Pub Date : 2019-01-01DOI: 10.21307/connections-2019-009
Patrick D. Allen, Mark Alan Matties, Elisha Peterson
Abstract Hairball buster (HB) (also called node-neighbor centrality or NNC) is an approach to graph analytic triage that uses simple calculations and visualization to quickly understand and compare graphs. Rather than displaying highly interconnected graphs as ‘hairballs’ that are difficult to understand, HB provides a simple standard visual representation of a graph and its metrics, combining a monotonically decreasing curve of node metrics with indicators of each node’s neighbors’ metrics. The HB visual is canonical, in the sense that it provides a standard output for each node-link graph. It helps analysts quickly identify areas for further investigation, and also allows for easy comparison between graphs of different data sets. The calculations required for creating an HB display is order M plus N log N, where N is the number of nodes and M is the number of edges. This paper includes examples of the HB approach applied to four real-world data sets. It also compares HB to similar visual approaches such as degree histograms, adjacency matrices, blockmodeling, and force-based layout techniques. HB presents greater information density than other algorithms at lower or equal calculation cost, efficiently presenting information in a single display that is not available in any other single display.
{"title":"Hairball Buster: A Graph Triage Method for Viewing and Comparing Graphs","authors":"Patrick D. Allen, Mark Alan Matties, Elisha Peterson","doi":"10.21307/connections-2019-009","DOIUrl":"https://doi.org/10.21307/connections-2019-009","url":null,"abstract":"Abstract Hairball buster (HB) (also called node-neighbor centrality or NNC) is an approach to graph analytic triage that uses simple calculations and visualization to quickly understand and compare graphs. Rather than displaying highly interconnected graphs as ‘hairballs’ that are difficult to understand, HB provides a simple standard visual representation of a graph and its metrics, combining a monotonically decreasing curve of node metrics with indicators of each node’s neighbors’ metrics. The HB visual is canonical, in the sense that it provides a standard output for each node-link graph. It helps analysts quickly identify areas for further investigation, and also allows for easy comparison between graphs of different data sets. The calculations required for creating an HB display is order M plus N log N, where N is the number of nodes and M is the number of edges. This paper includes examples of the HB approach applied to four real-world data sets. It also compares HB to similar visual approaches such as degree histograms, adjacency matrices, blockmodeling, and force-based layout techniques. HB presents greater information density than other algorithms at lower or equal calculation cost, efficiently presenting information in a single display that is not available in any other single display.","PeriodicalId":88856,"journal":{"name":"Connections (Toronto, Ont.)","volume":"39 1","pages":"1 - 24"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49262232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.21307/connections-2019-006
W. Porter, R. Schroeder, C. Callaghan, Albert Barreto, Sam Bussell, B. Young, M. Loewer, D. Funk, Janet von Eiff
Abstract This research focused on the identification and tracking of subgroups of vessels of interest, owners, operators, ports, cargoes, and specific activities associated with artificial reef enhancement and construction in the South China Sea. Historical automated information system (AIS) tracks and current maritime databases were used to develop sociogram depictions of the gray (licit but only partially transparent) maritime network that connects these nodes (ships, events, organizations, ports, activities). Social network matrices were dynamically updated by open source databases to provide insights into real-time awareness and tracking for operational purposes. The maritime network data set was populated by, and dynamically updated through, the integration of unclassified data using algorithms developed as part of the research. Longitudinal topographic metrics – average degree, average clustering coefficient, and centralization – were used to analyze the multi-mode (e.g., ship to ship, ship to owners/operators, owner/operators to owner/operators, ships to locations) relationships within the gray maritime network. Additionally, the network of ports and reefs in the area of operations was mapped and insights were gained by leveraging directed centrality measures – hubs and authorities – connecting them.
{"title":"Mapping Gray Maritime Networks","authors":"W. Porter, R. Schroeder, C. Callaghan, Albert Barreto, Sam Bussell, B. Young, M. Loewer, D. Funk, Janet von Eiff","doi":"10.21307/connections-2019-006","DOIUrl":"https://doi.org/10.21307/connections-2019-006","url":null,"abstract":"Abstract This research focused on the identification and tracking of subgroups of vessels of interest, owners, operators, ports, cargoes, and specific activities associated with artificial reef enhancement and construction in the South China Sea. Historical automated information system (AIS) tracks and current maritime databases were used to develop sociogram depictions of the gray (licit but only partially transparent) maritime network that connects these nodes (ships, events, organizations, ports, activities). Social network matrices were dynamically updated by open source databases to provide insights into real-time awareness and tracking for operational purposes. The maritime network data set was populated by, and dynamically updated through, the integration of unclassified data using algorithms developed as part of the research. Longitudinal topographic metrics – average degree, average clustering coefficient, and centralization – were used to analyze the multi-mode (e.g., ship to ship, ship to owners/operators, owner/operators to owner/operators, ships to locations) relationships within the gray maritime network. Additionally, the network of ports and reefs in the area of operations was mapped and insights were gained by leveraging directed centrality measures – hubs and authorities – connecting them.","PeriodicalId":88856,"journal":{"name":"Connections (Toronto, Ont.)","volume":"39 1","pages":"1 - 12"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43765424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.21307/CONNECTIONS-2019-003
I. Maya-Jariego, Romina Cachia
Abstract The graphic representation of relational data is one of the central elements of social network analysis. In this paper, the author describe the use of visualization in interview-based data collection procedures designed to obtain personal networks information, exploring four main contributions. First, the author shows a procedure by which the visualization is integrated with traditional name generators to facilitate obtaining information and reducing the burden of the interview process. Second, the author describes the reactions and qualitative interpretation of the interviewees when they are presented with an analytical visualization of their personal network. The most frequent strategies consist in identifying the key individuals, dividing the personal network in groups and classifying alters in concentric circles of relative importance. Next, the author explores how the visualization of groups in personal networks facilitates the enumeration of the communities in which individuals participate. This allows the author to reflect on the role of social circles in determining the structure of personal networks. Finally, the author compares the graphic representation obtained through spontaneous, hand-drawn sociograms with the analytical visualizations elicited through software tools. This allows the author to demonstrate that analytical procedures reveal aspects of the structure of personal networks that respondents are not aware of, as well as the advantages and disadvantages of using both modes of data collection. For this, the author presents findings from a study of highly skilled migrants living in Spain (n = 95) through which the author illustrates the challenges, in terms of data reliability, validity and burden on both the researcher and the participants.
{"title":"What the eye does not see: visualizations strategies for the data collection of personal networks","authors":"I. Maya-Jariego, Romina Cachia","doi":"10.21307/CONNECTIONS-2019-003","DOIUrl":"https://doi.org/10.21307/CONNECTIONS-2019-003","url":null,"abstract":"Abstract The graphic representation of relational data is one of the central elements of social network analysis. In this paper, the author describe the use of visualization in interview-based data collection procedures designed to obtain personal networks information, exploring four main contributions. First, the author shows a procedure by which the visualization is integrated with traditional name generators to facilitate obtaining information and reducing the burden of the interview process. Second, the author describes the reactions and qualitative interpretation of the interviewees when they are presented with an analytical visualization of their personal network. The most frequent strategies consist in identifying the key individuals, dividing the personal network in groups and classifying alters in concentric circles of relative importance. Next, the author explores how the visualization of groups in personal networks facilitates the enumeration of the communities in which individuals participate. This allows the author to reflect on the role of social circles in determining the structure of personal networks. Finally, the author compares the graphic representation obtained through spontaneous, hand-drawn sociograms with the analytical visualizations elicited through software tools. This allows the author to demonstrate that analytical procedures reveal aspects of the structure of personal networks that respondents are not aware of, as well as the advantages and disadvantages of using both modes of data collection. For this, the author presents findings from a study of highly skilled migrants living in Spain (n = 95) through which the author illustrates the challenges, in terms of data reliability, validity and burden on both the researcher and the participants.","PeriodicalId":88856,"journal":{"name":"Connections (Toronto, Ont.)","volume":" ","pages":"1 - 18"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49384368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.21307/connections-2019-002
P. Doreian, Andrej Mrvar
Abstract This paper introduces the idea of studying the decision citation network of the US Supreme Court in a new fashion by focusing on this Court’s overturning of some of its prior decisions. Two departures from current practices were developed. One was to consider the phenomenon of overturning in a broader network context. The second was to treat the citations between overturning decisions and the overturned decisions as negative ties. This led to the creation of multiple signed citation networks. These networks were studied to get a better understanding of the operation of this Court. The results show that, frequently, when decisions are overturned, this is not done in a logically consistent fashion. A research agenda is proposed regarding a reexamination of stare decesis, thought to be a bedrock of the US legal system, and calling it into question as a genuine operating legal principle.
{"title":"Signed Networks for the US Supreme Court Overturning its Prior Decisions","authors":"P. Doreian, Andrej Mrvar","doi":"10.21307/connections-2019-002","DOIUrl":"https://doi.org/10.21307/connections-2019-002","url":null,"abstract":"Abstract This paper introduces the idea of studying the decision citation network of the US Supreme Court in a new fashion by focusing on this Court’s overturning of some of its prior decisions. Two departures from current practices were developed. One was to consider the phenomenon of overturning in a broader network context. The second was to treat the citations between overturning decisions and the overturned decisions as negative ties. This led to the creation of multiple signed citation networks. These networks were studied to get a better understanding of the operation of this Court. The results show that, frequently, when decisions are overturned, this is not done in a logically consistent fashion. A research agenda is proposed regarding a reexamination of stare decesis, thought to be a bedrock of the US legal system, and calling it into question as a genuine operating legal principle.","PeriodicalId":88856,"journal":{"name":"Connections (Toronto, Ont.)","volume":"39 1","pages":"1 - 14"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47340016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.21307/connections-2019-010
M. Bojanowski, Dominika Czerniawska, Wojciech Fenrich
Abstract In order to understand scientists’ incentives to form collaborative relations, we have conducted a study looking into academically relevant resources, which scientists contribute into collaborations with others. The data we describe in this paper are an egocentric dataset assembled by coding originally qualitative material. It is 40 multiplex ego networks containing data on individual attributes (such as gender, scientific degree), collaboration ties (including alter–alter ties), and resource flows. Resources are coded using a developed inventory of 25 types of academically relevant resources egos and alters contribute into their collaborations. We share the data with the research community with the hopes of enriching knowledge and tools for studying sociological and behavioral aspects of science as a social process.
{"title":"Academic Collaboration via Resource Contributions: An Egocentric Dataset","authors":"M. Bojanowski, Dominika Czerniawska, Wojciech Fenrich","doi":"10.21307/connections-2019-010","DOIUrl":"https://doi.org/10.21307/connections-2019-010","url":null,"abstract":"Abstract In order to understand scientists’ incentives to form collaborative relations, we have conducted a study looking into academically relevant resources, which scientists contribute into collaborations with others. The data we describe in this paper are an egocentric dataset assembled by coding originally qualitative material. It is 40 multiplex ego networks containing data on individual attributes (such as gender, scientific degree), collaboration ties (including alter–alter ties), and resource flows. Resources are coded using a developed inventory of 25 types of academically relevant resources egos and alters contribute into their collaborations. We share the data with the research community with the hopes of enriching knowledge and tools for studying sociological and behavioral aspects of science as a social process.","PeriodicalId":88856,"journal":{"name":"Connections (Toronto, Ont.)","volume":"39 1","pages":"1 - 6"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43154171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.21307/connections-2019-004
Katherine Faust
Abstract At the business meeting of the International Network for Social Network Analysis (INSNA) in June 2018, there was great enthusiasm for conducting and archiving interviews with luminaries in the field. Lin Freeman’s name was mentioned, and I was drafted to conduct the interview. This is an edited transcript of the interview that I conducted with Lin on July 27, 2018. Lin passed away three weeks later, on August 17, 2018. He was 91 years old.
{"title":"Linton C. Freeman Interview by Katherine Faust, July 27, 2018","authors":"Katherine Faust","doi":"10.21307/connections-2019-004","DOIUrl":"https://doi.org/10.21307/connections-2019-004","url":null,"abstract":"Abstract At the business meeting of the International Network for Social Network Analysis (INSNA) in June 2018, there was great enthusiasm for conducting and archiving interviews with luminaries in the field. Lin Freeman’s name was mentioned, and I was drafted to conduct the interview. This is an edited transcript of the interview that I conducted with Lin on July 27, 2018. Lin passed away three weeks later, on August 17, 2018. He was 91 years old.","PeriodicalId":88856,"journal":{"name":"Connections (Toronto, Ont.)","volume":"39 1","pages":"1 - 9"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43646997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-04DOI: 10.21307/CONNECTIONS-2017-003
I. Borucki
Abstract This research captures local networks of German political parties and welfare agencies in regards to poverty. The article explores whether there are differences in regards to homophily and brokerage between the two studied groups using a dataset of 33 egonetworks in two German cities. The computer assisted drawn networks were collected in an interactive participative way together with the interviewed egonetworks. To achieve the theoretical aim of analysing homophily and brokerage between politicians and welfare workers, two hypotheses are examined, resting upon social capital theory. The hypotheses were quantified and explicated with different variables. The first hypothesis states that heterophile networks imply more social capital, which referred to different measurements (size, density, homophily). This could be partially validated since the analysed networks of association representatives (n=12) were denser and slightly more heterophile than those of party representatives (n=21). Second, it was assumed that politicians, because of their function as elected representatives, would be more likely to take on an interface function within the communities than representatives of civil society institutions. Results based on calculated EI-indices, subgraphs and brokerage show that party representatives do indeed have larger networks, but these networks split into fewer subgraphs than association representatives’ networks.
{"title":"A Visual Data Collection Method: German Local Parties and Associations","authors":"I. Borucki","doi":"10.21307/CONNECTIONS-2017-003","DOIUrl":"https://doi.org/10.21307/CONNECTIONS-2017-003","url":null,"abstract":"Abstract This research captures local networks of German political parties and welfare agencies in regards to poverty. The article explores whether there are differences in regards to homophily and brokerage between the two studied groups using a dataset of 33 egonetworks in two German cities. The computer assisted drawn networks were collected in an interactive participative way together with the interviewed egonetworks. To achieve the theoretical aim of analysing homophily and brokerage between politicians and welfare workers, two hypotheses are examined, resting upon social capital theory. The hypotheses were quantified and explicated with different variables. The first hypothesis states that heterophile networks imply more social capital, which referred to different measurements (size, density, homophily). This could be partially validated since the analysed networks of association representatives (n=12) were denser and slightly more heterophile than those of party representatives (n=21). Second, it was assumed that politicians, because of their function as elected representatives, would be more likely to take on an interface function within the communities than representatives of civil society institutions. Results based on calculated EI-indices, subgraphs and brokerage show that party representatives do indeed have larger networks, but these networks split into fewer subgraphs than association representatives’ networks.","PeriodicalId":88856,"journal":{"name":"Connections (Toronto, Ont.)","volume":"37 1","pages":"45 - 52"},"PeriodicalIF":0.0,"publicationDate":"2018-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45850634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-04DOI: 10.21307/CONNECTIONS-2017-006
Jacob T. N. Young, Scott H. Decker, Gary Sweeten
Abstract The Boston Special Youth Project (SYP) Affiliation dataset is a large, bipartite network representing interactions among 166 gang members from seven gangs for nearly three years. The project was conducted from June 1954 to May 1957 and represents one of the most elaborate gang intervention programs ever conducted. The SYP was a “detached-worker program,” where an adult (typically a graduate student from one of the surrounding universities) was assigned to an area (local parks, housing projects) to establish and maintain contact with and attempt to change the behaviors of the gangs. These workers collected detailed field notes (“contact cards”) documenting the activities of study gang members. However, the social network data collected on the contact cards were never analyzed by SYP staff. After the death of the project leader, Walter Miller, in 2004, the materials from the project became available to a team of researchers (faculty, graduate, and undergraduate students) in the School of Criminology and Criminal Justice at Arizona State University. These researchers electronically scanned and digitized the contact cards, and began the process of creating a network from the cards. From these cards, a bipartite network was created where 166 individuals (i.e. gang members) were connected to 33,653 events (i.e. contact cards).
{"title":"The Boston Special Youth Project Affiliation Dataset","authors":"Jacob T. N. Young, Scott H. Decker, Gary Sweeten","doi":"10.21307/CONNECTIONS-2017-006","DOIUrl":"https://doi.org/10.21307/CONNECTIONS-2017-006","url":null,"abstract":"Abstract The Boston Special Youth Project (SYP) Affiliation dataset is a large, bipartite network representing interactions among 166 gang members from seven gangs for nearly three years. The project was conducted from June 1954 to May 1957 and represents one of the most elaborate gang intervention programs ever conducted. The SYP was a “detached-worker program,” where an adult (typically a graduate student from one of the surrounding universities) was assigned to an area (local parks, housing projects) to establish and maintain contact with and attempt to change the behaviors of the gangs. These workers collected detailed field notes (“contact cards”) documenting the activities of study gang members. However, the social network data collected on the contact cards were never analyzed by SYP staff. After the death of the project leader, Walter Miller, in 2004, the materials from the project became available to a team of researchers (faculty, graduate, and undergraduate students) in the School of Criminology and Criminal Justice at Arizona State University. These researchers electronically scanned and digitized the contact cards, and began the process of creating a network from the cards. From these cards, a bipartite network was created where 166 individuals (i.e. gang members) were connected to 33,653 events (i.e. contact cards).","PeriodicalId":88856,"journal":{"name":"Connections (Toronto, Ont.)","volume":"37 1","pages":"85 - 88"},"PeriodicalIF":0.0,"publicationDate":"2018-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47737492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-04DOI: 10.21307/CONNECTIONS-2017-002
P. Murphy, K. Cuenco, Yufei Wang
Abstract Reliability and validity are key concerns for any researcher. We investigate these concerns as they apply to social network analysis programs. Six well-used and trusted programs were compared on four common centrality measures (degree, betweenness, closeness, and eigenvector) under a variety of network topographies. We identify notable inconsistencies between programs that may not be apparent to the average user of these programs. Specifically, each program may have implemented a variant of a given measure without informing the user of its characteristics. This presents an unnecessary obfuscation for analysts seeking measures that are best suited to the idiosyncrasies of their data, and for those comparing results between programs. Under such a paradigm, the terms in use within the social network analysis community become less precise over time and diverge from the original strength of network analysis: clarity.
{"title":"Are We in Agreement? Benchmarking and Reliability Issues between Social Network Analytic Programs","authors":"P. Murphy, K. Cuenco, Yufei Wang","doi":"10.21307/CONNECTIONS-2017-002","DOIUrl":"https://doi.org/10.21307/CONNECTIONS-2017-002","url":null,"abstract":"Abstract Reliability and validity are key concerns for any researcher. We investigate these concerns as they apply to social network analysis programs. Six well-used and trusted programs were compared on four common centrality measures (degree, betweenness, closeness, and eigenvector) under a variety of network topographies. We identify notable inconsistencies between programs that may not be apparent to the average user of these programs. Specifically, each program may have implemented a variant of a given measure without informing the user of its characteristics. This presents an unnecessary obfuscation for analysts seeking measures that are best suited to the idiosyncrasies of their data, and for those comparing results between programs. Under such a paradigm, the terms in use within the social network analysis community become less precise over time and diverge from the original strength of network analysis: clarity.","PeriodicalId":88856,"journal":{"name":"Connections (Toronto, Ont.)","volume":"37 1","pages":"23 - 44"},"PeriodicalIF":0.0,"publicationDate":"2018-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48435669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-04DOI: 10.21307/CONNECTIONS-2017-005
A. Gallelli
Abstract The local theatrical offer is the result of all the theatre companies which perform shows in each other’s venues. Theatre hospitality is an inherently relational phenomenon, and besides big national and international tours, it is an important part of the local cultural landscape. Aiming at contributing to the literature on network analysis applied to the inquiry on culture, the research adopts the network perspective to test hypotheses on companies’ relational behaviors and mechanisms of network formation in a local context in Italy. The analyses show that companies which get more public funding tend to host more; there is a homophily effect based on audience levels; companies tend to reciprocate hospitality relations and form clusters of close collaborations.
{"title":"Strategic and Genetic Networking: Relational Endowment in a Local Cultural Offer","authors":"A. Gallelli","doi":"10.21307/CONNECTIONS-2017-005","DOIUrl":"https://doi.org/10.21307/CONNECTIONS-2017-005","url":null,"abstract":"Abstract The local theatrical offer is the result of all the theatre companies which perform shows in each other’s venues. Theatre hospitality is an inherently relational phenomenon, and besides big national and international tours, it is an important part of the local cultural landscape. Aiming at contributing to the literature on network analysis applied to the inquiry on culture, the research adopts the network perspective to test hypotheses on companies’ relational behaviors and mechanisms of network formation in a local context in Italy. The analyses show that companies which get more public funding tend to host more; there is a homophily effect based on audience levels; companies tend to reciprocate hospitality relations and form clusters of close collaborations.","PeriodicalId":88856,"journal":{"name":"Connections (Toronto, Ont.)","volume":"37 1","pages":"69 - 84"},"PeriodicalIF":0.0,"publicationDate":"2018-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42974287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：