Networks of international public relations production: The case of Latin American organizations’ connections to U.S. agents

Traditionally, international public relations studies have assumed that a foreign organization, namely a foreign government, is the primary influence on how its home country is portrayed to audiences abroad. This study challenges such assumption of independence by revealing how foreign organizations are connected in ways previous works have not considered. Using Foreign Agents Registration Act data, we reveal the direct and indirect connections that form when foreign organizations hire U.S. agencies to produce their international public relations work. Our network analysis of foreign organizations from Latin American and their U.S. agents documents the network structures that emerge for each country and identifies the types of organizations that are positioned advantageously in the networks. We use these findings to theorize how foreign organizations’ connections and their key positions in networks may influence the production of international public relations efforts for their home country. We at a macro-level, public relations effects depend on the structure of the networks, the overlapping sites where communication content is produced, and who is positioned as key players in the production networks.     

Network effects on organizational decision-making: Blended social mechanisms and IPO withdrawal

This paper develops a new approach to the study of network effects in organizations and markets by proposing that structural influences on social and economic action result from contingent blends of well-understood social mechanisms. We emphasize the interplay of three different network processes: resource and information transfer, status signaling and certification, and social influence. Different mixes of these mechanisms characterize disparate networks because the obligations imposed by ties and the capacities of partners result in situations where mechanisms amplify or diminish one another. We test hypotheses about mechanism interactions using four years (1997–2000) of data on high-technology IPOs that situate organizational decisions about whether to withdraw an offering in two distinct networks. We find that network mechanisms exert multiple moderating effects on one another and that those effects vary systematically across venture capital syndicate and director interlock networks. These findings help to explain why different networks exert disparate effects, why the effects of some structures change as their larger contexts shift, and why even very successful organizations can sometimes find themselves hamstrung by their connections.     

A hegemon fighting for equal rights: the dominant role of COC Nederland in the LGBT transnational advocacy network

Networks are alternatives to hierarchical organizational forms. However, actors in networks have different resources at their disposal, and more powerful participants will try to influence the network as a whole. We identify a dominant node in the European LGBT advocacy network, and explore whether a hegemonic actor in the transnational advocacy network will affect less powerful groups' issue framing. Our project uses software that locates the issue network on the internet, highlighting how transnational advocacy work and digital communication have become inextricably connected. We confirm that Cultuur – en Ontspannings Centrum, known as COC Netherland has higher‐than average centrality measures in the LGBT network. Noting the limitations of hyperlink analysis, we conduct a content analysis of select nodes illustrating the impact of a hegemon. We focus on marriage equality and find tentative support for our hypothesis: organizations with links to COC advocate for stronger forms of legalized same‐sex union than do organizations without ties.     

Humanitarian Interorganizational Information Exchange Network: How Do Clique Structures Impact Network Effectiveness?

Humanitarian information coordination and sharing continue to challenge the international community. Interorganizational networks are believed to be a way to improve coordination and collaboration among humanitarian organizations. Although researchers have devoted a considerable amount of time exploring the influence of network structure on network performance and effectiveness, little work has been done in the humanitarian relief field. We use the theoretical lens of social network to investigate the relationship between network cliques and network effectiveness. Data were collected through multiple sources among members of GlobalSympoNet, a community of humanitarian organizations engaged in humanitarian information management and exchange. Our findings suggest that, similar to the public health service delivery sector, network effectiveness can be explained by network integration and network cliques in the humanitarian relief field. We discuss these findings and provide some implications of our research in designing interorganizational networks within the humanitarian relief field.     

Prominence in a Network of Communication: Work Relations in a Children's Psychiatric Hospital*

Colleague consultation in professional organizations is both important and commonplace. One consequence of consultation is that some individuals acquire more prominence than others in the work contact networks. The literature suggests that variation in prominence depends on personal characteristics, such as occupation, education, ascribed traits, and activities both inside and outside the organization. Using sociometric data for the staff members of a psychiatric hospital for children, various hypotheses dealing with the effects of personal attributes are examined. An alternative explanation is that social relations within and between organizational subunits influence the likelihood that subunit members will be prominent in the hospital-wide communication network. The analysis indicates that these subunit relations have direct effects on prominence and also mediate the effects of certain personal characteristics.     

Unscharfe Konturen – kritische Standortbestimmung eines Beratungsnetzwerks

In our article, we discuss the field of network consultancy—from the perspective of a consultancy network. In the beginning, we focus on the phenomenon “network”: What is a network, what is its function? Which challenge do we have to deal with? We talk about our own experiences as a network organisation und discuss relevant topics, which also refer to ourselves. We debate whether it is always and basically possible to counsel organisational networks and talk about requirements, factors for success, and structural roadblocks in a consultancy process—also about charm and risks involved when a network of consultants counsels an organisational network. Furthermore, we are opening our toolbox: Which instruments and interventions are particularly helpful and useful in the process of organisation network consultancy? And how do we take care of our own network? In our conclusion, we finally emphasize why it is so important to deal with organisational network consultancy—because networks are the most relevant form of organisation in the future.     

Jaccard-Spline index of structural proximity in contact networks

Network analysts are increasingly being called upon to apply their expertise to groups for which the only available or reliable data is a contact network. With no opportunity to gather additional data, the merits of such applications depend on empirical studies that validate the employment of structural constructs based on contact networks. Fortunately, we possess such studies in abundance. One of the strongest research traditions in social network analysis is the development of formal constructs that may be employed in analyses of networks. I suggest that greater insight into predictive success of network constructs may be acquired by addressing the following question: what features of the contact network in which a dyad is situated allow the prediction of other relations with an accuracy that validates the imputation of the latter given data on the former? In this article, I present findings on the structural contexts of dyads in contact networks and the relationship of these contexts with two fundamental forms of cohesive cognitive relations—accorded interpersonal influence and perceived interpersonal agreement. Based on these findings, I formalize a measure of structural proximity in contact networks with values that correspond to the conditional probabilities of these two forms of cohesive cognitive relations. The substantive settings of this analysis are policy groups with members who are embedded in contact structures based on regular interpersonal communication on policy issues and cognitive structures based on perceived interpersonal agreement and accorded interpersonal influence.     

Question-order effects in social network name generators

Social network surveys are an important tool for empirical research in a variety of fields, including the study of social capital and the evaluation of educational and social policy. A growing body of methodological research sheds light on the validity and reliability of social network survey data regarding a single relation, but much less attention has been paid to the measurement of multiplex networks and the validity of comparisons among criterion relations. In this paper, we identify ways that surveys designed to collect multiplex social network data might be vulnerable to question-order effects. We then test several hypotheses using a split-ballot experiment embedded in an online multiple name generator survey of teachers’ advice networks, collected for a study of complete networks. We conclude by discussing implications for the design of multiple name generator social network surveys.     

Network stability in organizational flux: The case of in-house management consulting

This article explores the effects of organizational flux on the statics of interpersonal knowledge exchange structures. In our empirical case, organizational flux refers to high rates of personnel turnover, temporary project work, constant recombination of team memberships, and short-term collaboration. Network statics refers to the balance between forces composing and decomposing a network. Set in continuously changing organizational compositions of an in-house management-consulting unit, our study offers insights into the relationship between organizational characteristics and informal networks between experts. Against conventional intuition, we find a dense and stable structure of knowledge exchange. Furthermore, we elaborate on the two concepts of organizational flux and network statics, by comparing the observed structures with theoretical (random graphs) and empirical references (other empirical cases), and by using ERG models to account for different factors of organization, social balance, and individual attributes.     

Information communities: The network structure of communication

This study puts forward a variable clique overlap model for identifying information communities, or potentially overlapping subgroups of network actors among whom reinforced independent links ensure efficient communication. We posit that the average intensity of communication between related individuals in information communities is greater than in other areas of the network. Empirical tests show that the variable clique overlap model is indeed more effective in identifying groups of individuals that have strong internal relationships in communication networks relative to prior cohesive subgroup models; the pathways generated by such an arrangement of connections are particularly robust against disruptions of information transmission. Our findings extend the scope of network closure effects proposed by other researchers working with communication networks using social network methods and approaches, a tradition which emphasizes ties between organizations, groups, individuals, and the external environment.     

Collegial oligarchy and networks of normative alignments in transnational institution building

This paper presents a combined relational and cultural approach to transnational institution building by focusing on a network analysis of a small collegial oligarchy and normative alignments among its peers. To contribute to a theory of institutionalization, we propose hypotheses about whom professionals as institutional entrepreneurs are likely to select as members of their collegial oligarchy, about the role of social networks among them in identifying these leaders, and about the costs of alignments on these leaders’ normative choices. We test these hypotheses using mainly Exponential Random Graph Models (ERGMs) applied to a dataset including network information and normative choices collected at the so-called Venice Forum – a field-configuring event that was central in creating and mobilizing a network of European patent judges for the construction of a new transnational institution, the European Unified Patent Court. We track normative alignments on the collegial hierarchy in this network of judges and their divergent interpretations of the contemporary European patent. Highlighting this under-examined articulation of relational infrastructures and cultural framing in transnational institutionalization shows how Northern European forms of capitalism tend to dominate in this institutionalization process at the expense of the Southern European forms. It also helps reflect on the usefulness of analyses of small networks of powerful players in organizational societies, where power and influence are highly concentrated.     

The discursive structure of the social-technical divide: the example of information systems development1

The social and technical are commonly defined in opposition to each other. Yet technology practitioners are often quite comfortable with the idea that the technical is constitutively social. Drawing on an ethnographic study of a computerised information systems development project, this paper examines various usages of notions of ‘technical’. Attempts to situate the study at the ‘technical core’ of the project were met with a series of rebuffs. ‘Technical’ talk is to be understood as a categorising device which does boundary work. Technical talk invokes and performs a disjunction between networks of social relationships and stipulates a moral order with associated norms for acceptance and transition. The difficulty of penetrating the intelligibility of technical talk is understandable as a struggle in familiarising oneself with the routine social actions of a separate community. In addition, the private sphere of the technical is often distanced in time. The costs involved in journeying into the future are analogous to those of penetrating alien cultures. Ideas of progress and advance are often associated with the invocation of ‘the technical’. These connote a notion of timing which reinforces the distance and difference of—and hence depicts the costs involved in penetrating—removed sets of social relationships.     

The influence of secrecy on the communication structure of covert networks

In order to be able to devise successful strategies for destabilizing covert organizations it is vital to recognize and understand their structural properties. Every covert organization faces the constant dilemma of staying secret and ensuring the necessary coordination between its members. Using elements from multi-objective optimization and bargaining game theory we analyze which communication structures are optimal in the sense of providing a balanced tradeoff between secrecy and operational efficiency. For several different secrecy and information scenarios this tradeoff is analyzed considering the set of connected graphs of given order as possible communication structures. Assuming uniform exposure probability of individuals in the network we show that the optimal communication structure corresponds to either a network with a central individual (the star graph) or an all-to-all network (the complete graph) depending on the link detection probability, which is the probability that communication between individuals will be detected. If the probability that an individual is exposed as member of the network depends on the information hierarchy determined by the structure of the graph, the optimal communication structure corresponds to a reinforced ring or wheel graph in case of an information measure based on average performance. In worst case performance with respect to information it can be seen that windmill wing graphs approximate optimal structures. Finally we give an example how optimal structures change when considering a non-balanced tradeoff between secrecy and operational efficiency.     

Friendship Talk as Identity Work: Defining the Self Through Friend Relationships

This paper places friendships at the center of individuals' identity work, examining how individuals construct self‐identities through their talk about friend relationships and networks. We conceptualize this “friendship talk” as a subcategory of identity talk. From interviews with emerging adults, we find three strategies of friendship talk: envisioning self through others, betterment distancing, and situating with networks. These strategies demonstrate unique ways identity construction occurs through talk about friends. Individuals verbally connect with and separate from friends while constructing desired selves and moral identities. We suggest that friendship talk strategies may be generic social processes that apply beyond emerging adulthood.     

Health and the structure of adolescent social networks

Much research has explored the role of social networks in promoting health through the provision of social support. However, little work has examined how social networks themselves may be structured by health. This article investigates the link between individuals' health and the characteristics of their social network positions. We first develop theoretical predictions for how health may influence the structure of adolescent networks. We then test these predictions using longitudinal analysis of the National Longitudinal Study of Adolescent Health (Add Health). We find important relationships between the health status of adolescents and the characteristics of the social network positions within which they are embedded. Overall we find that adolescents in poor health form smaller local networks and occupy less central global positions than their healthy peers. These results also have implications for social network research, expanding the scope of factors responsible for the network positions individuals occupy.     

News and information leadership in the digital age

This paper examines information networks on social media to draw conclusions about influence relationships among members of the mass media. The project considers social networks and information patterns using Twitter data, first at the newspaper level and second at the journalist level. Using a computational approach, we look for evidence of elite-directed information flows, as well as exploring whether we find evidence of an increase in the democratization of newsmaking. This study finds that elite voices continue to dominate information networks in the digital age; however, it also finds evidence that information can move expeditiously from journalists in local and regional outlets to elite ones, and vice versa. We move further to explore the content of tweets among the journalist network, finding that there are substantial, direct interactions among elite and regional and local journalists. Our results taken together uncover new network patterns and provide a novel insight on the role of information technologies in newsmaking in the digital age.     

Assessing the bias in samples of large online networks

We consider the sampling bias introduced in the study of online networks when collecting data through publicly available APIs (application programming interfaces). We assess differences between three samples of Twitter activity; the empirical context is given by political protests taking place in May 2012. We track online communication around these protests for the period of one month, and reconstruct the network of mentions and re-tweets according to the search and the streaming APIs, and to different filtering parameters. We find that smaller samples do not offer an accurate picture of peripheral activity; we also find that the bias is greater for the network of mentions, partly because of the higher influence of snowballing in identifying relevant nodes. We discuss the implications of this bias for the study of diffusion dynamics and political communication through social media, and advocate the need for more uniform sampling procedures to study online communication.     

Assessing structural correlates to social capital in Facebook ego networks

Research in computer-mediated communication has consistently asserted that Facebook use is positively correlated with social capital. This research has drawn primarily on Williams’ (2006) bridging and bonding scales as well as behavioral attributes such as civic engagement. Yet, as social capital is inherently a structural construct, it is surprising that so little work has been done relating social capital to social structure as captured by social network site (SNS) Friendship networks. Facebook is particularly well-suited to support the examination of structure at the ego level since the networks articulated on Facebook tend to be large, dense, and indicative of many offline foci (e.g., coworkers, friends from high school). Assuming that each one of these foci only partially overlap, we initially present two hypotheses related to Facebook social networks and social capital: more foci are associated with perceptions of greater bridging social capital and more closure is associated with greater bonding social capital. Using a study of 235 employees at a Midwestern American university, we test these hypotheses alongside self-reported measures of activity on the site. Our results only partially confirm these hypotheses. In particular, using a widely used measure of closure (transitivity) we observe a strong and persistent negative relationship to bonding social capital. Although this finding is initially counter-intuitive it is easily explained by considering the topology of Facebook personal networks: networks with primarily closed triads tend to be networks with tightly bound foci (such as everyone from high school knowing each other) and few connections between foci. Networks with primarily open triads signify many crosscutting friendships across foci. Therefore, bonding social capital appears to be less tied to local clustering than to global cohesion.     

Comparing Networks Across Space and Time, Size and Species

We describe and illustrate methodology for comparing networks from diverse settings. Our empirical base consists of 42 networks from four kinds of species (humans, nonhuman primates, nonprimate mammals, and birds) and covering distinct types of relations such as influence, grooming, and agonistic encounters. The general problem is to determine whether networks are similarly structured despite their surface differences. The methodology we propose is generally applicable to the characterization and comparison of network–level social structures across multiple settings, such as different organizations, communities, or social groups, and to the examination of sources of variability in network structure. We first fit a p^* model (Wasserman and Pattison 1996) to each network to obtain estimates for effects of six structural properties on the probability of the graph. We then calculate predicted tie probabilities for each network, using both its own parameter estimates and the estimates from every other network in the collection. Comparison is based on the similarity between sets of predicted tie probabilities. We then use correspondence analysis to represent the similarities among all 42 networks and interpret the resulting configuration using information about the species and relations involved. Results show that similarities among the networks are due more to the kind of relation than to the kind of animal.