Neural Networks for Fast Estimation of Social Network Centrality Measures

2015 ◽  
pp. 175-184 ◽  
Author(s):  
Ashok Kumar ◽  
Kishan G. Mehrotra ◽  
Chilukuri K. Mohan
Keyword(s):  
Neural Networks ◽  
Social Network ◽  
Centrality Measures ◽  
Network Centrality ◽  
Fast Estimation ◽  
Social Network Centrality

Algorithms for fast estimation of social network centrality measures

2018 ◽  
Vol 5 (4) ◽  
pp. 216
Author(s):  
Ashok Kumar ◽  
R. Chulaka Gunasekara ◽  
Kishan G. Mehrotra ◽  
Chilukuri K. Mohan
Keyword(s):  
Social Network ◽  
Centrality Measures ◽  
Network Centrality ◽  
Fast Estimation ◽  
Social Network Centrality

Algorithms for fast estimation of social network centrality measures

2018 ◽  
Vol 5 (4) ◽  
pp. 216 ◽  
Author(s):  
Ashok Kumar ◽  
R. Chulaka Gunasekara ◽  
Kishan G. Mehrotra ◽  
Chilukuri K. Mohan
Keyword(s):  
Social Network ◽  
Centrality Measures ◽  
Network Centrality ◽  
Fast Estimation ◽  
Social Network Centrality

Comparison and Application of Metrics That Define the Components Modularity in Complex Products

2008 ◽  
Author(s):  
Qi D. Van Eikema Hommes
Keyword(s):  
Social Network ◽  
Centrality Measures ◽  
Software Systems ◽  
Network Centrality ◽  
Good Pair ◽  
Centrality Metrics ◽  
The Social ◽  
Social Network Centrality ◽  
Sample Test

As the content and variety of technology increases in automobiles, the complexity of the system increases as well. Decomposing systems into modules is one of the ways to manage and reduce system complexity. This paper surveys and compares a number of state-of-art components modularity metrics, using 8 sample test systems. The metrics include Whitney Index (WI), Change Cost (CC), Singular value Modularity Index (SMI), Visibility-Dependency (VD) plot, and social network centrality measures (degree, distance, bridging). The investigation reveals that WI and CC form a good pair of metrics that can be used to assess component modularity of a system. The social network centrality metrics are useful in identifying areas of architecture improvements for a system. These metrics were further applied to two actual vehicle embedded software systems. The first system is going through an architecture transformation. The metrics from the old system revealed the need for the improvements. The second system was recently architected, and the metrics values showed the quality of the architecture as well as areas for further improvements.

Identifying Influential Users in Twitter Networks of the Turkish Diaspora in Belgium, the Netherlands, and Germany

2020 ◽  
pp. 235-263
Author(s):  
Roya Imani Giglou ◽  
Leen d'Haenens ◽  
Baldwin Van Gorp
Keyword(s):  
Social Network ◽  
The Netherlands ◽  
Structural Changes ◽  
Social Medium ◽  
Centrality Measures ◽  
Network Centrality ◽  
Social Network Centrality ◽  
Influential Users

This study investigates how members of the Turkish diaspora connected online using Twitter as a social medium during the Gezi Park protests and how those connections and the structure of the resulting Twitter network changed after the protests ended. Further, the authors examine respondents' online influence and their roles in the movement, using social network centrality measures and Tommasel and Godoy's (2015) novel metric. The authors utilize data from Twitter to determine the connections between 307 distinct users, using both online and offline surveys. The findings reveal that Turkish diaspora members' use of Twitter provided the impetus for larger structural changes to the Twitter network. Moreover, results indicate that users' influence was not related to the frequency of their re-tweets or the number of their Twitter followers. Rather, users' influence corresponds to other factors such as their ability to spread information and engage with other users and also to the importance of their Twitter content.

scholarly journals Livonian social networks and language shift

2018 ◽  
Vol 9 (2) ◽  
pp. 81-107
Author(s):  
Patrick O’Rourke
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Factors ◽  
Generational Differences ◽  
Language Shift ◽  
Network Centrality ◽  
The Social ◽  
Social Network Centrality ◽  
Network Strength ◽  
In The Beginning

This article presents a study of Livonian social networks in the beginning of the 20th century during a time of language shift. In this study, I examine whether the Livonian communities were experiencing a language shift irrespective of the population displacements during the two World Wars, which has often been given as the main reason for the Livonian language shift to Latvian. I apply the Network Strength Scale to examine if social network centrality played a role in the language shift. The study focuses on the Livonian villages of Vaid and Sīkrõg and social factors relevant to the mapping of the social network are taken from Edgar Vaalgamaa’s survey in 1935–1937. The results indicate that generational differences played a more important role than centrality in the social network in determining Latvian influence.Kokkuvõte. Patrick O’Rourke: Liivi keele sotsiaalsed võrgustikud ja keele vahetus. Artikkel tutvustab uurimust Kuramaa liivlaste sotsiaalsetest võrgustikest 20. sajandi esimesel poolel, kui keelevahetus liivi keelelt läti keelele oli juba alanud. Autor vaatleb, kuivõrd liivi kogukondades sõltus keelevahetus kahe maailmasõja aegsest elanikkonna deporteerimisest, mida on tavaliselt peetud keelevahetuse põhjuseks. Rakendatakse suhtlusvõrgustike tugevuse analüüsi, et selgitada, kas isiku keskne asend sotsiaalses võrgustikus oli keelevahetuse jaoks oluline. Uurimus keskendub liivi küladele Vaid ja Sīkrõg. Sotsiaalsete võrgustike kaardistamiseks on valitud olulised tegurid Edgar Vaalgamaa poolt aastatel 1935–1937 läbi viidud küsitluse põhjal. Tulemused näitavad, et läti keele mõju ulatus sõltub rohkem põlvkondlikest erinevustest kui isiku asendist sotsiaalses võrgustikus. Artikkel põhineb autori magistritööl, mis on kaitstud 2016. aastal Yorki Ülikoolis.Märksõnad: ajalooline lingvistika, sotsiolingvistika, sotsiaalsed võrgustikud, keelevahetus, liivi keelKubbõvõttõks. Patrick O’Rourke: Līvõ kīel sotsiālizt võrgõd ja kīel vaidimi. Kēra tuņšlõb Kurāmō līvõd sotsiāliži võrgidi 20. āigastsadā ežmizõs pūolsõ, ku vȯļ irgõn līvõ kīel vaidimi lețkīelkõks. Kēratiji vaņțlõb, kui ulzõ ajjimi kōd mōilmasuodā āigal mȯjīz kīel vaidimiz līvõd kubgõņis. Sīe pierāst um kõlbātõd rovst võrgõd viššit analīz. Analīz abkõks um seļțõd, või se, ku rištīngõn um vȯnd sidāmi kūož sotsiālizt võrgõd sizāl, um vȯnd ka tǟdzi kīel vaidimiz āigal. Tuņšlimizõs amā jemīņ ātõ vaņțõltõd līvõd kilād Vaid ja Sīkrõg. Sotsiālizt võrgõd tǟtimiz pierāst um kȭlbatõd Edgar Vālgamō 1935.–1937. āigast tīedõd rovkizzimi. Tuņšlimi nägțõb, ku lețkīel mȯjjimi jemīņ um sidtõd sugkazāmõks, äbku rištīng kūožõks sotsiālizt võrgõd sizāl. Kēra alīzõks um kēratijiz magistõrtīe, mis um kaitstõd 2016. āigasts York Iļīzskūols.

Effect of Directors' Social Network Centrality on Corporate Charitable Donation

2019 ◽  
Vol 47 (3) ◽  
pp. 1-9
Author(s):  
Wenqin Li ◽  
Guanghua Xu ◽  
Qiuhang Xing ◽  
Minghan Lyu
Keyword(s):  
Social Network ◽  
Listed Companies ◽  
Network Centrality ◽  
Charitable Donation ◽  
Social Network Centrality ◽  
Political Cost ◽  
Positive Effect

We compiled a social network of directors who were serving concurrently on the boards of several listed companies in China and analyzed the effect of the directors' social network centrality on corporate charitable donation. The results revealed that the directors' social network centrality had differing effects according to whether or not the enterprise was state-owned. Charitable donation of state-owned enterprises was not sensitive to directors' social network centrality, whereas the directors' social network centrality exerted a positive effect on charitable donation among enterprises that were not state-owned. These findings support the application of a political cost perspective to gain a better understanding of the mechanism of charitable donation.

scholarly journals Residency as a Social Network: Burnout, Loneliness, and Social Network Centrality

2015 ◽  
Vol 7 (4) ◽  
pp. 617-623 ◽  
Author(s):  
Jordan Shapiro ◽  
Bin Zhang ◽  
Eric J. Warm
Keyword(s):  
Social Network ◽  
Medical Center ◽  
Academic Medical Center ◽  
Maslach Burnout Inventory ◽  
Personal Accomplishment ◽  
Network Centrality ◽  
Academic Medical ◽  
Social Network Centrality ◽  
Dose Dependent Fashion ◽  
Dose Dependent

ABSTRACT Background Burnout is typically viewed as an individual condition, and no link has been identified between burnout and loneliness. Objective To investigate the association of burnout with loneliness and social network degree and centrality. Methods A survey containing the Maslach Burnout Inventory (MBI), a 3-question loneliness scale, and a social connectivity component was sent to residents in a large urban academic medical center internal medicine residency program. Results The response rate was 77% (95 of 124 residents). We defined significant burnout as MBI subscores of ≥ 27 for emotional exhaustion (EE), ≥ 10 for depersonalization (DP), or both. This was met by 43 (45%), 47 (49%), and 31 (33%) out of 95 respondents, respectively. Those with significant burnout had higher loneliness scores: 5.6 versus 4.5 for EE (P = .002; OR = 1.50; 95% CI 1.15–1.95); 5.4 versus 4.6 for DP (P = .024; OR = 1.33; 95% CI 1.03–1.71); and 5.8 versus 4.6 for both EE and DP (P = .001; OR = 1.54; 95% CI 1.17–2.02). Rating a larger number of coresidents as closer connections on a 5-point Likert scale was not associated with lower burnout scores. No measures of centrality were associated with burnout scores for EE and/or DP. High personal accomplishment subscores on the MBI did correlate significantly with several measures of centrality. Conclusions Burnout was associated with loneliness in a dose-dependent fashion. Greater sense of personal accomplishment was associated with greater network centrality.

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