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h i g h l i g h t s• Modeling influenceability considering the nodes' social and spatial structure.• Using dual space and the concept of line graph as the background modeling framework.• Identifying influential users around a point or across a region using feature vectors.• Evaluating the nodes' influence using Thiessen polygons.

Urban sprawl is one of the main important phenomena threatening the spatial structure of cities and affecting the overall quality of them. This paper studied the urban growth pattern and sprawling of Kazerun, a medium-sized city in the south of Iran. Using the population and land use data available from secondary formal sources, the growth pattern was compared to national statistics. Furthermore, two well-known landscape metrics included Holdern and Shannon indices were applied to measure the extent of urban sprawl. As a qualitative research methodology, some experts (n = 30) working in governmental agencies were asked to explain the causes and effects of urban sprawl in the case study area. The results confirmed that several factors including the former masterplans affected the urban development pattern of the area. Moreover, a number of physical, environmental, economic and social impacts were discovered as the consequence of current fragmented growth pattern. Finally, a set of applicable policies are recommended to overcome sprawl and to achieve a more balanced development.

Introduction: Since the outset of nursing care, group work processes have evolved into essential components of a nurse's role and responsibilities within the health care system. The aim of this study was to analyze factors facilitating teamwork among nurses working at teaching hospitals, affiliated to University of Medical Sciences of Ahvaz. Methods: This descriptive-analytical study was conducted during year 2015. The population included nurses studying undergraduate and graduate courses at the university of medical centers (N = 917), and simple random sampling with Cochran formula was used to select a sample of 294 individuals. Instruments in this research included a questionnaire whose validity and reliability were verified. In order to analyze the data, descriptive statistics, inferential and exploratory factor analysis, Bartlett's test of sphericity and KMO were used via the SPSS 21 software. Results: Results showed that the factors facilitating teamwork among nurses working at hospitals included seven factors, which explained 64/75 of the total variance. The role of organizational support (13%), education on teamwork skills (13%), flexible structure (10%), participative leadership (9%), group ethics requirements (7%), factors affecting teamwork (7%) and control level (5%), facilitated teamwork among nurses. conclusions: The results showed that knowledge and use of these agents facilitate teamwork, and working to remove barriers for its implementation can help nurses improve their team performance.