Social network analysis: a powerful strategy, also for the information sciences

Otte, Evelien; Rousseau, Ronald

doi:10.1177/016555150202800601

Cited by 1,296 publications

(362 citation statements)

References 35 publications

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“…Of these, degree is a simple and evident measure, which was identified as the number of links between a node with its neighboring nodes (Otte and Rousseau, 2002). In the present study, we studied the degree distribution of genes.…”

Section: Identification Of Hub Genes In Targeted Network and Selectimentioning

confidence: 98%

Identification of altered pathways in hypertrophic cardiomyopathy based on combined data of protein-protein interactions and molecular pathways

Sw¹,

Wang²,

Pan³

2016

Genet. Mol. Res.

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ABSTRACT. The purpose of our study was to identify molecular pathways altered during the pathogenesis of hypertrophic cardiomyopathy (HCM) based on data from the STRING proteinprotein interaction (PPI) database and the REACTOME pathway database. Identification of differentially expressed genes (DEGs) was carried out, followed by construction of a targeted network and selection of hub genes in this network. PPI pairs in each pathway were extracted, and altered pathways were identified when the said pathway differed from common interactions within the targeted network with a P value of less than 0.05. These altered pathways were further validated based on enrichment of hub genes in pathways within the targeted network. Through this method, we identified 1085 DEGs. The DEGs were inputted into the STRING database, and the resulting targeted network was composed of 3631 interactions. Based on the selection criteria, 30 significantly changed pathways were screened in total. Among these, the top five pathways were found to be involved in immune modulation, signal transduction, hemostasis, and G protein-coupled receptor signaling. Similarly, enrichment in hub gene interactions was also found in members within the altered pathways, including those involved in the innate immune system, the immune system, and signal transduction pathways. These altered pathways are important for understanding the underlying mechanisms of HCM, and can be used for clinical application of treatments in the future.

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Section: Identification Of Hub Genes In Targeted Network and Selectimentioning

confidence: 98%

Identification of altered pathways in hypertrophic cardiomyopathy based on combined data of protein-protein interactions and molecular pathways

Sw¹,

Wang²,

Pan³

2016

Genet. Mol. Res.

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“…This process provides a methodology for analysing complex social structures (Otte & Rousseau, 2002). SNA examines the specific structural attributes of the relationships that are established (Wasserman & Faust, 1994) and therefore is used to identify the central, prominent or influential individuals within a network.…”

Section: Social Network Analysis (Sna) and Centrality Measuresmentioning

confidence: 99%

“…In other words, closeness is a measure of how long it will take information to spread from a given individual to all others in the network. An individual with a high closeness centrality is said to be connected to all others through a small number of connections (Otte & Rousseau, 2002) and reflects the ease of communication and flow of resources between the members of the network (Haas, 2009). …”

Section: Social Network Analysis (Sna) and Centrality Measuresmentioning

confidence: 99%

Social capital from online discussion forums: Differences between online and blended modes of delivery

Carceller

Dawson

Lockyer

2015

AJET

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This study explored the concept of social capital in higher education contexts by investigating student discussion forum activity and academic performance. To address these aims online discussion forum logs, student marks and teaching delivery method (blended or fully online) data were extracted from the universities learning management system (LMS). Student social network centrality measures were then calculated from the course discussion activity and correlated against student academic performance for each delivery mode. Drawing on social capital and social network theories the analyses identified that in comparison to low performing students the high-performing group held more central positions in their networks and tended to establish dense social connections with students of a similar academic ability. It was also observed that the relationships formed in blended teaching units were of a greater intensity and reciprocity than those established in fully online teaching units indicating a higher level of social capital was reached. This difference in the amount of available social capital between the two teaching modes suggests that students in blended units have comparatively greater access to resources embedded within the network, which in turn can be mobilised to assist them in their academic endeavours.

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“…During the analysis of co-authorship patterns in a single journal or conference, many authors adopt and implement methods from Social Network Analysis (SNA), the second stream of the research methodology which is relevant in this case [3].…”

Section: Introductionmentioning

confidence: 99%

Social Network Analysis of Scientific Articles Published by Food Policy

et al. 2018

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Abstract:The article analyses co-authorship and co-citation networks in Food Policy, which is the most important agricultural policy journal in the field of agricultural economics. The paper highlights the principal researchers in this field together with their authorship and citation networks on the basis of 714 articles written between 2006 and 2015. Results suggest that the majority of the articles were written by a small number of researchers, indicating that groups and central authors play an important role in scientific advances. It also turns out that the number of articles and the central role played in the network are not related, contrary to expectations. Results also suggest that groups cite themselves more often than average, thereby boosting the scientific advancement of their own members.

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Social network analysis: a powerful strategy, also for the information sciences

Cited by 1,296 publications

References 35 publications

Identification of altered pathways in hypertrophic cardiomyopathy based on combined data of protein-protein interactions and molecular pathways

Identification of altered pathways in hypertrophic cardiomyopathy based on combined data of protein-protein interactions and molecular pathways

Social capital from online discussion forums: Differences between online and blended modes of delivery

Social Network Analysis of Scientific Articles Published by Food Policy

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