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.     

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.     

DOES WHOM YOU KNOW MATTER? UNRAVELING THE INFLUENCE OF PEERS' NETWORK ATTRIBUTES ON ACADEMIC PERFORMANCE

This paper examines how students' network size, distance, prestige, and connections to influential individuals impact academic performance. Larger and closer networks facilitate information exchange, but may also increase distractions that decrease productivity. We resolve this ambiguity using administrative data from a business school that features random assignment of students to multiple overlapping sets of peers, allowing us to calculate degree, closeness, eigenvector, and Katz‐Bonacich centrality for each node. We find that increasing closeness centrality within the network negatively affects student performance measured by grade point average, suggesting that synergy reduction and information processing costs outweigh benefits from greater information access. (JEL I23, L14, L23)     

Secondhand social capital: Boundary spanning,secondhand closure,and individual performance

We move beyond the performance returns of individuals’ direct network connections to study the effects of “secondhand” social capital, i.e., from the networks of one’s contacts. We propose that certain colleagues may be more valuable to one’s job performance than others when their spillovers of novel information combine with spillovers of the cooperation needed to obtain that novelty. In a study of 1273 research and development employees across 16 business units, we find that the most benefit to one’s own performance comes from having ties that span business units and that also include secondhand closure (i.e., where one’s contacts are each embedded in a constrained, dense network). Bridging the organizational boundary provides the novelty; and secondhand closure provides the cooperation. Further, by examining who in the network is constraining these contacts, we are able to trace their cooperative motivation both to reputational and organizational identity concerns, which each create a spillover of cooperation toward the focal individual, who reaps the returns.     

Information Processing and Situational Theory: A Cognitive Response Analysis

Situational theory provides a conceptual framework for identifying and examining the active and passive information use behaviors of audiences in public relations campaigns. We suggest that the utility of situational theory may be increased by examining several possible dimensions of passive information use, using the cognitive response measurement approach. Data were collected from 85 female consumers at eight experimental sessions across the United States. Results suggest that situational theory and cognitive response approaches may be usefully combined to study a variety of dimensions of attention to messages. Such a combination may also serve to better inform message strategy in communication campaigns by providing a conceptually rigorous approach to conducting message tests.     

Ranking terrorists in networks: A sensitivity analysis of Al Qaeda's 9/11 attack

All over the world, intelligence services are collecting data concerning possible terrorist threats. This information is usually transformed into network structures in which the nodes represent the individuals in the data set and the links possible connections between these individuals. Unfortunately, it is nearly impossible to keep track of all individuals in the resulting complex network. Therefore, Lindelauf et al. (2013) introduced a methodology that ranks terrorists in a network. The rankings that result from this methodology can be used as a decision support system to efficiently allocate the scarce surveillance means of intelligence agencies. Moreover, usage of these rankings can improve the quality of surveillance which can in turn lead to prevention of attacks or destabilization of the networks under surveillance.The methodology introduced by Lindelauf et al. (2013) is based on a game theoretic centrality measure, which is innovative in the sense that it takes into account not only the structure of the network but also individual and coalitional characteristics of the members of the network. In this paper we elaborate on this methodology by introducing a new game theoretic centrality measure that better takes into account the operational strength of connected subnetworks.Moreover, we perform a sensitivity analysis on the rankings derived from this new centrality measure for the case of Al Qaeda's 9/11 attack. In this sensitivity analysis we consider firstly the possible additional information available about members of the network, secondly, variations in relational strength and, finally, the absence or presence of a small percentage of links in the network. We also introduce a case specific method to compare the different rankings that result from the sensitivity analysis and show that the new centrality measure is robust to small changes in the data.     

Decision making in networks: an experiment on structure effects in a group dictator game

In this study we examine the impact of communication networks on decision making in five-person committees. Within the framework of a group dictator game the committees must reach a majority choice for one collective transfer. We focus on the effect of the group structure on the collective decisions, and explore the effect of incomplete and asymmetric information on voting outcomes by defining three different networks structures: the unconnected network, a circle and a star. As expected the connections improved coordination within the committees, however, we find no significant difference between the network forms concerning the transfers chosen.     

Learning in social networks: Selecting profitable choices among alternatives of uncertain profitability in various networks

Social capital theory assumes that information is valuable. However, only rarely is this value explicitly modeled, and there are few examples of empirical tests of mechanisms that connect social network structure to valuable information. We model an individual decision problem in which individuals make choices that yield uncertain outcomes. The individuals can learn about the profitability of options from their own choices and from the network. We generate computer-simulated data to derive hypotheses about the effect of network characteristics on making profitable choices. We conduct a laboratory experiment to empirically test these hypotheses and find that, at the individual level, degree centrality has a positive effect on making profitable choices whereas betweenness centrality has no effect. At the network level, density has a positive effect on making profitable choices, whereas centralization does not have an effect.     

Social Explanations of Lottery Play: New Evidence Based on National Survey Data

This study examines the social contexts of gambling and analyzes social motivations for playing the lottery. We test three sociological approaches simultaneously: network effects, consumption theory, and strain theory. The data used (SOEP-IS, N = 5868 individuals) has several advantages beyond being a large-scale representative sample of the German population. With information on households, we can analyze social network effects while avoiding the problems of egocentric network data. Another benefit of the SOEP-IS is the panel structure. We use the panel structure to improve measurements of strain theory by using the decline in income over time as a measure for it. Our results suggest that the three theories explain different aspects of lottery play. Networks seem to have an influence on lottery play. Having another person in the household playing the lottery is positively associated with both the probability of playing (regularly) and expenditures on lottery tickets. Daydreams and the belief in good luck are positively associated with lottery play as well. Strain theory is confirmed insofar as we find that a decline in income is significantly related to expenditures but not to the probability of playing the lottery. Overall, this study suggests that people play the lottery depending on their social surroundings, their desire to participate in a world normally out of their reach, and the tensions they feel from the distance between their aspirations and their actual social position.     

Adding valued data to social network measures: Does it add to associations with adolescent substance use?

This research examines whether adding information about adolescent friendships (feeling of closeness to friend, visits to friend's home, interaction outside school, and parent involvement in the friendship) to social network measures increases associations with adolescent substance use. In 2002, friendship nominations were obtained from more than 4700 students in grades 6 to 8 in 13 schools. Social network measures weighted and unweighted for the valued information were created from those data and compared. The findings suggest that, although non-valued network measures and ego substance use were associated, the valued network measures did not add to those associations.     

Discovery,dissemination, and information diversity in networked groups

This paper examines the performance of networked groups on problems that require the aggregation of information from diverse sources. We present results from a behavioral experiment where groups of twenty networked participants worked on a problem that required them to pool unique information to discover a solution, and then disseminate it to others for adoption. We found that networks comprised of subgroups containing diverse information, which provided many opportunities for local synthesis of information, outperformed those comprised of homogeneous subgroups. Our findings suggest ways the configuration of a group can be altered to improve performance on a task that requires the coordinated discovery and implementation of a solution, illustrating that it is not only the total amount of information diversity in the group that matters but also its distribution within network subgroups.     

The Industry of Illegal Migration: Social Network Analysis of the Brazil‐US Migration System

In this article, we analyse the process of migration by applying a social network methodology. Using the personal network approach, we focus on a case study of the Brazil‐US migration system to analyse the formation of the so‐called “industry of illegal migration”. We suggest that in migration systems, brokerage evolves not only because of historical and cultural changes, but also because the changes emerge within a structured environment in which brokerage can thrive, and this, in turn, causes the social networks to support and produce specialized actors (individuals and organizations) embedded in the “right positions” of the social structure in the migration process. In this particular case study, we suggest that brokerage seems to take place through gender‐oriented networks and the personal experience and structural power of returned migrants. These returned migrants usually have more varied social contacts and types of relationships from which they can obtain richer information about the migration system.     

Structural holes and managerial performance: Identifying the underlying mechanisms

Structural holes theory suggests a variety of possible explanations for the empirically observed relationship between structural holes and individual managerial performance. However, little has been done to disentangle one mechanism from another. This paper empirically tests a mediated moderation model that distinguishes between the five different theoretical mechanisms: autonomy, competition, information brokering, opportunity recognition and innovativeness. The findings suggest that of these five theoretical causal motors, innovativeness plays a key role in linking network structure and network content to performance.     

‘The whole is always smaller than its parts’ – a digital test of Gabriel Tardes' monads

In this paper we argue that the new availability of digital data sets allows one to revisit Gabriel Tarde's (1843–1904) social theory that entirely dispensed with using notions such as individual or society. Our argument is that when it was impossible, cumbersome or simply slow to assemble and to navigate through the masses of information on particular items, it made sense to treat data about social connections by defining two levels: one for the element, the other for the aggregates. But once we have the experience of following individuals through their connections (which is often the case with profiles) it might be more rewarding to begin navigating datasets without making the distinction between the level of individual component and that of aggregated structure. It becomes possible to give some credibility to Tarde's strange notion of ‘monads’. We claim that it is just this sort of navigational practice that is now made possible by digitally available databases and that such a practice could modify social theory if we could visualize this new type of exploration in a coherent way.     

Psychological predispositions and network structure: The relationship between individual predispositions,structural holes and network closure

We examine the effect of individual psychological differences on network structures, proposing several hypotheses about how individual differences might predispose actors to structure their social environment by seeking network closure or by sustaining structural holes. We introduce a new triad census method to examine personal networks of strong and weak ties. For 125 egocentric networks we correlated the triad census results with several extensively researched psychological instruments. The triad census reduced to three principal components, describing central aspects of strength-of-weak-ties and structural holes theories. Psychological predispositions explained a significant proportion of the variance in each of these components. Our results suggest that people who see themselves vulnerable to external forces tend to inhabit closed networks of weak connections. On the other hand, people who seek to keep their strong tie partners apart, and thereby bridge structural holes, tend to be individualists, to believe that they control the events in their lives, and to have higher levels of neuroticism. Finally, people with strong network closure and “weak” structural holes (as with the “strength of weak ties”) tend to categorize themselves and others in terms of group memberships. They also tend to be more extraverted and less individualistic.     

“Tell Me So That I Can Help You”: Private Information and Privacy Coordination Issues in the Context of Eldercare

In order to provide competent care to aging parents, adult children, and older parents must renegotiate long-standing privacy boundaries that allow caregivers access to parents’ private information. It is reasonable to surmise that caregivers encounter privacy coordination issues when attempting to care for their aging parent. This study utilizes Communication Privacy Management theory to explore what content is considered private and what privacy coordination issues arise in the context of eldercare. Results from 27 in-depth interviews with adult children caring for an aging parent suggest that information concerning parents’ future care, health and well-being, and (in)capabilities were marked private. The findings also detail three disruptions to privacy coordination, including parental caregivers’ ambivalence toward managing parents’ care-related information. Critical implications of the study are discussed, which include how privacy turbulence may be a functional catalyst for boundary recalibration.     

The influence of network structures of Wikipedia discussion pages on the efficiency of WikiProjects

As a platform for discussion and communication, talk pages play an essential role in Wikipedia to facilitate coordination, sharing of information and knowledge resources among Wikipedians. In this work we explore the influence of network structures of these pages on the efficiency of WikiProjects. Project efficiency is measured as the amount of work done by project members in a quarter. The study uses the comments on WikiProject talk pages to construct communication networks. The structural properties of these networks are studied using ideas from social network theory. We develop three hypotheses about how network structures influence project effectiveness and examine the hypotheses using a longitudinal dataset of 362 WikiProjects. The evaluation suggests that an intermediate level of cohesion with a core of influential users dominating network flow improves effectiveness for a WikiProject, and that greater average membership tenure relates to project efficiency in a positive way. We discuss the implications of this analysis for the future management of WikiProjects.     

AN EXPERIMENTAL STUDY ON THE RELEVANCE AND SCOPE OF NATIONALITY AS A COORDINATION DEVICE

In a period marked by extensive cross‐national interactions, nationality may present an important focal point that individuals coordinate on. This study uses an experimental approach to study whether nationality serves as a coordination device. We let subjects from Japan, Korea, and China play coordination games in which we vary information about their partner. The results show that nationality serves as a coordination device if common nationality is the only piece of information available to the subjects. The strength of this device is nationality‐dependent and diminishes when participants are provided with additional information about their partner. We also find that subjects are likely to coordinate on the Pareto‐dominant equilibrium at about the same rate if the partner has a different nationality than if nationality is unknown. (JEL C91, C92, Z1, Z13)     

Kinship Caregiver Perception of a State-Supervised Kinship Navigator Program

This study evaluated a state-administered Kinship Navigator (KN) program providing information and support to grandparents and other relatives caring for children who are not in child welfare custody. Caregivers’ perceptions of types of services, impact, satisfaction, and areas for improvement were examined. Caregivers (N = 92) reported feeling supported, gaining knowledge about services, and feeling highly satisfied with the program. Caregivers expressed needs for additional financial assistance and more time with their KN. Findings suggest that the KN program may meet key service needs of informal kinship caregivers, but additional staff time and financial resource advocacy would improve the program.     

Trust and partner selection in social networks: An experimentally grounded model

This article investigates the importance of the endogenous selection of partners for trust and cooperation in market exchange situations, where there is information asymmetry between investors and trustees. We created an experimental-data driven agent-based model where the endogenous link between interaction outcome and social structure formation was examined starting from heterogeneous agent behaviour. By testing various social structure configurations, we showed that dynamic networks lead to more cooperation when agents can create more links and reduce exploitation opportunities by free riders. Furthermore, we found that the endogenous network formation was more important for cooperation than the type of network. Our results cast serious doubt about the static view of network structures on cooperation and can provide new insights into market efficiency.