemset of sm. For example, sm = xy is a sub-itemset from m = xyz [6]. Set of all t-itemset made of V are shown with .…”

Section: Problem Description and Definitionsmentioning

confidence: 99%

“…Thus, for any itemset m on , is shown as a series of nodes in V that is match the pattern m and defined as follows [6]:…”

Section: Problem Description and Definitionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

D-MFCLMin: A New Algorithm for Extracting Frequent Conceptual Links from Social Networks

Tabatabaee¹

2017

ijacsa

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“…In the field of complex data structures such as networks, the issue of exploring frequent items is discussed in form of finding a subset of nodes (sub-graphs) that occur frequently arises in a network known as graph mining. Although primitive methods in this field have been using measures deriving from graph theory [2], new approaches known as social networks mining or simply link mining try to examine features of node in addition to the network structure to extract a new set of patterns [3][4][5][6] described a new approach as conceptual link to describe social networking. Conceptual link provides the knowledge about groups of nodes connected to each other in a dense social network, and through a reduced structure, which is called as conceptual view, leads to a meaning display of social network.…”

Section: Introductionmentioning

confidence: 99%

Offering a New Approach for Extracting Recurring Conceptual Links from Social Networks

Tabatabaee

2018

IRATJ

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Massive amounts of data in social networks have made researchers look for ways to display a summary of the information provided and extract knowledge from them. Basic methods in the field used the criteria coming from graph theory, but new approaches are trying to take advantage of the realm of traditional data exploration and linked data. One of these new approaches is the approach called conceptual link approach, which was introduced to describe the social networks. In this approach, using the concept of contextual links, knowledge of the social network through a conceptual view of the dramatic structure is summarized as means of social networking. Conceptual perspective provides a summary of existing knowledge on a social network.

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Encyclopedia of Social Network Analysis and Mining

Alhajj¹,

Rokne²

2016

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This entry discusses the problem of describing some communities identified in a complex network of interest, in a way allowing to interpret them. We suppose the community structure has already been detected through one of the many methods proposed in the literature. The question is then to know how to extract valuable information from this first result, in order to allow human interpretation. This requires subsequent processing, which we describe in the rest of this entry.

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Social-Based Conceptual Links: Conceptual Analysis Applied to Social Networks

Cited by 16 publications

References 10 publications

D-MFCLMin: A New Algorithm for Extracting Frequent Conceptual Links from Social Networks

D-MFCLMin: A New Algorithm for Extracting Frequent Conceptual Links from Social Networks

Offering a New Approach for Extracting Recurring Conceptual Links from Social Networks

Encyclopedia of Social Network Analysis and Mining

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