scholarly journals Representation of Graph Theory in Students’ Communication Network at Female Students’ Dormitory of State Islamic Institute of Palopo

CAUCHY ◽  
2016 ◽  
Vol 4 (2) ◽  
pp. 95
Author(s):  
Muhammad Hajarul Aswad ◽  
Wahyuni Husain

The application of Graph Theory Concept in Communication Network Analysis is interesting to observe. This research was carried out to learn how Communication Network structure was formed and who had necessary role in the network. It was explorative research and conducted at Female Students’ Dormitory of State Islamic Institute of Palopo (Asrama Putri IAIN Palopo). The results were interpreted by using Microsoft NodeXL Version 1.0.1.113. It was found that the communication network structure of female students’ who stayed at the Dormitory decentralized. It shows that each student had same opportunity to communicate one another directly or indirectly, which 4 to 9 path distance. It was also identified that from 110 people, Suarni was the student who had significant influence in the communication network.

2020 ◽  
Vol 25 (3) ◽  
pp. 245-252
Author(s):  
Martin Hristov

AbstractIn times of information flooding us from everywhere and in an environment of increasingly complex and difficult to understand systems that our forces face in the operational environment, there is a need for alternative approaches to analyzing the environment and its participants. This approach meets key requirements and provides new and in-depth knowledge of systems. Network analysis is an approach based on graph theory that is applicable to the analysis of any system or process with a network structure. The network analysis toolkit is suitable for highlighting “important” players or elements in complex networks invisible at first glance, according to various criteria set in the term “important”.


2018 ◽  
Vol 9 (12) ◽  
pp. 2157-2164
Author(s):  
Maghy S J ◽  
Robinson Chelladurai

2020 ◽  
pp. 003329412097815
Author(s):  
Giovanni Briganti ◽  
Donald R. Williams ◽  
Joris Mulder ◽  
Paul Linkowski

The aim of this work is to explore the construct of autistic traits through the lens of network analysis with recently introduced Bayesian methods. A conditional dependence network structure was estimated from a data set composed of 649 university students that completed an autistic traits questionnaire. The connectedness of the network is also explored, as well as sex differences among female and male subjects in regard to network connectivity. The strongest connections in the network are found between items that measure similar autistic traits. Traits related to social skills are the most interconnected items in the network. Sex differences are found between female and male subjects. The Bayesian network analysis offers new insight on the connectivity of autistic traits as well as confirms several findings in the autism literature.


2015 ◽  
Vol 2 (9) ◽  
pp. 150104 ◽  
Author(s):  
Swetashree Kolay ◽  
Sumana Annagiri

The movement of colonies from one nest to another is a frequent event in the lives of many social insects and is important for their survival and propagation. This goal-oriented task is accomplished by means of tandem running in some ant species, such as Diacamma indicum . Tandem leaders are central to this process as they know the location of the new nest and lead colony members to it. Relocations involving targeted removal of leaders were compared with unmanipulated and random member removal relocations. Behavioural observations were integrated with network analysis to examine the differences in the pattern of task organization at the level of individuals and that of the colony. All colonies completed relocation successfully and leaders who substituted the removed tandem leaders conducted the task at a similar rate having redistributed the task in a less skewed manner. In terms of network structure, this resilience was due to significantly higher density and outcloseness indicating increased interaction between substitute leaders. By contrast, leader–follower interactions and random removal networks showed no discernible changes. Similar explorations of other goal-oriented tasks in other societies will possibly unveil new facets in the interplay between individuals that enable the group to respond effectively to stress.


IQTISHODUNA ◽  
2011 ◽  
Vol 2 (1) ◽  
Author(s):  
Hamidah Nayati Utami

Small industry marketing corelated with comunication process. There are communication process between consumer and producer. The situational factors are support the communication process in group. This situations are comnunication network, comnunication behavior, group cohessivity, size of group.  This research aimed to describe communication process and marketing activity on small industry group of ceramics, and to examine the correlation of communication process and marketing activity on small industry group of ceramics. This study was conducted the craftsmen of ceramics at Dau district, Malang Regency. Sample taken with simple random sampling method. Survey and interview technique were implemented among 25 craftsmen. Data was analyzed by using communication network analysis and tau Kendall. The results indicated that the craftsmen had a high level of individual connectedness, a medium level of Individual Integration, but Individual Diversity was low. The level of intensity of craftsman marketing activity was low. The results indicated that of individual connectedness, a medium level of Individual Integration, but Individual Diversity were low were correlated with craftsmen’s activity in promotion, product determining, placement, and pricing.


2020 ◽  
Author(s):  
Annelies van der Ham ◽  
Frits Van Merode ◽  
Dirk Ruwaard ◽  
Arno Van Raak

Abstract Background Integration, the coordination and alignment of tasks, has been promoted widely in order to improve the performance of hospitals. Both organization theory and social network analysis offer perspectives on integration. This exploratory study research aims to understand how a hospital’s logistical system works, and in particular to what extent there is integration and differentiation. More specifically, it first describes how a hospital organizes logistical processes; second, it identifies the agents and the interactions for organizing logistical processes, and, third, it establishes the extent to which tasks are segmented into subsystems, which is referred to as differentiation, and whether these tasks are coordinated and aligned, thus achieving integration.Methods The study is based on case study research carried out in a hospital in the Netherlands. All logistical tasks that are executed for surgery patients were studied. Using a mixed method, data were collected from the Hospital Information System (HIS), documentation, observations and interviews. These data were used to perform a social network analysis and calculate the network metrics of the hospital network.Results This paper shows that 23 tasks are executed by 635 different agents who interact through 31,499 interaction links. The social network of the hospital demonstrates both integration and differentiation. The network appears to function differently from what is assumed in literature, as the network does not reflect the formal organizational structure of the hospital, and tasks are mainly executed across functional silos. Nurses and physicians perform integrative tasks and two agents who mainly coordinate the tasks in the network, have no hierarchical position towards other agents. The HIS does not seem to fulfill the interactional needs of agents. Conclusions This exploratory study reveals the network structure of a hospital. The cross-functional collaboration, the integration found, and position of managers, coordinators, nurses and doctors suggests a possible gap between organizational perspectives on hospitals and reality. This research sets a basis for further research that should focus on the relation between network structure and performance, on how integration is achieved and in what way organization theory concepts and social network analysis could be used in conjunction with one another.


2019 ◽  
Vol 11 (11) ◽  
pp. 168
Author(s):  
Regina Etita Ella ◽  
Felicia Ekwok Lukpata ◽  
Josephine L-U Bassey

This study investigated sleep deprivation and academic performance on nursing students of University of Calabar. A self-structured instrument was administered to a sample of 109 students. Data was analyzed using SPSS version 20.0. Most, 55(50.5. %) of the respondents start depriving themselves of sleep immediately after resumption. On school days, most 53 (48.6%) respondents sleep for 1–3 hours on average; while 40(36.7%) respondents sleep for 4–6 hours on average. During weekends most, 69(63.3%) respondents sleep for 4-6 hours on average, however, during examinations, majority 73(67. %), sleep for 1–3 hours on average. 64(58.6%) take different substances to keep awake. More male 69(63.3%) respondents start depriving themselves of sleep immediately after resumption, as against 50(46%) female respondents. Male students have an average sleep of 5.02 hours during schools days; 5.07 hours during weekends, and 2.39 hours during examinations, while female students have an average sleep of 5.25 hours during schools days, 5.43 hours during weekends, and 4.77 hours during examinations. Male students have a lower mean (SD) hours of sleep of (4.16±.35) compared to female students mean (SD) hours of (5.15±.49). The result further showed a statistically significant relationship between sleep deprivation and academic performance, also, a statistically significant influence of sleep deprivation on academic performance of male and female nursing students. Recommendations: nursing students should be properly counseled on the importance of adequate sleep to their academic performance. They should only deprive themselves of sleep during school days and less during examination.


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