Some properties of structural equivalence measures derived from sociometric choice data

I discuss and illustrate the extent to which different relation measures and pattern similarity measures can be expected to generate different structural equivalence results. Measures of network relations and pattern similarity are reviewed to establish clear comparisons between structural equivalence measures. Using Monte Carlo sociometric choice data drawn from four strategically designed study populations, alternative relation and pattern similarity measures are combined in a factorial design generating six measures of structural equivalence within each study population. I report the magnitudes of differences between structural equivalence measures within populations, compared across populations. Three conclusions are drawn: (1) There is significant reliability across alternative measures. (2) This reliability increases with the clarity of boundaries between statuses in a study population. (3) The noticeable differences between structural equivalence measures that exist under conditions at all weaker than strong equivalence are principally a function of how relations are measured rather than how relation pattern similarities are measured. Two inferences are drawn for applied network analysis: (1) Structural equivalence should be computed from path distance measures of network relations (however normalized) rather than being computed directly from patterns of binary choice data. (2) Renewed methodological attention should shift from how we measure pattern similarity to how we measure relationships.     

A note on missing network data in the general social survey

There is very little network data missing on respondents to the 1985 General Social Survey. Missing data on relations between discussion patterns pose the greatest problem but the unknown relations are strongly associated with relations known to be weak. The association between missing and weak relations remains strong after controls for the number, strength, and nature of a respondent's discussion relations. Moreover, the association remains strong across different kinds of respondents despite significant tendencies for certain kinds of respondents to have provided incomplete network data. The implication is that the missing network data can be replaced with quantitative data indicating a weak relation.     

The development of structure in random networks: an analysis of the effects of increasing network density on five measures of structure

The density of ingroup relations continues to be proposed as an indicator of structural cohesion. Network density is obviously a misleading indicator of structural cohesion when a group has subgroups; in such circumstances, the cohesion may be entirely internal to the subgroups. However, it is plausible that network density is a useful indicator of structural cohesion when it can be assumed that a group lacks subgroups. In order to analyze this possibility, I construct a set of random networks, increase the density of relations in these networks, and observe how the networks' structure develops in terms of five measures. The results show that low densities in large networks may be associated with more structural cohesion than higher densities in smaller networks; it is suggested that in field studies, attempts to control for network size will encounter problems of nonlinearity and heteroscedasticity. I conclude that network density is not a useful indicator of structure and that direct measurement of structure is to be preferred.     

Fostering social capital in an international multi-stakeholder issue network

Scholars have theorized that public relations contributes to societies and communities by bringing attention to pressing public issues and fostering social capital in civil society networks. However, the extant research has studied civil society networks of NGOs, donors, and the media in transitional countries. This study extends the public relations model of civil society in two ways. First, it broadens the scope to an international context. Second, it draws from the multi-stakeholder issue network perspective to conceptualize a civil society network as a space where stakeholders of an issue mix their interests as they collectively address a pressing public issue. The literature on international and multi-stakeholder networks suggest that the international scope and the mixing of interests across sectors may restrict the production of social capital. The results from the social network analysis suggests that the mixing of interests across sectoral and geopolitical boundaries did not restrict the production of social capital. Rather, the patterns of the relationships among those on the core and those on the periphery of the network restricted the production of social capital. Such finding demonstrates how public relations’ functions like relationship building can have profound influences on social capital and civil society networks. The implications for public relations theorizing and research are discussed.     

Innovation as a structural interest: rethinking the impact of network position on innovation adoption

The act of adopting an innovation is argued to be a type of structural interest. The proposed conception of innovation as a structural interest describes how a potential adopter perceives utility in innovating as a function of his position in network(s) of relations with other potential adopters. Implications of the concept are in accord with diffusion research describing the linkage between social structure and innovation in terms of a potential adopter's social integration. The proposed concept avoids, however, three ambiguities in translating social integration into a structural concept stated in terms of network position. Moreover, it extends the scope of earlier work to suggest new connections between social structure and innovation.In order to make empirical implications explicit, hypotheses for a reanalysis of the classic Medical Innovation data are described. The proposed conception of innovation states the utility a doctor should perceive in prescribing a new drug as a function of his position in professional and social networks among other doctors in his community. The hypotheses predict when a doctor should begin prescribing a new drug and the relative importance of his personal characteristics versus network position as the determinant of when he begins prescribing the new drug.     

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.     

Beyond answers: dimensions of the advice network

In this paper, we report the result of a research project investigating social aspects of knowledge sharing and development. Prior research in a consulting firm revealed that respondents recognized five kinds of informational benefits when consulting others: solutions, meta-knowledge, problem reformulation, validation and legitimation. We employed these dimensions in a systematic network analysis of a different sample of people (human resource managers in a large conglomerate), using each of the five benefits as kinds of social relations. Two general research questions guided the analysis. First, how are these relations related to each other (multiplexity)? Do individuals obtain all of the benefits from the same individuals, or do they create balanced portfolios of complementary contacts that provide different benefits? Second, what properties and shapes do the networks induced by these relations form (structure)? What is the basis for who is tied to whom on each relation? The fundamental result emerging from both research questions is that the five relations seem to form a unidimensional scale such that a contact who provides any given benefit is also very likely to provide all the benefits that are lower on the scale. Position on this scale seems to index underlying dimensions of social solidarity rather than individual attributes such as status. Consequently, relations at the end of the scale (e.g. legitimation) were more homophilous and proved to be strongly diagnostic of subgroup boundaries, a fact which could be quite useful in consulting or other applied contexts. This research contributes to the literature on knowledge management by revealing diverse ways that consulting others facilitates knowledge creation and utilization. The research also contributes to social network analysis by examining meanings and relationships among social relations, an area that is understudied. We found that the five benefits, treated as social relations, formed an entailment structure consistent with a Guttman scale. We also found that relations lower in the scale flowed smoothly across historical organizational boundaries whereas relations higher in the scale did not.     

Chains and networks,territories and scales: towards a relational framework for analysing the global economy

A vast and continually expanding literature on economic globalization continues to generate a miasma of conflicting viewpoints and alternative discourses. This article argues that any understanding of the global economy must be sensitive to four considerations: (a) conceptual categories and labels carry with them the discursive power to shape material processes; (b) multiple scales of analysis must be incorporated in recognition of the contemporary ‘relativization of scale’; (c) no single institutional or organizational locus of analysis should be privileged; and (d) extrapolations from specific case studies and instances must be treated with caution, but this should not preclude the option of discussing the global economy, and power relations within it, as a structural whole. This paper advocates a network methodology as a potential framework to incorporate these concerns. Such a methodology requires us to identify actors in networks, their ongoing relations and the structural outcomes of these relations. Networks thus become the foundational unit of analysis for our understanding of the global economy, rather than individuals, firms or nation states. In presenting this argument we critically examine two examples of network methodology that have been used to provide frameworks for analysing the global economy: global commodity chains and actor‐network theory. We suggest that while they fall short of fulfilling the promise of a network methodology in some respects, they do provide indications of the utility of such a methodology as a basis for understanding the global economy.     

Exploring online opinion leadership in the network paradigm: An analysis of influential users on Twitter shaping conversations around anthem protests by prominent athletes

The current study seeks to extend the network paradigm in public relations research by exploring the role of online opinion leaders in Twitter conversations around anthem protests by prominent athletes. The aim of the study is twofold: (1) identify opinion leaders involved in Twitter conversations related to anthem protests by Colin Kaepernick and Megan Rapinoe, and (2) further understand how and why social media users participate in conversations online about controversial subjects. The study combines social network analysis with in-depth interviews to adopt a more holistic framework for studying online opinion leadership in the context of public relations research. Ultimately, results from this study extend the network paradigm in public relations by examining the role of individual users in the construction of the discursive landscape around issue networks. Additionally, findings suggest that online opinion leaders should be differentiated from social media influencers in public relations scholarship as they reflect the movement away from Homo Economicus toward Homo Dialogicus (Kent & Taylor, 2016) and their capacity to facilitate the formation of publics and counterpublics around particular issues.     

Networks of social capital: Extending a public relations model of civil society in Peru

Scholars have argued that public relations can and indeed must be used to improve society. This article builds on the work of Taylor and Doerfel (2005), who advocated for the continued study of civil society through the lens of public relations theory. This study contributes to a normative public relations model of civil society by examining how interorganizational relationships, which may initially be established for purposes of resource exchange, benefit civil society through the creation and maintenance of social capital. The study examined a segment of Peruvian civil society dedicated to media development, as media is a key partner in building civil society (Taylor, 2009). The results of the study help to explain how interorganizational relationships contribute to the creation of social capital in a civil society network, and how certain network positions are integral to maintaining the social capital of a community of actors. Implications for the role of public relations in building and maintaining networks of interorganizational communities are discussed.     

Referent Networks Predict Just Rewards

This study introduces the referent network, the set of relations defined by knowing others reward levels, and makes initial predictions about how the structure of that network shapes perceptions of income fairness. Previous research recognizes that justice assessments are driven by social comparisons; yet there is a paucity of research on how the structure of interpersonal contacts shapes justice assessments. Using a social networks perspective, the arguments here suggest that the referent network affects social comparisons, which in turn affect justice assessments of rewards. This reasoning is also integrated with the notion that people make both local and referential comparisons when determining their just rewards. An experiment evaluates these arguments. Results show support for the argument linking network structures to justice assessments and partial support for the extension to local and referential comparisons. Supplemental analyses show how reward levels qualify the arguments. Implications and directions for future research are discussed.     

The changing sociological construct of the family

Recent attempts to announce the death of the family as a useful analytical category for sociologists are rebutted as being premature. The tendency to view household relations as family relations or, indeed, couple or gender relations as family relations seems to have arisen in the early 1970s. Earlier attempts to construct an empirically grounded analysis of family relationships have been curiously neglected. An account of one family on the Isle of Sheppey in Kent provides some illustrative ethnography on both the positive uses of family members-particularly siblings - and on the way the social boundaries of this family are constructed by its members. It is argued that the family is best understood as a system of relationships that change over time. There is a curious lack of systematic ethnography of contemporary family relationships so that what is taught to students as the sociology of the family may be widely at variance with their own personal experience. This may be partly a result of relying too much on random surveys of households at the expense of detailed explorations of existing patterns of social relationships and social meanings. Developing theoretical arguments on the basis of inadequate or inappropriate ethnography is evidently a dangerous and misleading exercise.     

Dynamic exchange networks

Considering the theoretical and empirical untenability of static exchange networks, researchers have asked how exchange outcomes change when links are added or deleted. The present paper assesses the validity of seemingly sensible propositions concerning the effects of adding and deleting a link on (i) the payoffs of the actors in the link, (ii) the payoffs of actors in neighboring links and (iii) the variance of payoffs in the exchange network. The propositions were examined by applying expected value theory (EVT) to all 13,597 networks up to size 8. All propositions were falsified. Some falsifications of propositions could be attributed to EVTs prediction that actors use sub-optimal exchange relations. Since other well-known theories of exchange, like power-dependence theory and network exchange theory, also predict that actors use sub-optimal relations, these results are robust to selection of the theory of exchange.     

Eliciting representative samples of personal networks

In this paper we introduce and evaluate a method for eliciting a representative sample of total personal networks. First names were used as a cue to elicit a sample of 14 alters from 712 respondents through a telephone interview. Network characteristics for each respondent were calculated as averages and proportions across the 14 alters. These were compared to other studies using more specialized network generators. Our method produced results which are logically consistent with those expected from a generator that elicits a sample from the total rather than a specialized subset of the total network. The proportions of kin relations, average tie strength and frequency of contacts are found to be lower than network generators designed to elicit networks of social support. Given our conclusion that the sample is representative of the total network, we examine the varying characteristics of respondents and their networks based on the domination of a particular relation type in their network. This analysis provides answers to such questions as ‘What characteristics of respondents account for the proportion of family relations in their network?‘ and ‘What are the similarities between respondents whose networks are made up of mostly work-related relations?’     

Multilevel embeddedness: The case of the global fisheries governance complex

This paper explores how bilateral and multilateral clustering are embedded in a multilevel system of interdependent networks. We argue that in complex systems in which bilateral and multilateral relations are themselves interrelated, such as global fisheries governance, embeddedness cannot be reduced to unipartite or bipartite clustering but implicates multilevel closure. We elaborate expectations for ties’ multilevel embeddedness based on network theory and substantive considerations and explore them using a multilevel ERGM. We find states’ bilateral ties are embedded in their shared membership in multilateral fisheries agreements, which is itself clustered around foci represented by similar content and treaty secretariats.     

The stability of exchange networks

Economic and sociological exchange theories predict divisions of exchange benefits given an assumed fixed network of exchange relations. Since network structure has been found to have a large impact on actors’ payoffs, actors have strong incentives for network change. We answer the question what happens to both the network structure and actor payoffs when myopic actors change their links in order to maximize their payoffs. We investigate the networks that are stable, the networks that are efficient or egalitarian with varying tie costs, and the occurrence of social dilemmas. Only few networks are stable over a wide range of tie costs, and all of them can be divided into two types: efficient networks consisting of only dyads and at most one isolate, and Pareto efficient and egalitarian cycles with an odd number of actors. Social dilemmas are observed in even-sized networks at low tie costs.     

Social context,spatial structure and social network structure

Frequently, social networks are studied in their own right with analyses devoid of contextual details. Yet contextual features – both social and spatial – can have impacts on the networks formed within them. This idea is explored with five empirical networks representing different contexts and the use of distinct modeling strategies. These strategies include network visualizations, QAP regression, exponential random graph models, blockmodeling and a combination of blockmodels with exponential random graph models within a single framework. We start with two empirical examples of networks inside organizations. The familiar Bank Wiring Room data show that the social organization (social context) and spatial arrangement of the room help account for the social relations formed there. The second example comes from a police academy where two designed arrangements, one social and one spatial, powerfully determine the relational social structures formed by recruits. The next example is an inter-organizational network that emerged as part of a response to a natural disaster where features of the improvised context helped account for the relations that formed between organizations participating in the search and rescue mission. We then consider an anthropological example of signed relations among sub-tribes in the New Guinea highlands where the physical geography is fixed. This is followed by a trading network off the Dalmatian coast where geography and physical conditions matter. Through these examples, we show that context matters by shaping the structure of networks that form and that a variety of network analytic tools can be mobilized to reveal how networks are shaped, in part, by social and spatial contexts. Implications for studying social networks are suggested.     

Social capital and the added value of social relations

Almost all empirical research reveals that social capital is a factor that enhances public goods, but scholars are divided into two strands of thought. According to the first strand, the enhancement of public goods does not need any network of social relations, while, according to the second, enhancement depends on the existence and good functioning of relational networks, to the point that it consists in the creation of social networks. Which one is right? In order to clarify the issue, one should ask: can a social relation have any added social value? If so, how can we conceive of the added social value of social relations, and how can we measure it? The author claims that the added social value of social relations can be observed in those processes through which social capital and public (relational) goods (re)generate or elide each other. These processes can be analyzed as morphogenetic cycles that work in temporal sequences and are not circular or recursive. By adopting this perspective, we can see and measure the added social value of social relations in primary and secondary networks, leading to the emergence of public goods. The relational approach can give abundant evidence as to how and why different public goods are produced and/or enhanced depending on the different added social value of the social relations that constitute them.     

Network diversity,contact diversity,and status attainment

We propose that diversity in social relations measured by network diversity and cross-race/cross-gender contacts affords job seekers higher contact status that in turn brings better status attainment outcomes. Controlling for traditional strength of tie measures and other confounders, the empirical study confirms that (1) network diversity in race and gender are significantly associated with actual utilization of cross-race/cross-gender contacts in job search, (2) use of cross-race/cross-gender contacts is significantly related to higher contact status for nonwhite and female job seekers, but (3) contact status (activated social capital) partially provides jobs of higher SEI scores for white job seekers. Similarly, male job seekers obtain better jobs through female contacts, but the same does not apply to female job seekers. These findings show relative return deficits of social capital experienced by racial minorities and females even when they exert extra effort to obtain heterogeneous social relations and contacts.     

The Blog-Mediated Crisis Communication Model: Recommendations for Responding to Influential External Blogs

Practitioners and academics are buzzing about the impact of the blogosphere on public relations practices. Emerging evidence indicates that strategically managing blog-mediated public relations may be especially critical for crisis managers. Yet, no known research provides a comprehensive, theoretically sound approach indicating how crisis managers should engage with the blogosphere. Therefore, this study proposes a new conceptual model to help public relations professionals navigate the evolving blogosphere: the blog-mediated crisis communication model. This model helps crisis managers monitor the blogosphere and respond, when appropriate, to influential bloggers. Future research will test the model in applied contexts, working with corporate, government, and nonprofit organizations.