NotesFAQContact Us
Search Tips
Back to results
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ970296
Record Type: Journal
Publication Date: 2012-Jul
Pages: 15
Abstractor: As Provided
Reference Count: 0
ISSN: ISSN-0749-596X
Complex Network Structure Influences Processing in Long-Term and Short-Term Memory
Vitevitch, Michael S.; Chan, Kit Ying; Roodenrys, Steven
Journal of Memory and Language, v67 n1 p30-44 Jul 2012
Complex networks describe how entities in systems interact; the structure of such networks is argued to influence processing. One measure of network structure, clustering coefficient, C, measures the extent to which neighbors of a node are also neighbors of each other. Previous psycholinguistic experiments found that the C of phonological word-forms influenced retrieval from the mental lexicon (that portion of long-term memory dedicated to language) during the on-line recognition and production of spoken words. In the present study we examined how network structure influences other retrieval processes in long- and short-term memory. In a false-memory task--examining long-term memory--participants falsely recognized more words with low- than high-"C". In a recognition memory task--examining veridical memories in long-term memory--participants correctly recognized more words with low- than high-"C". However, participants in a serial recall task--examining reintegration in short-term memory--recalled lists comprised of high-"C" words more accurately than lists comprised of low-C words. These results demonstrate that network structure influences cognitive processes associated with several forms of memory including lexical, long-term, and short-term. (Contains 4 tables and 4 figures.)
Elsevier. 6277 Sea Harbor Drive, Orlando, FL 32887-4800. Tel: 877-839-7126; Tel: 407-345-4020; Fax: 407-363-1354; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A