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Journal articles on the topic 'Stanford Network Analysis Project'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Truta, Traian Marius, Alina Campan, and Matthew Beckerich. "Efficient Approximation Algorithms for Minimum Dominating Sets in Social Networks." International Journal of Service Science, Management, Engineering, and Technology 9, no. 2 (2018): 1–32. http://dx.doi.org/10.4018/ijssmet.2018040101.

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Social networks are increasingly becoming an outlet that is more and more powerful in spreading news and influence individuals. Compared with other traditional media outlets such as newspaper, radio, and television, social networks empower users to spread their ideological message and/or to deliver target advertising very efficiently in terms of both cost and time. In this article, the authors focus on efficiently finding dominating sets in social networks for the classical dominating set problem as well as for two related problems: partial dominating sets and d-hop dominating sets. They will

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2

FREITAS, FREDERICO. "Spatial History e humanidades digitais, uma entrevista com o brasilianista Zephyr Frank." História e Cultura 3, no. 1 (2014): 375. http://dx.doi.org/10.18223/hiscult.v3i1.1203.

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<p class="FreeForm"><strong>Resumo: </strong>Entrevista com Zephyr Frank, diretor do <em>Spatial History Project</em> (Projeto de História Espacial) e do <em>Center for Spatial and Textual Analysis</em> (Centro de Análise Espacial e Textual) da Universidade Stanford, nos Estados Unidos, sobre <em>spatial history</em> e outras linhas de pesquisa englobadas sob o rótulo das humanidades digitais. A discussão toca o tema do uso de novos métodos digitais como o SIG histórico, a leitura à distância e a análise de redes sociais na pesquisa em huma

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Akula, Ramya, and Ivan Garibay. "VizTract: Visualization of Complex Social Networks for Easy User Perception." Big Data and Cognitive Computing 3, no. 1 (2019): 17. http://dx.doi.org/10.3390/bdcc3010017.

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Social networking platforms connect people from all around the world. Because of their user-friendliness and easy accessibility, their traffic is increasing drastically. Such active participation has caught the attention of many research groups that are focusing on understanding human behavior to study the dynamics of these social networks. Oftentimes, perceiving these networks is hard, mainly due to either the large size of the data involved or the ineffective use of visualization strategies. This work introduces VizTract to ease the visual perception of complex social networks. VizTract is a

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4

S, Radhakrishnan, and Saikeerthana D. "Interval network analysis in project management." Kongunadu Research Journal 7, no. 2 (2020): 99–113. http://dx.doi.org/10.26524/krj.2020.29.

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This paper deals with an analysis of Critical Path Method (CPM) and Programme Evaluation Review Technique (PERT) in Project Network. Here, we solve the PERT and CPM methodology using intervals and we determine the critical path and project duration of the network. We can also convert the fuzzy parameters (triangular and trapezoidal fuzzy numbers) into intervals using α − cuts. After which, we calculate the project duration and critical path. To illustrate this, numerical examples are provided.

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Taylor, C. Barr, Darius E. Jatulis, Stephen P. Fortmann, and Helena C. Kraemer. "Weight Variability Effects: A Prospective Analysis from the Stanford Five-City Project." American Journal of Epidemiology 141, no. 5 (1995): 461–65. http://dx.doi.org/10.1093/oxfordjournals.aje.a117448.

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6

Trach, Roman, and Sergey Bushuyev. "Analysis communication network of construction project participants." Przegląd Naukowy Inżynieria i Kształtowanie Środowiska 29, no. 3 (2020): 388–96. http://dx.doi.org/10.22630/pniks.2020.29.3.33.

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The construction industry is characterized by limited resources and a high level of competition. Limited resources and a competitive environment determine knowledge and information as a particularly important resource for the development of the construction industry. A communication network is one of the elements of a knowledge management system in projects and serves to organize and maintain information links between project participants. We have analysed the communication network between project participants for residential building construction using social network analysis (SNA). The purpo

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Putcha, Chandra S., and Sridhar J. K. Rao. "Probabilistic network analysis for project completion time∗." Civil Engineering Systems 8, no. 3 (1991): 179–84. http://dx.doi.org/10.1080/02630259108970622.

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8

Lorterapong, Pasit, and Osama Moselhi. "Project-Network Analysis Using Fuzzy Sets Theory." Journal of Construction Engineering and Management 122, no. 4 (1996): 308–18. http://dx.doi.org/10.1061/(asce)0733-9364(1996)122:4(308).

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9

Sandhu, Maqsood, and Petri Helo. "A network approach to project business analysis." Engineering, Construction and Architectural Management 13, no. 6 (2006): 600–615. http://dx.doi.org/10.1108/09699980610712391.

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10

McCahon, C. S., and E. S. Lee. "Project network analysis with fuzzy activity times." Computers & Mathematics with Applications 15, no. 10 (1988): 829–38. http://dx.doi.org/10.1016/0898-1221(88)90120-4.

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11

Braun, Timo, Gordon Müller-Seitz, and Jörg Sydow. "Project citizenship behavior? – An explorative analysis at the project-network-nexus." Scandinavian Journal of Management 28, no. 4 (2012): 271–84. http://dx.doi.org/10.1016/j.scaman.2012.05.008.

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12

Hein Soe, Paing, and Thein Min Htike. "Critical path analysis programming method without network diagram." MATEC Web of Conferences 192 (2018): 01027. http://dx.doi.org/10.1051/matecconf/201819201027.

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Project scheduling is an important task in project management which monitors the project duration, resource utilization and affects the benefit of project for all kinds of project such as construction, IT, renewable energy, product design and manufacturing etc. Among many methods for project management, critical path method (CPM) is one of the better-known planning and control techniques in project scheduling. In this study, CPM-based computerized program was developed together with modeling of step by step calculations of parameters of interest such as earliest starts and finishes, slack and

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13

Lin, Yang. "Research on Organization Network Model for Construction Project Based on Social Network Analysis." Applied Mechanics and Materials 174-177 (May 2012): 2001–5. http://dx.doi.org/10.4028/www.scientific.net/amm.174-177.2001.

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Current project organization is mostly non-professional and low maturity, which lack of mature and visual methods and tools. Engineering project has obvious social characteristics, which includes not only material operating activities also cooperation and collaboration of complex staff a large number of social activities, etc. This paper point out the organization of control of project management into the field of social network analysis(SNA), A qualitative social network model for construction project organization is established, and then this model is quantitatively analyzed with the help of

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14

WenChih Chang, Freya H. Lin, and LaiChi Wu. "Application of Social Network Analysis to Project Curriculum." International Journal of Digital Content Technology and its Applications 5, no. 3 (2011): 364–72. http://dx.doi.org/10.4156/jdcta.vol5.issue3.36.

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15

Lmoussaoui, Hafida, and Hicham Jamouli. "Network Theory-Based Analysis of Construction Project Risks." Engineering Management Research 5, no. 2 (2016): 24. http://dx.doi.org/10.5539/emr.v5n2p24.

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<p>Because of their specific and complex characteristics, construction projects are exposed to numerous risks of various natures, which make their management more difficult. In this setting, Project Risk Management is an indispensable activity for their successful delivery. It consists in the risk identification, assessment, prioritization, treatment, monitoring and control. This paper presents a novel approach for the identification of construction project risks and a network theory-based methodology for their modelling and analysis. These models serve as a powerful tools comparing to c

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16

Mead, Stephen P. "Using Social Network Analysis to Visualize Project Teams." Project Management Journal 32, no. 4 (2001): 32–38. http://dx.doi.org/10.1177/875697280103200405.

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17

Stephanos, Peter, Paul Dorsey, and Adel Hedfi. "Maryland State Highway Administration’s Project Selection Process: Integrating Network and Project-Level Analysis." Transportation Research Record: Journal of the Transportation Research Board 1816, no. 1 (2002): 16–25. http://dx.doi.org/10.3141/1816-03.

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18

Pachura, Aneta. "Analysis of organizational culture elements in network project management." Management Forum 6, no. 1 (2018): 23–29. http://dx.doi.org/10.15611/mf.2018.1.04.

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19

Perrier, Nathalie, Salah-Eddine Benbrahim, and Robert Pellerin. "The core processes of project control: A network analysis." Procedia Computer Science 138 (2018): 697–704. http://dx.doi.org/10.1016/j.procs.2018.10.092.

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20

Atencio, Edison, Carlos Santelices, José Matus, and Rodrigo F. Herrera. "Interaction between project management processes: a social network analysis." International Journal of Project Organisation and Management 12, no. 2 (2020): 133. http://dx.doi.org/10.1504/ijpom.2020.10027897.

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21

Herrera, Rodrigo F., José Matus, Carlos Santelices, and Edison Atencio. "Interaction between project management processes: a social network analysis." International Journal of Project Organisation and Management 12, no. 2 (2020): 133. http://dx.doi.org/10.1504/ijpom.2020.106374.

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22

Nunes, Marco, and António Abreu. "Applying Social Network Analysis to Identify Project Critical Success Factors." Sustainability 12, no. 4 (2020): 1503. http://dx.doi.org/10.3390/su12041503.

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A key challenge in project management is to understand to which extent the dynamic interactions between the different project people—through formal and informal networks of collaboration that temporarily emerge across a project´s lifecycle—throughout all the phases of a project lifecycle, influence a project’s outcome. This challenge has been a growing concern to organizations that deliver projects, due their huge impact in economic, environmental, and social sustainability. In this work, a heuristic two-part model, supported with three scientific fields—project management, risk management, an

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23

Shuhua, Ye, Wan Tongshan, and Qian Zhihan. "Progress on Chinese VLBI network project." International Astronomical Union Colloquium 131 (1991): 386–89. http://dx.doi.org/10.1017/s0252921100013695.

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SummaryThe Chinese VLBI Network (CVN) project is supported by the Astronomy Committee, Chinese Academy of Sciences. At present, the CVN project consists of three dedicated VLBI stations, two part-time VLBI stations, and a data analysis center. The sites and equipment of the CVN stations are listed in Tables I and II, respectively. The current status of the CVN data analysis center will be described in the last section of this paper.

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24

Grady, Caitlin A., Xiaozheng He, and Srinivas Peeta. "Integrating social network analysis with analytic network process for international development project selection." Expert Systems with Applications 42, no. 12 (2015): 5128–38. http://dx.doi.org/10.1016/j.eswa.2015.02.039.

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25

Peng, Cheng Xiang. "An Empirical Analysis of Developer Collaboration Network." Applied Mechanics and Materials 303-306 (February 2013): 2177–81. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.2177.

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To further verify the uses of bipartite network theory and understand the intrinsic nature in social collaboration network. In this paper, we get the information of open source software projects from Source-Forge web and construct a project management collaboration network by analyzing the data of project and manager. Then, through the ordinary projection two kinds of one-mode network are made and the degree distribution of one-mode network and origin bipartite networks shows a power-law like. Finally we evaluate the node's importance on manager network to acquire the core nodes, namely domain

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26

Bai, Fei Biao, Rong Hua Hou, Hua Liu, and Jian Mei Zhu. "Financial Analysis of Railway Construction Projects Based on Network." Applied Mechanics and Materials 97-98 (September 2011): 463–70. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.463.

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Based on analyzing the system and network characteristics of the railway financial analysis, it discusses the necessity of financial analysis based on network. Combining with a specific case, it analyses the related network, associated projects, with or without project and other key issues, then expounds the with or without project volume, identification and calculation of costs and benefits in detail. For cost calculation, it probes into construction investment estimate of this project, the associated investment estimate, operating costs, and other important issues. For benefits, it detailed

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27

OKADA, Shinkoh. "An Analysis of Critical Paths on Fuzzy Project Network Problems." Journal of Japan Society for Fuzzy Theory and Systems 12, no. 1 (2000): 133–42. http://dx.doi.org/10.3156/jfuzzy.12.1_133.

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28

Salhi, Said, Keith Lockyer, and James Gordon. "Critical Path Analysis and Other Project Network Techniques (5th Edition)." Journal of the Operational Research Society 43, no. 3 (1992): 285. http://dx.doi.org/10.2307/2583720.

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29

Zhang, Songyan, and Yuxiao Fang. "Research on Construction Project Organization Based on Social Network Analysis." Wireless Personal Communications 102, no. 2 (2018): 1867–77. http://dx.doi.org/10.1007/s11277-018-5242-3.

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30

Salhi, Said. "Critical Path Analysis and Other Project Network Techniques (5th Edition)." Journal of the Operational Research Society 43, no. 3 (1992): 285–86. http://dx.doi.org/10.1057/jors.1992.39.

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31

McCahon, C. S. "Using PERT as an approximation of fuzzy project-network analysis." IEEE Transactions on Engineering Management 40, no. 2 (1993): 146–53. http://dx.doi.org/10.1109/17.277406.

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32

Kim, Jae Yeob, Sang Tae No, and Yong Kyu Park. "Communication Network Analysis of Project Teams in Korean Building Constructions." Applied Mechanics and Materials 357-360 (August 2013): 2338–41. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.2338.

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This study used social network analysis (SNA) in order to analyze communication relationship between project team members in typical cases of Korean building constructions. Data was collected by conducting a survey from key members of construction project teams. We analyzed and digitized degree centrality by using Netminer, a SNA analysis program. According to the result of analysis in communication frequency, intermediate managers such as construction deputy managers were shown the highest and architectural designers were shown the lowest. With respect to communication credibility, constructi

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33

Ökmen, Önder, and Ahmet Öztaş. "Construction Project Network Evaluation with Correlated Schedule Risk Analysis Model." Journal of Construction Engineering and Management 134, no. 1 (2008): 49–63. http://dx.doi.org/10.1061/(asce)0733-9364(2008)134:1(49).

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34

Pollack-Johnson, Bruce, and Matthew J. Liberatore. "Project Planning under Uncertainty Using Scenario Analysis." Project Management Journal 36, no. 1 (2005): 15–26. http://dx.doi.org/10.1177/875697280503600103.

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An important component of risk management relates to project schedule uncertainty. To address this issue, a scenario (i.e., macro-level approach) for modeling and analyzing projects with significant uncertainty in their network structure and/or durations of some activities is presented. This approach requires that a set of project network scenarios is able to be identified, each with an assessed probability of occurrence. These scenarios might differ according to the results of uncertain events that could occur during the course of the project, uncertain activity durations (whether independent

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35

Tong, Zhi Neng. "Analysis of Network Technology Application in the Project Construction Management Process." Advanced Materials Research 1065-1069 (December 2014): 2420–23. http://dx.doi.org/10.4028/www.scientific.net/amr.1065-1069.2420.

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Method of network plan in project construction has been widely used, it complies with the requirements of the engineering construction management, organization and management is especially suitable for the construction of the project. At present our country network plan technology in engineering project theory and level with the foreign equivalent, but in the application of project management, especially the lag compared the supervision and control in implementing plan, tracking and adjustment, basically still stay on the preparation of the plan. This paper analyzes the present situation of th

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Board, Editorial. "Allows Librarians at each Institution to take Custody of and Preserve Access to the E-Content." Global Journal of Enterprise Information System 9, no. 2 (2017): 133. http://dx.doi.org/10.18311/gjeis/2017/16180.

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The LOCKSS («Lots of Copies Keep Stuff Safe») project, under the auspices of Stanford University, is a peer-to-peer network that develops and supports an open source system allowing libraries to collect, preserve and provide their readers with access to material published on the Web. The system attempts to replicate the way libraries do this for material published on paper. It was originally designed for scholarly journals<sup>1</sup>, but is now also used for a range of other materials. Examples include the SOLINET project to preserve theses and dissertations at eight universities

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37

Park, Chun Soo, Ki Heon Park, and Sung Eon Hong. "Accuracy Analysis of Network RTK Surveying for Cadastral Re-survey Project." Journal of Korean Society for Geospatial Information System 21, no. 4 (2013): 117–23. http://dx.doi.org/10.7319/kogsis.2013.21.4.117.

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38

Sugaya, Yoshihiro, Shinichiro Omachi, Akira Takeuchi, and Yousuke Nozaki. "A Statistical Analysis on Operation Scheduling for an Energy Network Project." IEEE Transactions on Parallel and Distributed Systems 23, no. 9 (2012): 1583–92. http://dx.doi.org/10.1109/tpds.2012.52.

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39

Lee, Cen-Ying, Heap-Yih Chong, Pin-Chao Liao, and Xiangyu Wang. "Critical Review of Social Network Analysis Applications in Complex Project Management." Journal of Management in Engineering 34, no. 2 (2018): 04017061. http://dx.doi.org/10.1061/(asce)me.1943-5479.0000579.

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40

ILUMOKA, A. A. "A tolerance analysis approach to network scheduling for engineering project management." International Journal of Production Research 25, no. 4 (1987): 531–47. http://dx.doi.org/10.1080/00207548708919859.

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41

Pryke, Stephen D. "Analysing construction project coalitions: exploring the application of social network analysis." Construction Management and Economics 22, no. 8 (2004): 787–97. http://dx.doi.org/10.1080/0144619042000206533.

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42

Judd, Donald. "‘Preprod’ A system for pre-production planning for project network analysis." International Journal of Project Management 6, no. 2 (1988): 117–21. http://dx.doi.org/10.1016/0263-7863(88)90034-8.

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43

Schreiber, Roland Robert, and Matthäus Paul Zylka. "Social Network Analysis in Software Development Projects: A Systematic Literature Review." International Journal of Software Engineering and Knowledge Engineering 30, no. 03 (2020): 321–62. http://dx.doi.org/10.1142/s021819402050014x.

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Software development in project teams has become more and more complex, with increasing demands for information and decision making. Software development in projects also hugely depends on effective interaction between people, and human factors have been identified as key to successful software projects. Especially in this context, managing and analyzing social networks is highly important. The instrument of social network analysis (SNA) provides fine-grained methods for analyzing social networks in project teams, going beyond the traditional tools and techniques of project management. This pa

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44

Sailaja, M., and R. D. V. Prasad. "Back Propagation Method of Artificial Neural Networks for Finding the Position Control of Stanford Manipulator and Direct Kinematic Analysis of Elbow Manipulator." International Journal of Emerging Research in Management and Technology 7, no. 1 (2018): 46. http://dx.doi.org/10.23956/ijermt.v7i1.23.

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Nowadays the robot technology is advancing rapidly and the use of robots in industries has been increasing. In designing a robot manipulator, kinematicsplays a vital role. The kinematic problem of manipulator control is divided into two types, direct kinematics and inverse kinematics. Robot inverse kinematics, which is important in robot path planning, is a fundamental problem in robotic control. Past solutions for this problem have been through the use of various algebraic or algorithmic procedures, which may be less accurate and time consuming. Artificial neural networks have the ability to

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45

Abdi Khalife, Mehrzad, Anna Dunay, and Csaba Bálint Illés. "Bibliometric Analysis of Articles on Project Management Research." Periodica Polytechnica Social and Management Sciences 29, no. 1 (2020): 70–83. http://dx.doi.org/10.3311/ppso.15717.

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Project management, as a subsidiary of social science, is a vast and varied topic of the area of knowledge. In the past decades, many studies have compiled an immense amount of information for theoreticians and practitioners in this field. In this paper, traditional and novel methods of bibliometric analysis are introduced through a survey for analyzing the history of research in project management. This study focuses on the last four decades of publications on project management, from 1980 to 2019. In the survey, the number of publications, the countries of publication, the cooperating relati

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46

Möller, Johanna E., and Jakub Nowak. "Surveillance and privacy as emerging issues in communication and media studies. An introduction." Mediatization Studies 2 (June 26, 2019): 7. http://dx.doi.org/10.17951/ms.2018.2.7-15.

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Balleys C., Coll S. (2017). Being publicly intimate: Teenagers managing online privacy. Media, Culture &amp; Society, Vol. 39(6), pp. 885–901.<br /><br />Bond R. M., Fariss C. J., Jones J. J., Kramer A. D. I., Marlow C., Settle J. E., Fowler J. H. (2012). A 61-million-person experiment in social influence and political mobilization, Nature, Vol. 489, pp. 295–298.<br /><br />Dencik L., Jansen F., Metcalfe, P. (2018). A conceptual framework for approaching social justice in an age of datafication, DATAJUSTICE project, https://datajusticeproject.net/2018/08/30/aconcept

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47

Babiker, Mohamed Elamin Ahmed, and Hajir Khaild Elshaikh Idris. "GIS Based Services Using Network Analysis of Khartoum North." International Journal of Innovative Science and Research Technology 5, no. 7 (2020): 1375–81. http://dx.doi.org/10.38124/ijisrt20jul815.

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A Geographical Information System (GIS) utility, such as network analysis is a tool used to solve common network problem, This study is intended to use GIS as a tool of analyzing. integrating and displaying information. the overall activities of the work were concentrated around sub area selected as the study site in the Khartoum north city (Khartoum ) of main capital, Sudan .To demonstrate the use of road network analysis, this project focused on determining the best route between too destinations , the closest facility from a given incident , and a service area for a given facility . The pre

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Liu, Yuan, and Zhuo Fu Wang. "Analysis of Project Shedule Risk Indexes in PERT Network Using Monte Carlo Simulation." Advanced Materials Research 760-762 (September 2013): 2205–11. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.2205.

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It is convenient and effective to use Monte Carlo simulation (MCS) technique in project schedule risk analysis and assessment, but at the same time, the indexes put forward by scholars up to now is quite few, leaving construction schedule risk assessment still difficult to carry out. Therefore, based on PERT network assumption, the shortcomings of current project schedule risk indexes are summarized and new project schedule risk index is put forward to estimate the criticality of each activity and path to provide more information for project schedule controllers. In the case studied, with the

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49

Bai, Libiao, Kaimin Zhang, Huijing Shi, Min An, and Xiao Han. "Project Portfolio Resource Risk Assessment considering Project Interdependency by the Fuzzy Bayesian Network." Complexity 2020 (November 4, 2020): 1–21. http://dx.doi.org/10.1155/2020/5410978.

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Resource risk caused by specific resource sharing or competition among projects due to resource constraints is a major issue in project portfolio management, which challenges the application of risk analysis methods effectively. This paper presents a methodology by using a fuzzy Bayesian network to assess the project portfolio resource risk, determine critical resource risk factors, and propose risk-reduction strategies. In this method, the project portfolio resource risk factors are first identified by taking project interdependency into consideration, and then the Bayesian network model is d

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50

Ludovico, Nuccio, Federica Dessi, and Marino Bonaiuto. "Stakeholders Mapping for Sustainable Biofuels: An Innovative Procedure Based on Computational Text Analysis and Social Network Analysis." Sustainability 12, no. 24 (2020): 10317. http://dx.doi.org/10.3390/su122410317.

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The identification and engagement of stakeholders is a challenge whose outcomes have a strong impact on a project’s success. This is even more relevant when the project concerns the introduction of sustainable technologies; these technologies are often less competitive on the market than traditional ones, both in terms of development complexity and production costs. This paper presents a stakeholder identification and mapping procedure, based on an Interest x Influence model, that emphasizes a quantitative methodological approach. The method has been applied on publicly available online data t

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