In Social Network Analysis, Which Centrality Index Should I Use? Theoretical Differences and Empirical Similarities among Top Centralities

Iacobucci, Dawn; McBride, Rebecca; Popovich, Deidre; Rouziou, Maria

doi:10.2139/ssrn.3425975

Cited by 10 publications

(9 citation statements)

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“…It measures the number of direct connections that a node has to other nodes and assumes that more central nodes have more direct connections to other nodes. In the words of Freeman (1978/1979: 219), central nodes are ‘in the thick of things’ (see also Iacobucci et al, 2017: 76). We use eigenvector values as our measure of degree centrality.…”

Section: Methods and Resultsmentioning

confidence: 99%

“…Closeness centrality is the second type of centrality and it measures the shortest path between the different network nodes, with the assumption that the more central nodes are those with shorter distances to other nodes. Central nodes are those that can directly reach other nodes and/or reach them via short geodesics (Iacobucci et al, 2017: 77). We use the Lin measure, which is calculated as ‘the inverse of the average distance (where) the smaller the value, the more central is the node’ (Borgatti and Everett, 2006).…”

Section: Methods and Resultsmentioning

confidence: 99%

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The centrality of ethical utterances within professional narratives

et al. 2021

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This study examines the centrality of ethics within editorials published in the Canadian Institute of Chartered Accountants’ professional journal, CA Magazine, over the 1912 to 2010 period. Starting from the twin assumptions that editorials speak about appropriate professional behavior using a variety of words such as ‘ethics,’ ‘conduct,’ and ‘codes,’ and that appropriate professional behavior is situational, we use topic modeling techniques to identify these dimensions of ethical discourse. We then use social network analysis methods to map the position and centrality of ethics within the editorials across time. The results show that enunciations about appropriate professional conduct are broader than simply enunciations using the word ‘ethics’. The results also highlight that ethical utterances become more central, not less central, over time.

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Section: Methods and Resultsmentioning

confidence: 99%

Section: Methods and Resultsmentioning

confidence: 99%

The centrality of ethical utterances within professional narratives

et al. 2021

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“…The in-degree centrality does not correlate with the motivating capability (Pearson’s ρ between the in-degrees and the motivating capability of the nodes is 0.38 at Company A; −0.09 at Company B; and 0.21 at Company C), so the two dimensions provide additional information about actors. However, high and low social capital correlate with the in-degree centrality which reflects the eigenvector centrality captures the importance of the actors 57 . Eigenvector centralities of actors on the L2 layer are also well correlated with in-degrees (Pearson’s ρ between the in-degree and the eigenvector centrality of the nodes is 0.71 at Company A; 0.68 at Company B; and 0.67 at Company C).…”

Section: Resultsmentioning

confidence: 99%

Frequent pattern mining in multidimensional organizational networks

Gadár¹,

Abonyi

2019

Sci Rep

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Network analysis can be applied to understand organizations based on patterns of communication, knowledge flows, trust, and the proximity of employees. A multidimensional organizational network was designed, and association rule mining of the edge labels applied to reveal how relationships, motivations, and perceptions determine each other in different scopes of activities and types of organizations. Frequent itemset-based similarity analysis of the nodes provides the opportunity to characterize typical roles in organizations and clusters of co-workers. A survey was designed to define 15 layers of the organizational network and demonstrate the applicability of the method in three companies. The novelty of our approach resides in the evaluation of people in organizations as frequent multidimensional patterns of multilayer networks. The results illustrate that the overlapping edges of the proposed multilayer network can be used to highlight the motivation and managerial capabilities of the leaders and to find similarly perceived key persons.

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“…We used three centrality indices (strength, betweenness, and closeness) to identify the most central symptoms 32 , 33 . Strength is a measure of network connectivity.…”

Section: Methodsmentioning

confidence: 99%

Identifying subtypes of HIV/AIDS-related symptoms in China using latent profile analysis and symptom networks

Yang

Zhu

Wen

et al. 2022

Sci Rep

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The identification of subgroups of people living with HIV in China based on the severity of symptom clusters and individual symptoms is crucial to determine group-specific symptom management strategies. Participants reported 27 highly prevalent HIV/AIDS-related symptoms. Latent profile analysis based on symptom severity was used to identify person-centered subtypes of HIV/AIDS-related symptoms. Symptom networks were compared among subgroups identified by latent profile analysis. A total of 2927 eligible people living with HIV (PWH) were included in the analysis. Five profiles were identified: “Profile 1: all low symptom severity” (n2 = 2094, 71.54%), “Profile 2: medium symptom severity with syndemic conditions” (n3 = 109, 3.72%), “Profile 3: medium symptom severity with low functional status” (n1 = 165, 5.64%), “Profile 4: medium symptom severity in transitional period” (n4 = 448, 15.31%), and “Profile 5: all high symptom severity” (n5 = 111, 3.79%). Except for Profile 1 and Profile 5, the symptom severity was similar among the other three profiles. Profiles 1 (2.09 ± 0.52) and 4 (2.44 ± 0.66) had the smallest ∑s values, and Profiles 2 (4.38 ± 1.40) and 5 (4.39 ± 1.22) had the largest ∑s values. Our study demonstrates the need for health care professionals to provide PWH with group-specific symptom management interventions based on five profiles to improve their physical and psychological well-being. Future studies should be conducted in different contexts using different symptom checklists to further validate our results.

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In Social Network Analysis, Which Centrality Index Should I Use? Theoretical Differences and Empirical Similarities among Top Centralities

Cited by 10 publications

References 0 publications

The centrality of ethical utterances within professional narratives

The centrality of ethical utterances within professional narratives

Frequent pattern mining in multidimensional organizational networks

Identifying subtypes of HIV/AIDS-related symptoms in China using latent profile analysis and symptom networks

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