Detecting Change in Longitudinal Social Networks
Bibliographic Data
| ID | 8238601 |
|---|---|
| Authors | Ian Mcculloh (0000-0003-2916-3914), Kathleen M Carley |
| Year | 2011 |
| Volume | 12 |
| Issue | 1 |
| Pages | 1-37 |
| Publication date | 2011-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Social Structure (JOURNAL) |
| Journal identifiers | ISSN: 1529-1227 • E-ISSN: 1529-1227 |
| Publisher | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.21307/joss-2019-031 |
| OpenAlex | W307289813 |
| Language | EN |
| Citations received | 15 |
| References cited | 49 |
Changes in observed social networks may signal an underlying change within an organization, and may even predict significant events or behaviors. The breakdown of a team’s effectiveness, the emergence of informal leaders, or the preparation of an attack by a clandestine network may all be associated with changes in the patterns of interactions between group members. The ability to systematically, statistically, effectively and efficiently detect these changes has the potential to enable the anticipation, early warning, and faster response to both positive and negative organizational activities. By applying statistical process control techniques to social networks we can rapidly detect changes in these networks. Herein we describe this methodology and then illustrate it using four data sets, of which the first is the Newcomb fraternity data, the second set of data is collected on a group of mid-career U.S. Army officers in a week long training exercise, the third is the perceived connections among members of al Qaeda based on open source, and the fourth data set is simulated using multi-agent simulation. The results indicate that this approach is able to detect change even with the high levels of uncertainty inherent in these data
Anticipation (artificial intelligence · Computer security · Data mining · Data set · Longitudinal data · Process (computing · Set (abstract data type · Social media · Social network (sociolinguistics · Warning system · Advanced Statistical Process Monitoring · Complex Systems and Decision Making · Computer Science · Mental Health Research Topics · Psychology · Artificial Intelligence · Social Psychology
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Narrative and Database Analysis
On measuring change in networked publics
Disrupting Dark Networks
Identifying lexical change in negative word-of-mouth on social media
A two-stage model for change point detection in large-scale weighted directed social networks using a Mewma chart
Web of Links
Detecting significant changes in dark networks
Assessing the effects of changes in British counterterrorism policy on radical Islamist networks in the UK, 1999–2008
Using Visualizations to Explore Network Dynamics
Structural Balance and Signed International Relations
A Longitudinal Network Analysis of the German Knowledge Economy from 2009 to 2019
The Spatial Conflict Life Cycle in Africa
Hiding individuals and communities in a social network
The acquaintance process.
Friendship Networks Through Time
On random graphs. I.
Error Detecting and Error Correcting Codes
Simmelian Ties
Centrality in social networks conceptual clarification
On the evolution of group and network structure II
Models for evolving fixed node networks
Structural embeddedness and stability of interpersonal relations
Testing for change in a digraph at two time points
QAP partialling as a test of spuriousness
Controlling for size in centrality scores
On the evolution of group and network structure
A Set of Measures of Centrality Based on Betweenness
Models for network evolution
Random graph models for temporal processes in social networks
Factoring and weighting approaches to status scores and clique identification
Social roles and the evolution of networks in extreme and isolated environments
A Stochastic Model for Directed Graphs with Transition Rates Determined by Reciprocity
A dynamic model for social networks
Models for network dynamics
The Statistical Evaluation of Social Network Dynamics
Stochastic actor-oriented models for network change
A Theory of Group Stability
Communication Technologies and their Effect on Cultural Homogeneity, Consensus, and the Diffusion of New Ideas
Informant Accuracy in Social Network Data
Statistical Analysis of Longitudinal Network Data With Changing Composition
Informant Accuracy in Social Network Data Ii
| Citations per year | 1.07 |
|---|---|
| Citation span | 2012 - 2025 (14) |
| Highly cited | No |