MIIB: A Metric to Identify Top Influential Bloggers in a Community

Khan, Hikmat Ullah; Daud, Ali; Malik, Tahir Afzal

doi:10.1371/journal.pone.0138359

Cited by 22 publications

(11 citation statements)

References 18 publications

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“…The most recent and comprehensive work that proposes a new metric, named as MIIB, finds the top influential in a blogosphere community using modular approach. It proposes three modules and then uses standard evaluation measures as well to show the significance of the proposed metric as well as its modules [16]. The current work is continuation of earlier works [17] [18] on modeling in the dynamic research domain of social web and semantic web.…”

Section: Related Workmentioning

confidence: 89%

Exploring the role of sentiments in identification of active and influential bloggers

Alghobiri¹,

Ishfaq

Khan

et al. 2016

IJBTE

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The social Web provides opportunities for the public to have social interactions and online discussions. A large number of online users using the social web sites create a high volume of data. This leads to the emergence of Big Data, which focuses on computational analysis of data to reveal patterns, and associations relating to human interactions. Such analyses have vast applications in various fields such as understanding human behaviors, studying culture influence, and promoting online marketing. The blogs are one of the social web channels that offer a way to discuss various topics. Finding the top bloggers has been a major research problem in the research domain of the social web and big data. Various models and metrics have been proposed to find important blog users in the blogosphere community. In this work, first find the sentiment of blog posts, then we find the active and influential bloggers. Then, we compute various measures to explore the correlation between the sentiment and active as well as bloggers who have impact on other bloggers in online communities. Data computed using the real world blog data reveal that the sentiment is an important factor and should be considered as a feature for finding top bloggers. Sentiment analysis helps to understand how it affects human behaviors.

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Section: Related Workmentioning

confidence: 89%

Exploring the role of sentiments in identification of active and influential bloggers

Alghobiri¹,

Ishfaq

Khan

et al. 2016

IJBTE

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“…In addition to these, we have focused on reviewing the feature and network based methods to find top users , and modelling to find the top users in the blogging community (Khan et al, 2015). A recent study of the conferences, shares the topic sensitive trends in the field of computer architecture only (Martin and Sorin, 2016).…”

Section: Related Workmentioning

confidence: 99%

Finding the top conferences using novel ranking algorithm

Farooq¹

2017

Int. j. adv. appl. sci.

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An analysis of an academic network reveals interesting insights into the prevailing research domains. The scientometrics analysis of an academic network mainly focuses to find the top authors and top journals using Bibliometircs. There are few work identify the top conferences to help the scholars to know about the current trends in computer science and helps them to participate in the conferences to extend their interactions with other researchers. In this paper, we aim to find the top conferences in the computer science research domain. We present a novel algorithm, ConferencRank by adapting the state of the art Pagerank algorithm to rank the conferences. We use the various features as weights to rank the conferences as well. The proposed algorithm has been applied on a very large data set of the DBLP and the results confirm that the proposed algorithm is helpful to find the top conferences and ranks the conferences in a proper manner. As a future work, we will like to extend this work by finding topicsensitive ranking of the conferences.

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“…The authors in applied SPARQL Queries and the ontology based concepts of th semantic web to analyze the role and importance of ontology in the context of semantic web. MIIB (Khan et al, 2015) is an effective framework to identify the top influential bloggers using the properties of bloggers and the blogging networks. MIIB is based on blogger popularity and productivity in a blogging community as well as the importance of the blogging community.…”

Section: Related Workmentioning

confidence: 99%

A comprehensive framework for the semantic cache systems

Alghobiri

Khan

Afzal³

et al. 2016

Int. j. adv. appl. sci

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Semantic Cache deals in both semantic descriptions as well as the results of previous queries providing improved efficiency. The semantic cache is an active research domain due to its novel ideology and advantages. The proposed framework is formulated based on the extensive study in the domain of semantic cache in general and in the study of framework for semantic cache in particular. About all the previous works contributed to the domain knowledge, but the certain raised issues still needed to be addressed. For the proposed framework, about all factors involving semantic caching systems are explored. The novelty of the proposed framework lies in the deep modular approach. The proposed framework, described at the detailed level, may present guidance for future works on semantic cache systems.

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MIIB: A Metric to Identify Top Influential Bloggers in a Community

Cited by 22 publications

References 18 publications

Exploring the role of sentiments in identification of active and influential bloggers

Exploring the role of sentiments in identification of active and influential bloggers

Finding the top conferences using novel ranking algorithm

A comprehensive framework for the semantic cache systems

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